Special issue on evolving the e-marketing mindset towards the social web model - Editorial Part 1

Con este proyecto editorial nuestro objetivo es promover un campo de investigación clave en la comercialización de hoy, es decir, la evolución de la mentalidad e-marketing hacia el nuevo modelo de web social.

COMP3016 Web Technology - Strand 3 "History" Lecture 5

Lecture 5: Web 2.0 and Social Hypertext Contains Powerpoint Lecture slides and Hypertext Research Papers: What Is Web 2.0 Design Patterns and Business Models for the Next Generation of Software . Tim O'Reilly (2005); Web 2.0: Hypertext by Any Other Name? (Millard & Ross, 2006)

A Semantic Scraping Model for Web Resources - Applying Linked Data to Web Page Screen Scraping

In spite of the increasing presence of Semantic Web Facilities, only a limited amount of the available resources in the Internet provide a semantic access. Recent initiatives such as the emerging Linked Data Web are providing semantic access to available data by porting existing resources to the semantic web using different technologies, such as database-semantic mapping and scraping. Nevertheless, existing scraping solutions are based on ad-hoc solutions complemented with graphical interfaces for speeding up the scraper development. This article proposes a generic framework for web scraping based on semantic technologies. This framework is structured in three levels: scraping services, semantic scraping model and syntactic scraping. The first level provides an interface to generic applications or intelligent agents for gathering information from the web at a high level. The second level defines a semantic RDF model of the scraping process, in order to provide a declarative approach to the scraping task. Finally, the third level provides an implementation of the RDF scraping model for specific technologies. The work has been validated in a scenario that illustrates its application to mashup technologies

OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web

OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web 1. INTRODUCTION. LINGUISTIC TOOLS AND ANNOTATIONS: THEIR LIGHTS AND SHADOWS Computational Linguistics is already a consolidated research area. It builds upon the results of other two major ones, namely Linguistics and Computer Science and Engineering, and it aims at developing computational models of human language (or natural language, as it is termed in this area). Possibly, its most well-known applications are the different tools developed so far for processing human language, such as machine translation systems and speech recognizers or dictation programs. These tools for processing human language are commonly referred to as linguistic tools. Apart from the examples mentioned above, there are also other types of linguistic tools that perhaps are not so well-known, but on which most of the other applications of Computational Linguistics are built. These other types of linguistic tools comprise POS taggers, natural language parsers and semantic taggers, amongst others. All of them can be termed linguistic annotation tools. Linguistic annotation tools are important assets. In fact, POS and semantic taggers (and, to a lesser extent, also natural language parsers) have become critical resources for the computer applications that process natural language. Hence, any computer application that has to analyse a text automatically and ‘intelligently’ will include at least a module for POS tagging. The more an application needs to ‘understand’ the meaning of the text it processes, the more linguistic tools and/or modules it will incorporate and integrate. However, linguistic annotation tools have still some limitations, which can be summarised as follows: 1. Normally, they perform annotations only at a certain linguistic level (that is, Morphology, Syntax, Semantics, etc.). 2. They usually introduce a certain rate of errors and ambiguities when tagging. This error rate ranges from 10 percent up to 50 percent of the units annotated for unrestricted, general texts. 3. Their annotations are most frequently formulated in terms of an annotation schema designed and implemented ad hoc. A priori, it seems that the interoperation and the integration of several linguistic tools into an appropriate software architecture could most likely solve the limitations stated in (1). Besides, integrating several linguistic annotation tools and making them interoperate could also minimise the limitation stated in (2). Nevertheless, in the latter case, all these tools should produce annotations for a common level, which would have to be combined in order to correct their corresponding errors and inaccuracies. Yet, the limitation stated in (3) prevents both types of integration and interoperation from being easily achieved. In addition, most high-level annotation tools rely on other lower-level annotation tools and their outputs to generate their own ones. For example, sense-tagging tools (operating at the semantic level) often use POS taggers (operating at a lower level, i.e., the morphosyntactic) to identify the grammatical category of the word or lexical unit they are annotating. Accordingly, if a faulty or inaccurate low-level annotation tool is to be used by other higher-level one in its process, the errors and inaccuracies of the former should be minimised in advance. Otherwise, these errors and inaccuracies would be transferred to (and even magnified in) the annotations of the high-level annotation tool. Therefore, it would be quite useful to find a way to (i) correct or, at least, reduce the errors and the inaccuracies of lower-level linguistic tools; (ii) unify the annotation schemas of different linguistic annotation tools or, more generally speaking, make these tools (as well as their annotations) interoperate. Clearly, solving (i) and (ii) should ease the automatic annotation of web pages by means of linguistic tools, and their transformation into Semantic Web pages (Berners-Lee, Hendler and Lassila, 2001). Yet, as stated above, (ii) is a type of interoperability problem. There again, ontologies (Gruber, 1993; Borst, 1997) have been successfully applied thus far to solve several interoperability problems. Hence, ontologies should help solve also the problems and limitations of linguistic annotation tools aforementioned. Thus, to summarise, the main aim of the present work was to combine somehow these separated approaches, mechanisms and tools for annotation from Linguistics and Ontological Engineering (and the Semantic Web) in a sort of hybrid (linguistic and ontological) annotation model, suitable for both areas. This hybrid (semantic) annotation model should (a) benefit from the advances, models, techniques, mechanisms and tools of these two areas; (b) minimise (and even solve, when possible) some of the problems found in each of them; and (c) be suitable for the Semantic Web. The concrete goals that helped attain this aim are presented in the following section. 2. GOALS OF THE PRESENT WORK As mentioned above, the main goal of this work was to specify a hybrid (that is, linguistically-motivated and ontology-based) model of annotation suitable for the Semantic Web (i.e. it had to produce a semantic annotation of web page contents). This entailed that the tags included in the annotations of the model had to (1) represent linguistic concepts (or linguistic categories, as they are termed in ISO/DCR (2008)), in order for this model to be linguistically-motivated; (2) be ontological terms (i.e., use an ontological vocabulary), in order for the model to be ontology-based; and (3) be structured (linked) as a collection of ontology-based triples, as in the usual Semantic Web languages (namely RDF(S) and OWL), in order for the model to be considered suitable for the Semantic Web. Besides, to be useful for the Semantic Web, this model should provide a way to automate the annotation of web pages. As for the present work, this requirement involved reusing the linguistic annotation tools purchased by the OEG research group (http://www.oeg-upm.net), but solving beforehand (or, at least, minimising) some of their limitations. Therefore, this model had to minimise these limitations by means of the integration of several linguistic annotation tools into a common architecture. Since this integration required the interoperation of tools and their annotations, ontologies were proposed as the main technological component to make them effectively interoperate. From the very beginning, it seemed that the formalisation of the elements and the knowledge underlying linguistic annotations within an appropriate set of ontologies would be a great step forward towards the formulation of such a model (henceforth referred to as OntoTag). Obviously, first, to combine the results of the linguistic annotation tools that operated at the same level, their annotation schemas had to be unified (or, preferably, standardised) in advance. This entailed the unification (id. standardisation) of their tags (both their representation and their meaning), and their format or syntax. Second, to merge the results of the linguistic annotation tools operating at different levels, their respective annotation schemas had to be (a) made interoperable and (b) integrated. And third, in order for the resulting annotations to suit the Semantic Web, they had to be specified by means of an ontology-based vocabulary, and structured by means of ontology-based triples, as hinted above. Therefore, a new annotation scheme had to be devised, based both on ontologies and on this type of triples, which allowed for the combination and the integration of the annotations of any set of linguistic annotation tools. This annotation scheme was considered a fundamental part of the model proposed here, and its development was, accordingly, another major objective of the present work. All these goals, aims and objectives could be re-stated more clearly as follows: Goal 1: Development of a set of ontologies for the formalisation of the linguistic knowledge relating linguistic annotation. Sub-goal 1.1: Ontological formalisation of the EAGLES (1996a; 1996b) de facto standards for morphosyntactic and syntactic annotation, in a way that helps respect the triple structure recommended for annotations in these works (which is isomorphic to the triple structures used in the context of the Semantic Web). Sub-goal 1.2: Incorporation into this