Editor web de conexiones para la creación visual de aplicaciones composicionales mediante mashup

A lo largo de este documento se describe el trabajo llevado a cabo para el logro de todos objetivos de este Trabajo Fin de Grado, el cual tiene como objetivo principal la mejora de la herramienta de edición de las conexiones internas de un mashup proporcionada actualmente por la plataforma web WireCloud. WireCloud es una plataforma web centrada en la construcción visual de mashups de aplicaciones a partir de la interconexión de pequeñas aplicaciones web denominadas widgets. Los principales inconvenientes presentes en el actual editor de conexiones que incluye esta plataforma afectan principalmente a sus usuarios con poca experiencia en diseño web. Estos usuarios tienen dificultades a la hora de interpretar el esquema de conexiones de un mashup ajeno y también, de crear el esquema de conexiones de un mashup propio. La mejora realizada supone un cambio en la metáfora utilizada para la creación de las conexiones, que ahora se organiza en torno a unidades conceptuales denominadas comportamientos que representan subconjuntos cohesionados de conexiones con significado (representando por si mismos comportamientos relevantes del mashup). Con este cambio se logra solventar los inconvenientes que presenta el actual sistema, principalmente la necesidad de crear (y visualizar) simultáneamente todas las conexiones requeridas por el mashup, lo cual supone que: a) es difícil identificar con qué propósito se ha creado cada conexión y qué relación guardan unas conexiones con otras. b) existe un riesgo de olvidar alguna conexión, fundamentalmente por ser difícil la interpretación del propósito de cada conexión y por la imposibilidad de identificar y nombrar conjuntos de conexiones que tienen un propósito determinado. Antes de implementar el código fuente se realizó un estudio pormenorizado de las tecnologías que actualmente utiliza WireCloud, además de un estudio en profundidad de la situación del anterior editor y de las nuevas características y ventajas buscadas en este nuevo editor. Con este último propósito se definieron varios casos de estudio que ayudaron a concretar qué se ha de entender por un comportamiento en el diseño de las conexiones de un mashup y también, ayudaron a definir la mejor organización visual del nuevo editor en torno al concepto de comportamiento. El resto del trabajo consistió en la implementación del nuevo editor y en la elaboración de toda la documentación relacionada: principalmente el manual de uso del nuevo editor que estará disponible como parte de la documentación online de WireCloud.---ABSTRACT---This document describes the work carried out for the achievement of all targets of this Final Project, which has as its main objective the improvement of the edition tool of the mashup’s internal connections that is currently provided by WireCloud. WireCloud is a web platform focused on building visual of web mashups from the interconnection of web applications called web widgets. The main drawbacks present in the current web editor of connections, includes on this platform, mainly affect to users with little experience in web design. These users have difficulties for interpreting the wiring diagram of any web mashup and also, creating the wiring diagram of an own web mashup. The improvement made a change in the metaphor used for creating connections, now managing a conceptual units called behaviors that represent subsets of meaningful connections. This change overcomes the drawbacks of the current system, mainly the need to create and display simultaneously all connections required by the web mashup, which means that: a) Difficultly identify what purpose is created each connection and how they relate to each other connections. b) There is the risk of forgetting some connection, mainly for being difficult to interpret the purpose of each connection and the inability to identify and name sets of connections that have a specific purpose. Before deploying the source code, the study of the technologies currently used WireCloud was performed, plus the study of the situation of the previous editor and new features and advantages searched for this new editor was performed too. For the latter purpose was defined several case studies that helped to specify what understood by behavior in the design of the connections of a web mashup and also that helped to define the best visual organization of the new behavior-oriented wiring editor. The rest of the work involved in implementing the new wiring web editor and in the preparation of all documentation related: mainly user manual for using the new wiring web editor that will be available as part of the WireCloud online documentation.

Cross-lingual ontology matching as a challenge for the Multilingual Semantic Web

Recently, the Semantic Web has experienced significant advancements in standards and techniques, as well as in the amount of semantic information available online. Nevertheless, mechanisms are still needed to automatically reconcile information when it is expressed in different natural languages on the Web of Data, in order to improve the access to semantic information across language barriers. In this context several challenges arise [1], such as: (i) ontology translation/localization, (ii) cross-lingual ontology mappings, (iii) representation of multilingual lexical information, and (iv) cross-lingual access and querying of linked data. In the following we will focus on the second challenge, which is the necessity of establishing, representing and storing cross-lingual links among semantic information on the Web. In fact, in a “truly” multilingual Semantic Web, semantic data with lexical representations in one natural language would be mapped to equivalent or related information in other languages, thus making navigation across multilingual information possible for software agents.