preliminary ontological formalisation of other existing standards and standard proposals relating the levels mentioned above, such as those currently under development within ISO/TC 37 (the ISO Technical Committee dealing with Terminology, which deals also with linguistic resources and annotations). Sub-goal 1.3: Generalisation and extension of the recommendations in EAGLES (1996a; 1996b) and ISO/TC 37 to the semantic level, for which no ISO/TC 37 standards have been developed yet. Sub-goal 1.4: Ontological formalisation of the generalisations and/or extensions obtained in the previous sub-goal as generalisations and/or extensions of the corresponding ontology (or ontologies). Sub-goal 1.5: Ontological formalisation of the knowledge required to link, combine and unite the knowledge represented in the previously developed ontology (or ontologies). Goal 2: Development of OntoTag’s annotation scheme, a standard-based abstract scheme for the hybrid (linguistically-motivated and ontological-based) annotation of texts. Sub-goal 2.1: Development of the standard-based morphosyntactic annotation level of OntoTag’s scheme. This level should include, and possibly extend, the recommendations of EAGLES (1996a) and also the recommendations included in the ISO/MAF (2008) standard draft. Sub-goal 2.2: Development of the standard-based syntactic annotation level of the hybrid abstract scheme. This level should include, and possibly extend, the recommendations of EAGLES (1996b) and the ISO/SynAF (2010) standard draft. Sub-goal 2.3: Development of the standard-based semantic annotation level of OntoTag’s (abstract) scheme. Sub-goal 2.4: Development of the mechanisms for a convenient integration of the three annotation levels already mentioned. These mechanisms should take into account the recommendations included in the ISO/LAF (2009) standard draft. Goal 3: Design of OntoTag’s (abstract) annotation architecture, an abstract architecture for the hybrid (semantic) annotation of texts (i) that facilitates the integration and interoperation of different linguistic annotation tools, and (ii) whose results comply with OntoTag’s annotation scheme. Sub-goal 3.1: Specification of the decanting processes that allow for the classification and separation, according to their corresponding levels, of the results of the linguistic tools annotating at several different levels. Sub-goal 3.2: Specification of the standardisation processes that allow (a) complying with the standardisation requirements of OntoTag’s annotation scheme, as well as (b) combining the results of those linguistic tools that share some level of annotation. Sub-goal 3.3: Specification of the merging processes that allow for the combination of the output annotations and the interoperation of those linguistic tools that share some level of annotation. Sub-goal 3.4: Specification of the merge processes that allow for the integration of the results and the interoperation of those tools performing their annotations at different levels. Goal 4: Generation of OntoTagger’s schema, a concrete instance of OntoTag’s abstract scheme for a concrete set of linguistic annotations. These linguistic annotations result from the tools and the resources available in the research group, namely • Bitext’s DataLexica (http://www.bitext.com/EN/datalexica.asp), • LACELL’s (POS) tagger (http://www.um.es/grupos/grupo-lacell/quees.php), • Connexor’s FDG (http://www.connexor.eu/technology/machinese/glossary/fdg/), and • EuroWordNet (Vossen et al., 1998). This schema should help evaluate OntoTag’s underlying hypotheses, stated below. Consequently, it should implement, at least, those levels of the abstract scheme dealing with the annotations of the set of tools considered in this implementation. This includes the morphosyntactic, the syntactic and the semantic levels. Goal 5: Implementation of OntoTagger’s configuration, a concrete instance of OntoTag’s abstract architecture for this set of linguistic tools and annotations. This configuration (1) had to use the schema generated in the previous goal; and (2) should help support or refute the hypotheses of this work as well (see the next section). Sub-goal 5.1: Implementation of the decanting processes that facilitate the classification and separation of the results of those linguistic resources that provide annotations at several different levels (on the one hand, LACELL’s tagger operates at the morphosyntactic level and, minimally, also at the semantic level; on the other hand, FDG operates at the morphosyntactic and the syntactic levels and, minimally, at the semantic level as well). Sub-goal 5.2: Implementation of the standardisation processes that allow (i) specifying the results of those linguistic tools that share some level of annotation according to the requirements of OntoTagger’s schema, as well as (ii) combining these shared level results. In particular, all the tools selected perform morphosyntactic annotations and they had to be conveniently combined by means of these processes. Sub-goal 5.3: Implementation of the merging processes that allow for the combination (and possibly the improvement) of the annotations and the interoperation of the tools that share some level of annotation (in particular, those relating the morphosyntactic level, as in the previous sub-goal). Sub-goal 5.4: Implementation of the merging processes that allow for the integration of the different standardised and combined annotations aforementioned, relating all the levels considered. Sub-goal 5.5: Improvement of the semantic level of this configuration by adding a named entity recognition, (sub-)classification and annotation subsystem, which also uses the named entities annotated to populate a domain ontology, in order to provide a concrete application of the present work in the two areas involved (the Semantic Web and Corpus Linguistics). 3. MAIN RESULTS: ASSESSMENT OF ONTOTAG’S UNDERLYING HYPOTHESES The model developed in the present thesis tries to shed some light on (i) whether linguistic annotation tools can effectively interoperate; (ii) whether their results can be combined and integrated; and, if they can, (iii) how they can, respectively, interoperate and be combined and integrated. Accordingly, several hypotheses had to be supported (or rejected) by the development of the OntoTag model and OntoTagger (its implementation). The hypotheses underlying OntoTag are surveyed below. Only one of the hypotheses (H.6) was rejected; the other five could be confirmed. H.1 The annotations of different levels (or layers) can be integrated into a sort of overall, comprehensive, multilayer and multilevel annotation, so that their elements can complement and refer to each other. • CONFIRMED by the development of: o OntoTag’s annotation scheme, o OntoTag’s annotation architecture, o OntoTagger’s (XML, RDF, OWL) annotation schemas, o OntoTagger’s configuration. H.2 Tool-dependent annotations can be mapped onto a sort of tool-independent annotations and, thus, can be standardised. • CONFIRMED by means of the standardisation phase incorporated into OntoTag and OntoTagger for the annotations yielded by the tools. H.3 Standardisation should ease: H.3.1: The interoperation of linguistic tools. H.3.2: The comparison, combination (at the same level and layer) and integration (at different levels or layers) of annotations. • H.3 was CONFIRMED by means of the development of OntoTagger’s ontology-based configuration: o Interoperation, comparison, combination and integration of the annotations of three different linguistic tools (Connexor’s FDG, Bitext’s DataLexica and LACELL’s tagger); o Integration of EuroWordNet-based, domain-ontology-based and named entity annotations at the semantic level. o Integration of morphosyntactic, syntactic and semantic annotations. H.4 Ontologies and Semantic Web technologies (can) play a crucial role in the standardisation of linguistic annotations, by providing consensual vocabularies and standardised formats for annotation (e.g., RDF triples). • CONFIRMED by means of the development of OntoTagger’s RDF-triple-based annotation schemas. H.5 The rate of errors introduced by a linguistic tool at a given level, when annotating, can be reduced automatically by contrasting and combining its results with the ones coming from other tools, operating at the same level. However, these other tools might be built following a different technological (stochastic vs. rule-based, for example) or theoretical (dependency vs. HPS-grammar-based, for instance) approach. • CONFIRMED by the results yielded by the evaluation of OntoTagger. H.6 Each linguistic level can be managed and annotated independently. • REJECTED: OntoTagger’s experiments and the dependencies observed among the morphosyntactic annotations, and between them and the syntactic annotations. In fact, Hypothesis H.6 was already rejected when OntoTag’s ontologies were developed. We observed then that several linguistic units stand on an interface between levels, belonging thereby to both of them (such as morphosyntactic units, which belong to both the morphological level and the syntactic level). Therefore, the annotations of these levels overlap and cannot be handled independently when merged into a unique multileveled annotation. 4. OTHER MAIN RESULTS AND CONTRIBUTIONS First, interoperability is a hot topic for both the linguistic annotation community and the whole Computer Science field. The specification (and implementation) of OntoTag’s architecture for the combination and integration of linguistic (annotation) tools and annotations by means of ontologies shows a way to make these different linguistic annotation tools and annotations interoperate in practice. Second, as mentioned above, the elements involved in linguistic annotation were formalised in a set (or network) of ontologies (OntoTag’s linguistic ontologies). • On the one hand, OntoTag’s network of ontologies consists of − The Linguistic Unit Ontology (LUO), which includes a mostly hierarchical formalisation of the different types of linguistic elements (i.e., units) identifiable in a written text; − The Linguistic Attribute Ontology (LAO), which includes also a mostly hierarchical formalisation of the different types of features that characterise the linguistic units included in the LUO; − The Linguistic Value Ontology (LVO), which includes the corresponding formalisation of the different values that the attributes in the LAO can take; − The OIO (OntoTag’s Integration Ontology), which  Includes the knowledge required to link, combine and unite the knowledge represented in the LUO, the LAO and the LVO;  Can be viewed as a knowledge representation ontology that describes the most elementary vocabulary used in the area of annotation. • On the other hand, OntoTag’s ontologies incorporate the knowledge included in the different standards and recommendations for linguistic annotation released so far, such as those developed within the EAGLES and the SIMPLE European projects or by the ISO/TC 37 committee: − As far as morphosyntactic annotations are concerned, OntoTag’s ontologies formalise the terms in the EAGLES (1996a) recommendations and their corresponding terms within the ISO Morphosyntactic Annotation Framework (ISO/MAF, 2008) standard; − As for syntactic annotations, OntoTag’s ontologies incorporate the terms in the EAGLES (1996b) recommendations and their corresponding terms within the ISO Syntactic Annotation Framework (ISO/SynAF, 2010) standard draft; − Regarding semantic annotations, OntoTag’s ontologies generalise and extend the recommendations in EAGLES (1996a; 1996b) and, since no stable standards or standard drafts have been released for semantic annotation by ISO/TC 37 yet, they incorporate the terms in SIMPLE (2000) instead; − The terms coming from all these recommendations and standards were supplemented by those within the ISO Data Category Registry (ISO/DCR, 2008) and also of the ISO Linguistic Annotation Framework (ISO/LAF, 2009) standard draft when developing OntoTag’s ontologies. Third, we showed that the combination of the results of tools annotating at the same level can yield better results (both in precision and in recall) than each tool separately. In particular, 1. OntoTagger clearly outperformed two of the tools integrated into its configuration, namely DataLexica and FDG in all the combination sub-phases in which they overlapped (i.e. POS tagging, lemma annotation and morphological feature annotation). As far as the remaining tool is concerned, i.e. LACELL’s tagger, it was also outperformed by OntoTagger in POS tagging and lemma annotation, and it did not behave better than OntoTagger in the morphological feature annotation layer. 2. As an immediate result, this implies that a) This type of combination architecture configurations can be applied in order to improve significantly the accuracy of linguistic annotations; and b) Concerning the morphosyntactic level, this could be regarded as a way of constructing more robust and more accurate POS tagging systems. Fourth, Semantic Web annotations are usually performed by humans or else by machine learning systems. Both of them leave much to be desired: the former, with respect to their annotation rate; the latter, with respect to their (average) precision and recall. In this work, we showed how linguistic tools can be wrapped in order to annotate automatically Semantic Web pages using ontologies. This entails their fast, robust and accurate semantic annotation. As a way of example, as mentioned in Sub-goal 5.5, we developed a particular OntoTagger module for the recognition, classification and labelling of named entities, according to the MUC and ACE tagsets (Chinchor, 1997; Doddington et al., 2004). These tagsets were further specified by means of a domain ontology, namely the Cinema Named Entities Ontology (CNEO). This module was applied to the automatic annotation of ten different web pages containing cinema reviews (that is, around 5000 words). In addition, the named entities annotated with this module were also labelled as instances (or individuals) of the classes included in the CNEO and, then, were used to populate this domain ontology. • The statistical results obtained from the evaluation of this particular module of OntoTagger can be summarised as follows. On the one hand, as far as recall (R) is concerned, (R.1) the lowest value was 76,40% (for file 7); (R.2) the highest value was 97, 50% (for file 3); and (R.3) the average value was 88,73%. On the other hand, as far as the precision rate (P) is concerned, (P.1) its minimum was 93,75% (for file 4); (R.2) its maximum was 100% (for files 1, 5, 7, 8, 9, and 10); and (R.3) its average value was 98,99%. • These results, which apply to the tasks of named entity annotation and ontology population, are extraordinary good for both of them. They can be explained on the basis of the high accuracy of the annotations provided by OntoTagger at the lower levels (mainly at the morphosyntactic level). However, they should be conveniently qualified, since they might be too domain- and/or language-dependent. It should be further experimented how our approach works in a different domain or a different language, such as French, English, or German. • In any case, the results of this application of Human Language Technologies to Ontology Population (and, accordingly, to Ontological Engineering) seem very promising and encouraging in order for these two areas to collaborate and complement each other in the area of semantic annotation. Fifth, as shown in the State of the Art of this work, there are different approaches and models for the semantic annotation of texts, but all of them focus on a particular view of the semantic level. Clearly, all these approaches and models should be integrated in order to bear a coherent and joint semantic annotation level. OntoTag shows how (i) these semantic annotation layers could be integrated together; and (ii) they could be integrated with the annotations associated to other annotation levels. Sixth, we identified some recommendations, best practices and lessons learned for annotation standardisation, interoperation and merge. They show how standardisation (via ontologies, in this case) enables the combination, integration and interoperation of different linguistic tools and their annotations into a multilayered (or multileveled) linguistic annotation, which is one of the hot topics in the area of Linguistic Annotation. And last but not least, OntoTag’s annotation scheme and OntoTagger’s annotation schemas show a way to formalise and annotate coherently and uniformly the different units and features associated to the different levels and layers of linguistic annotation. This is a great scientific step ahead towards the global standardisation of this area, which is the aim of ISO/TC 37 (in particular, Subcommittee 4, dealing with the standardisation of linguistic annotations and resources).