Cross-lingual Linking on the Multilingual Web of Data (position statement)

Recently, the Semantic Web has experienced signi�cant advancements in standards and techniques, as well as in the amount of semantic information available online. Even so, mechanisms are still needed to automatically reconcile semantic information when it is expressed in di�erent natural languages, so that access to Web information across language barriers can be improved. That requires developing techniques for discovering and representing cross-lingual links on the Web of Data. In this paper we explore the different dimensions of such a problem and reflect on possible avenues of research on that topic.

Semantic Heterogeneity Issues on the Web

The Semantic Web is an extension of the traditional Web in which meaning of information is well defined, thus allowing a better interaction between people and computers. To accomplish its goals, mechanisms are required to make explicit the semantics of Web resources, to be automatically processed by software agents (this semantics being described by means of online ontologies). Nevertheless, issues arise caused by the semantic heterogeneity that naturally happens on the Web, namely redundancy and ambiguity. For tackling these issues, we present an approach to discover and represent, in a non-redundant way, the intended meaning of words in Web applications, while taking into account the (often unstructured) context in which they appear. To that end, we have developed novel ontology matching, clustering, and disambiguation techniques. Our work is intended to help bridge the gap between syntax and semantics for the Semantic Web construction.

Challenges for the Multilingual Web of Data

The Web has witnessed an enormous growth in the amount of semantic information published in recent years. This growth has been stimulated to a large extent by the emergence of Linked Data. Although this brings us a big step closer to the vision of a Semantic Web, it also raises new issues such as the need for dealing with information expressed in different natural languages. Indeed, although the Web of Data can contain any kind of information in any language, it still lacks explicit mechanisms to automatically reconcile such information when it is expressed in different languages. This leads to situations in which data expressed in a certain language is not easily accessible to speakers of other languages. The Web of Data shows the potential for being extended to a truly multilingual web as vocabularies and data can be published in a language-independent fashion, while associated language-dependent (linguistic) information supporting the access across languages can be stored separately. In this sense, the multilingual Web of Data can be realized in our view as a layer of services and resources on top of the existing Linked Data infrastructure adding i) linguistic information for data and vocabularies in different languages, ii) mappings between data with labels in different languages, and iii) services to dynamically access and traverse Linked Data across different languages. In this article we present this vision of a multilingual Web of Data. We discuss challenges that need to be addressed to make this vision come true and discuss the role that techniques such as ontology localization, ontology mapping, and cross-lingual ontology-based information access and presentation will play in achieving this. Further, we propose an initial architecture and describe a roadmap that can provide a basis for the implementation of this vision.

Interchanging lexical resources on the Semantic Web

Lexica and terminology databases play a vital role in many NLP applications, but currently most such resources are published in application-specific formats, or with custom access interfaces, leading to the problem that much of this data is in ‘‘data silos’’ and hence difficult to access. The Semantic Web and in particular the Linked Data initiative provide effective solutions to this problem, as well as possibilities for data reuse by inter-lexicon linking, and incorporation of data categories by dereferencable URIs. The Semantic Web focuses on the use of ontologies to describe semantics on the Web, but currently there is no standard for providing complex lexical information for such ontologies and for describing the relationship between the lexicon and the ontology. We present our model, lemon, which aims to address these gaps

Cross‐lingual link discovery in the Web of Data

Cross‐lingual link discovery in the Web of Data

What is the current state of the Multilingual Web of Data?

The Semantic Web is growing at a fast pace, recently boosted by the creation of the Linked Data initiative and principles. Methods, standards, techniques and the state of technology are becoming more mature and therefore are easing the task of publication and consumption of semantic information on the Web.

Detecting Good Practices and Pitfalls when Publishing Vocabularies on the Web

The uptake of Linked Data (LD) has promoted the proliferation of datasets and their associated ontologies bringing their semantic to the data being published. These ontologies should be evaluated at different stages, both during their development and their publication. As important as correctly modelling the intended part of the world to be captured in an ontology, is publishing, sharing and facilitating the (re)use of the obtained model. In this paper, 11 evaluation characteristics, with respect to publish, share and facilitate the reuse, are proposed. In particular, 6 good practices and 5 pitfalls are presented, together with their associated detection methods. In addition, a grid-based rating system is generated. Both contributions, the set of evaluation characteristics and the grid system, could be useful for ontologists in order to reuse existing LD vocabularies or to check the one being built.