A core ontological model for semantic sensor web infrastructures

Semantic Sensor Web infrastructures use ontology-based models to represent the data that they manage; however, up to now, these ontological models do not allow representing all the characteristics of distributed, heterogeneous, and web-accessible sensor data. This paper describes a core ontological model for Semantic Sensor Web infrastructures that covers these characteristics and that has been built with a focus on reusability. This ontological model is composed of different modules that deal, on the one hand, with infrastructure data and, on the other hand, with data from a specific domain, that is, the coastal flood emergency planning domain. The paper also presents a set of guidelines, followed during the ontological model development, to satisfy a common set of requirements related to modelling domain-specific features of interest and properties. In addition, the paper includes the results obtained after an exhaustive evaluation of the developed ontologies along different aspects (i.e., vocabulary, syntax, structure, semantics, representation, and context).

Improving web learning through model optimization using bootstrap for a tour-guide robot

We perform a review of Web Mining techniques and we describe a Bootstrap Statistics methodology applied to pattern model classifier optimization and verification for Supervised Learning for Tour-Guide Robot knowledge repository management. It is virtually impossible to test thoroughly Web Page Classifiers and many other Internet Applications with pure empirical data, due to the need for human intervention to generate training sets and test sets. We propose using the computer-based Bootstrap paradigm to design a test environment where they are checked with better reliability.

A model for integrating learning object repository resources into web videoconference services

Reusing Learning Objects saves time and reduce development costs. Hence, achieving their interoperability in multiple contexts is essential when creating a Learning Object Repository. On the other hand, novel web videoconference services are available due to technological advancements. Several benefits can be gained by integrating Learning Objects into these services. For instance, they can allow sharing, co-viewing and synchronized co-browsing of these resources at the same time that provide real time communication. However, several efforts need to be undertaken to achieve the interoperability with these systems. In this paper, we propose a model to integrate the resources of the Learning Object Repositories into web videoconference services. The experience of applying this model in a real e-Learning scenario achieving interoperability with two different web videoconference services is also described.

Introducción de las plataformas tecnológicas 2.0 y la innovación abierta en la estrategia empresarial: estudio del sector de componentes electrónicos

Este proyecto se encuadra dentro de los estudios de impacto que están produciendo en las empresas el desarrollo e incorporación de las nuevas tecnologías, y más concretamente la implantación de las aplicaciones provenientes de la denominada web 2.0. Se conoce con este nombre a las herramientas web que permiten una comunicación bidireccional, es decir, el usuario y la empresa pueden intercambiar opiniones, de manera que el usuario adquiere un nuevo papel más protagonista, presentando ideas, aclaraciones, gustos, críticas...que son tenidas en cuenta por la empresa para realizar su actividad. De esta manera se ha roto con el modelo anterior donde el usuario solo podía consultar la información de una página web, era simple receptor de la información. El objetivo de este estudio es conocer cómo las empresas están incorporando estas tecnologías 2.0 a su estrategia empresarial, y cómo términos como innovación abierta o co-creación están tomando mayor importancia en el entorno empresarial gracias a estas nuevas tecnologías. Si bien existen estudios a nivel de consultoría que generalmente aportan información sobre cuáles son las plataformas 2.0 más utilizadas en el mundo empresarial, no se han encontrado hasta ahora estudios que vinculen estas plataformas entre ellas y con la estructura empresarial, para poder definir un perfil de la organización que trabaja con ellas o el nivel de madurez de la incorporación de estas tecnologías en las organizaciones. Analizar cualitativamente estos aspectos, significa estudiar los nuevos conceptos incorporados a las tecnologías 2.0 en la empresa. Un análisis cuantitativo nos llevaría a estudiar de manera práctica que tipo de recursos y en qué cantidad se están utilizando y su vinculación con la estructura de la organización. Para ello: En una primera parte, nos centraremos en las diferentes formas en las que se puede acceder a Internet, y a continuación enfocaremos el estudio en los dispositivos móviles que nos permiten la conexión desde cualquier lugar y en cualquier instante. Con esto conseguiremos tener una situación actual del mercado de las TIC y veremos cómo las empresas han ido construyendo nuevas políticas para cambiar su estrategia con el fin de estar presentes en los nuevos dispositivos móviles y no perder cuota de mercado. Tras ello, veremos porqué conceptos como el de innovación abierta y proceso de co-creación han sido posibles gracias a la implantación de las tecnologías 2.0 en el ámbito empresarial, facilitando que la empresa y el usuario final cooperen y vayan de la mano en una misma dirección; la empresa se surte de las aportaciones que los usuarios ofrecen, y por otra parte el usuario se siente valorado por la empresa para conseguir la meta final. Es aquí donde comprobaremos la transformación que ha sufrido la empresa en sus distintos sectores departamentales (marketing, ventas, recursos humanos y atención al cliente) como consecuencia de la incorporación de las herramientas 2.0 al mundo laboral. Por todo ello, se enumerarán los distintos usos que realizan las empresas de las redes social más habituales, y además se describirán las principales herramientas y/o aplicaciones para monitorizar las redes sociales que servirán a la empresa para hacer un seguimiento de las mismas. La segunda parte del proyecto será un caso práctico y servirá para ofrecer una visión más real del estado actual de las empresas y su relación con las redes sociales. Para la recopilación de los datos se han escogido las empresas que pertenecen al sector de la “Fabricación de productos informáticos, electrónicos y ópticos”. En cuento a las redes sociales elegidas, han sido Facebook y Twitter. Este estudio práctico nos hará entender mejor el impacto directo que tienen las redes sociales en la actividad diaria de las empresas. Finalmente se realizarán una serie de consideraciones a modo de directrices que servirán para tratar de entender cómo se están utilizando las redes sociales en el entorno empresarial y cuál puede ser la manera más óptima de utilizarlas según el estudio presentado. ABSTRACT. This project is part of the impact studies arisen in companies by the development and incorporation of new technologies and, specifically, by the implementation of applications from the so-called web 2.0. That is how we call the web tools that allow bidirectional communication, this is, user and company can exchange opinions, in such a way that users acquire a leading role, submitting ideas, explanations, preferences, criticism... considered by the company when performing its activities. This way, we have broken with the previous model, where users could only check information from a web page and were simple information recipients. The objective of this study is to get to know how companies are incorporating these technologies 2.0 to their business strategy and how terms such as open innovation or co-creation are becoming more important in the business sphere thanks to these new technologies. Even if there are consulting studies that generally provide information about which are the platforms 2.0 more used in the business world, no studies have been found until now that link such platforms among them and with the business structure, in order to define a profile of the organization that works with them or the level of development of the incorporation of these technologies in the organizations. A qualitative analysis of these aspects involves studying the new concepts incorporated to technologies 2.0 by companies. A qualitative analysis would lead us to study in a practical manner what kind of resources and what amount are being used and their relation with the organization structure. Therefore: First, we will focus on the different ways to gain access to the Internet and, afterwards, we will focus the study on mobile devices that allow us to be connected everywhere any time. This way, we will manage to obtain a present situation of the ICT market and we will see how companies have constructed new policies to change their strategy in order to be present in the new mobile devices without losing their market share. Later, we will review why concepts such as open innovation and co-creation process have been possible thanks to the implementation of technologies 2.0 in the business environment, facilitating that companies and final users cooperate and walk hand in hand in the same direction; companies stock up on the contributions offered by users and, on the other hand, users feel appreciated by companies in the achievement of the final goal. Here we will confirm the transformation suffering by companies in different department sectors (marketing, sales, human resources and customer service) as a result of the incorporation of tools 2.0 to the work environment. Therefore, we will enumerate the different uses that companies make of the most common social networks, describing the main tools and/or applications to monitor social networks used by companies to follow them up. The second part of the project will be a case study to offer a more real vision of the present status of companies and their relation with social networks. To collect the data, we have selected companies from the “Manufacture of computer, electronic and optical products” industry. The social networks chosen are Facebook and Twitter. This case study will help us to get a better understanding of the direct impact of social networks in companies’ daily activity. Finally, we will offer a series of considerations and guidelines to try to understand how are social networks being used in the business environment and what can be the most suitable manner to use them according to this study.

Análisis, diseño e implementación de un SDK híbrido basado en tecnologías web para la integración de clientes contra una plataforma de servicios RESTFul/JSON

En el departamento de Ocio Digital de bq se desarrollan multitud de proyectos con diferentes modelos de negocio y diferentes stack tecnológicos. Para llevar a cabo todos estos proyectos, es necesario tener un ecosistema de desarrollo lo más unificado y centralizado posible. Por eso, en el departamento existe una plataforma genérica de servicios REST sobre la que se apoyan todos los aplicativos desarrollados. Para agilizar y facilitar la integración de los aplicativos con la plataforma de servicios,se desarrolla este SDK (Software Development Kit) basado en JavaScript llamado corbel-js. Este SDK ha de funcionar tanto en aplicaciones web, como en un middleware basado en node.js desarrollado también en la organización, por lo que el SDK se ha desarrollado de forma híbrida, siendo capaz de ejecutarse tanto en en el lado del cliente, como en el lado del servidor. Además, como parte de la filosofía del departamento, el desarrollo del SDK está basado en tecnologías Open Source, usando metodologías ágiles de desarrollo y un sistema de integración continua y revisión de código, garantizando la calidad del mismo. ABSTRACT A lot of different kinds of software projects are developed in the digital department of bq. To easily develop all of these projects, each one with its own business model and technology stack, it is necessary to have an unique software ecosystem. Because of that, in the software department a generic service REST platform has been developed. To support an easy integration of the applications with the service platform of the organization, this SDK(Software Development Kit) has been developed in JavaScript. As the SDK has to run under a web application and under a software middleware based in node.js, also developed in the organization, the SDK is hybrid, being capable of run inside a web client application or inside a node.js application server. As a part of the software philosophy of the department, the development of the SDK is made with a whole open source software stack, using agile software methodologies.

Estudio y desarrollo del plan de negocio de una empresa: Sistema Web que gestiona e informa sobre las cuentas digitales que el cliente ingresa

El presente documento tiene como objetivo general desarrollar un plan de negocio para analizar la viabilidad de la creación de una nueva empresa, “MyTested S.L.”. Pretende ofrecer una herramienta para que las personas puedan comunicar a sus familiares el acceso a sus cuentas digitales una vez fallecidos. En cuanto a cómo surge la idea, fue a través de una noticia que trataba sobre el derecho al olvido en las redes sociales y en internet. Investigando un poco y prestando atención a los movimientos de las grandes empresas de internet, mi compañero/socio y yo, nos dimos cuenta de que ofrecer este servicio podría valer como negocio, ya que no existe mucha competencia en el mercado. Gracias a eso, nos planteamos en más de una ocasión la posibilidad de montar nuestro propio negocio, de forma que pudiéramos utilizar los conocimientos adquiridos en la universidad como base para crear la herramienta web. Escogimos empezar el proyecto utilizándolo como materia para el trabajo de fin de grado porque nos aporta dos valores muy importantes, ayuda de la comunidad de profesores existentes en la UPM, siendo una persona de gran aporte nuestro tutor Oscar Corcho y también, porque como estamos dedicando todo el tiempo a este proyecto, tener una fecha límite para presentar tanto la parte de modelo de negocio como la parte de desarrollo en una fecha concreta, nos ayuda a planificar y mantener una presión constante sobre el proyecto y así forzar a no abandonarlo ni prolongarlo. Con ello, nos encontramos con dos grupos de dificultades, la escasa formación a nivel empresarial y creación de modelos de negocio y en el ámbito del desarrollo al desconocimiento de tecnologías y APIs de las redes sociales. Al tratarse de una herramienta Web, parte de unos costes muy bajos como el alojamiento del servidor o la contratación temporal de comerciales para publicitar la herramienta entre funerarias y hospitales. Estos factores positivos benefician tanto la realización del proyecto como su avance. Como ya se puede intuir de la lectura del párrafo anterior, el servicio que ofrece la herramienta “MyTested S.L.” está relacionado con el segmento testamental de una persona fallecida, podríamos definirlo como testamento digital. Actualmente, vivimos en un mundo que se centra cada vez más en la parte digital y es por ello, que en un futuro cercano, todas las cuentas que creamos en internet tendrán que ser cerradas o bloqueadas cuando caen en el desuso por el fallecimiento del propietario, es en ese hueco donde podemos situarnos, ofreciendo una herramienta para poder trasladar la información necesaria a las personas elegidas por el cliente para que puedan cerrar o bloquear sus cuentas digitales. Consideramos que existe una interesante oportunidad debido a la escasez de oferta de este tipo de servicios en España y a nivel mundial. En Abril de 2015 hay inscritos en el registro Nacional de últimas voluntades 185.6651 personas por lo que encontramos que un 0,397%1 de las personas en España ha registrado su testamento. El gasto medio al hacer un testamento vital ante notario de tus bienes tiene un coste de 40 a 80 euros2 , este es el principal motivo por el que la mayoría de españoles no realiza su testamento antes de morir. Con este dato obtenemos dos lecciones, lo que la herramienta ofrece no es el documento notarial de los bienes del cliente, sino la sistema, puedan bloquear o cerrar sus cuentas. La segunda lección que obtenemos es que el precio tiene que ser muy reducido para poder llegar a un gran número de personas, añadiendo también el criterio de que el cliente podrá actualizar su información, ya que la información digital es muy fácil de cambiar y frecuente. Como se podrá leer en al apartado dedicado a nuestra visión, misión y valores, aunque estamos convencidos que se puede extraer de la lectura de cualquier parte de este documento, todos nuestros objetivos los queremos conseguir no sólo buscando un enfoque empresarial a nuestro día a día, sino convirtiendo nuestra responsabilidad social sincera, en uno de los retos que más nos ilusionan, fomentando para ello, aspectos como el desarrollo web, estudios de mercado, conocimiento de las necesidades de la población, nuevas tecnologías y negocio. En general, los objetivos que se pretenden cumplir con este estudio son: - Conocer los pasos para crear una empresa - Desarrollar un documento de plan de negocio que contenga lo siguiente: - Análisis de mercado - Definición de productos y/o servicios - Plan de publicidad y expansión (marketing) - Plan financiero - Capacidad para definir los requisitos de una aplicación Web. - Capacidad de elegir la tecnología idónea y actual de un sistema Web. - Conocer el funcionamiento de una empresa y cómo comunicarse con las herramientas gubernamentales. - Comprobar si las posibilidades que nos ofrece el entorno son las adecuadas para nuestras actividades. - Estudio, análisis de la competencia - Definir los diferentes perfiles de cliente para nuestro negocio. - Analizar la viabilidad de nuestro modelo de negocio. Para ello, comenzamos realizando una definición de las características generales del proyecto, detallando cuáles son las motivaciones que han hecho a los emprendedores embarcarse en el mismo, qué servicios ofreceremos a nuestros clientes, el porqué de la elección del sector, así́ como nuestra misión, visión y valores.---ABSTRACT---The goal and aim of the present document is to develop a business plan in order to analyze the viability of build a new enterprise, that we will name MyTested S.L., it wants offer a tool for sharing and to facilitate to the relatives of a dead person the access to the digital accounts. Talking about how come up the idea, it was once a have read a news over the “right of forgotten” throughout social nets and inside internet, researching a little and paying attention to the different movements of the biggest internet companies, my peer ( and partner) and I were aware that to offer this service might be a good business, because does not exist many competitors on this kind of market service, mainly thanks of that, we have planned on several times the possibility to build our owner company, in the way to use the capabilities that we achieved in the University as based to develop and make a web tool. We choose begin this project as subject of our Final Project Degree after analyze the positive and negative point of views: The positive was because it has two main values, firstly the support of the current teachers UPM community, specially our fellow Oscar Corcho and also because we can´t dedicate all our time to this project, so to have a deadline to present either the business model as the develop on time, help us to plan and remain a constant pressure over the project and neither drop out it or extend it more that the necessary. As a web tool, neither the hosting of maintenance or for sort out a net of temporary commercials for visiting hospitals or undertaker´s or insurances, the cost don´t are expensive In the negative side, however, we found twice some main difficulties, the few training as entrepreneur level and how to build a business model and on the other hand the lack of awareness of the technologies and apps of the social net software as well. As summary, these positives facts enhance to work project out and also to develop it. As we could understand reading on the latest paragraph, the service that will do MyTested tool is relation with the testament issue of a dead person, we might call as a digital testament. Currently we are living in world which is focus further on the digital life, for that in a near future every internet accounts should be closed or locked whenever aren´t used by the dead of the owner, this is a market niche (never better said) where we can lead, offering a tool that might transfer the necessary information to the chosen persons by the client in order to allow either close or lock his digital accounts. We are considering that there are interesting opportunities due to the few offers of that kind of service in Spain and at global level. In April 2015 there were 185.6651 persons registered in the Official National last will and testament, this figure mean that the 0,397%1 of the Spaniards citizens have registered their testaments. The average cost of doing the testament of your assets with a Notary is since 40 up to 80€2, this is one of the principal motives because the majority of the Spaniards don´t do it before dead. With these data we might get two lessons, we are not talking about an official notary testament at all, it is only for close or lock the digital accounts by the chosen person by the dead client, and the latest lesson, but not least, the price of our service must be very cheaper in order to achieve touch an important amount of people, knowing also that he client will be able update the information filled, considering that this kind of information is very easy to change and update frequently. As we can read on the stage dedicated to our Vision, Mission and Values, although we are persuaded that can be read in everywhere of this document as well, our aim doesn´t be an business focus on day to day, is also to become our honest social responsibility in this challenge, that is our mainly eagerness, enhancing some aspects as the web development, market research and the knowledge of the population needs, new technologies and new market opportunities. In general the goals that we would like get within this project are: - Achieve the knowledge needs for be an entrepreneurial, and find out the steps for star a business - Achieve market research skills - Products and services definitions - Advertising plan and growth (marketing plan) - Financial plan knowledge - Capability of a web design requirements - Capability for choose the best and actual technology for web design - Knowledge over how work out inside a company and how communicate with official tools. - Check whether the possibilities of the environment are the adequate for our activities. - Research and competitiveness analysis - Define the different profiles of the target for our business. - Analyze the viability of the business model For all that, we began with a definition of the general features of the project, detailing which are the motivations those done to the entrepreneurial get on board, which kind of service we offered to the client, also why the selection of the market sector and our mission, vision and value as well.

Interoperability on e-learning 2.0: the PEACE case study

The confluence of education with the evolution of technology boosted the paradigm shift of the face-to-face learning to distance learning. In this scenario e-Learning plays an essential role as a facilitator of the teaching/learning process. However new demands associated with the new Web paradigm require that existent e-Learning environments characterized mostly by monolithic systems begin interacting with new specialized services. In this decentralized scenario the definition of a strategy of interoperability is the cornerstone to ensure the standardization communication among systems. This paper presents a definition of an interoperability strategy for an e-Learning environment at our School (ESEIG) called PEACE – Project for ESEIG Academic Content Environment. This new interoperability model relies on the application of several coordination and integration standards on several services, controlled by teachers and students, and included in the PEACE environment such as social networks, repositories, libraries, e-portfolios, intelligent tutors, recommendation systems and virtual classrooms.

How to use the standard model with own data?

In this work discuss the use of the standard model for the calculation of the solvency capital requirement (SCR) when the company aims to use the specific parameters of the model on the basis of the experience of its portfolio. In particular, this analysis focuses on the formula presented in the latest quantitative impact study (2010 CEIOPS) for non-life underwriting premium and reserve risk. One of the keys of the standard model for premium and reserves risk is the correlation matrix between lines of business. In this work we present how the correlation matrix between lines of business could be estimated from a quantitative perspective, as well as the possibility of using a credibility model for the estimation of the matrix of correlation between lines of business that merge qualitative and quantitative perspective.

Aplicació de gestió web per a la Fundació CIM

Mantenir la informació ordenada i accessible és essencial per qualsevol empresa avui en dia. Es desenvoluparà una aplicació en base web que serveixi per integrar la informació de l’empresa “Fundació CIM” respecte als clients, factures i ofertes (pressupostos). A més, el software permetrà també la creació i el manteniment de factures i albarans d’una manera ràpida i intuïtiva, millorant així el mètode actual basat en fulls de Microsoft Excel i Microsoft Access. S’establiran diferents rangs de permisos als diferents usuaris segons els seus rols.

Accessibilitat web : cas d'anàlisi a partir de les WCAG 1.0 i WCAG 2.0

El document analitza, de forma manual i detallada, l'accessibilitat de 10 pàgines web del portal de la UOC en base a les 14 pautes i 65 punts de validació de les WCAG 1.0 i en base als quatre principis de les WCAG 2.0 que a la vegada s'organitzen en 12 directius i 61 criteris de conformitat.

Aplicació web per gestió de tornejos d'escacs amb J2EE

L'aplicació consisteix en un programa web que des d'un navegador ens permet realitzar una sèrie de consultes i de gestions contra una base de dades de tornejos d'escacs. Les gestions i consultes variaran segons el rol d'usuari sigui administrador, gestor o usuari Internet. Així, l'aplicació consta d'un servidor, una base de dades, unes classes entitat Java que treballaran a la capa de model per fer els canvis a la Base de dades, unes pàgines html i jsp, que estaran a la capa de vista, uns fitxers de configuració .xml i uns fitxers .java que actuaran a la capa de control. Els rols s'han implantat a nivell de servidor, amb una pàgina de login, i segons el rol escollit, es tindrà accés a una carpeta (zona) o altra.