Semantic scheduling of virtualized infrastructures for scientific workflows

Virtualized Infrastructures are a promising way for providing flexible and dynamic computing solutions for resourceconsuming tasks. Scientific Workflows are one of these kind of tasks, as they need a large amount of computational resources during certain periods of time. To provide the best infrastructure configuration for a workflow it is necessary to explore as many providers as possible taking into account different criteria like Quality of Service, pricing, response time, network latency, etc. Moreover, each one of these new resources must be tuned to provide the tools and dependencies required by each of the steps of the workflow. Working with different infrastructure providers, either public or private using their own concepts and terms, and with a set of heterogeneous applications requires a framework for integrating all the information about these elements. This work proposes semantic technologies for describing and integrating all the information about the different components of the overall system and a set of policies created by the user. Based on this information a scheduling process will be performed to generate an infrastructure configuration defining the set of virtual machines that must be run and the tools that must be deployed on them.

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.

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.

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

Using Cross-Lingual Explicit Semantic Analysis for Improving Ontology Translation

Semantic Web aims to allow machines to make inferences using the explicit conceptualisations contained in ontologies. By pointing to ontologies, Semantic Web-based applications are able to inter-operate and share common information easily. Nevertheless, multilingual semantic applications are still rare, owing to the fact that most online ontologies are monolingual in English. In order to solve this issue, techniques for ontology localisation and translation are needed. However, traditional machine translation is difficult to apply to ontologies, owing to the fact that ontology labels tend to be quite short in length and linguistically different from the free text paradigm. In this paper, we propose an approach to enhance machine translation of ontologies based on exploiting the well-structured concept descriptions contained in the ontology. In particular, our approach leverages the semantics contained in the ontology by using Cross Lingual Explicit Semantic Analysis (CLESA) for context-based disambiguation in phrase-based Statistical Machine Translation (SMT). The presented work is novel in the sense that application of CLESA in SMT has not been performed earlier to the best of our knowledge.

Contradictio in terminis: dialéctica de la ambigüedad en la arquitectura contemporánea

The twentieth century brought a new sensibility characterized by the discredit of cartesian rationality and the weakening of universal truths, related with aesthetic values as order, proportion and harmony. In the middle of the century, theorists such as Theodor Adorno, Rudolf Arnheim and Anton Ehrenzweig warned about the transformation developed by the artistic field. Contemporary aesthetics seemed to have a new goal: to deny the idea of art as an organized, finished and coherent structure. The order had lost its privileged position. Disorder, probability, arbitrariness, accidentality, randomness, chaos, fragmentation, indeterminacy... Gradually new terms were coined by aesthetic criticism to explain what had been happening since the beginning of the century. The first essays on the matter sought to provide new interpretative models based on, among other arguments, the phenomenology of perception, the recent discoveries of quantum mechanics, the deeper layers of the psyche or the information theories. Overall, were worthy attempts to give theoretical content to a situation as obvious as devoid of founding charter. Finally, in 1962, Umberto Eco brought together all this efforts by proposing a single theoretical frame in his book Opera Aperta. According to his point of view, all of the aesthetic production of twentieth century had a characteristic in common: its capacity to express multiplicity. For this reason, he considered that the nature of contemporary art was, above all, ambiguous. The aim of this research is to clarify the consequences of the incorporation of ambiguity in architectural theoretical discourse. We should start making an accurate analysis of this concept. However, this task is quite difficult because ambiguity does not allow itself to be clearly defined. This concept has the disadvantage that its signifier is as imprecise as its signified. In addition, the negative connotations that ambiguity still has outside the aesthetic field, stigmatizes this term and makes its use problematic. Another problem of ambiguity is that the contemporary subject is able to locate it in all situations. This means that in addition to distinguish ambiguity in contemporary productions, so does in works belonging to remote ages and styles. For that reason, it could be said that everything is ambiguous. And that’s correct, because somehow ambiguity is present in any creation of the imperfect human being. However, as Eco, Arnheim and Ehrenzweig pointed out, there are two major differences between current and past contexts. One affects the subject and the other the object. First, it’s the contemporary subject, and no other, who has acquired the ability to value and assimilate ambiguity. Secondly, ambiguity was an unexpected aesthetic result in former periods, while in contemporary object it has been codified and is deliberately present. In any case, as Eco did, we consider appropriate the use of the term ambiguity to refer to the contemporary aesthetic field. Any other term with more specific meaning would only show partial and limited aspects of a situation quite complex and difficult to diagnose. Opposed to what normally might be expected, in this case ambiguity is the term that fits better due to its particular lack of specificity. In fact, this lack of specificity is what allows to assign a dynamic condition to the idea of ambiguity that in other terms would hardly be operative. Thus, instead of trying to define the idea of ambiguity, we will analyze how it has evolved and its consequences in architectural discipline. Instead of trying to define what it is, we will examine what its presence has supposed in each moment. We will deal with ambiguity as a constant presence that has always been latent in architectural production but whose nature has been modified over time. Eco, in the mid-twentieth century, discerned between classical ambiguity and contemporary ambiguity. Currently, half a century later, the challenge is to discern whether the idea of ambiguity has remained unchanged or have suffered a new transformation. What this research will demonstrate is that it’s possible to detect a new transformation that has much to do with the cultural and aesthetic context of last decades: the transition from modernism to postmodernism. This assumption leads us to establish two different levels of contemporary ambiguity: each one related to one these periods. The first level of ambiguity is widely well-known since many years. Its main characteristics are a codified multiplicity, an interpretative freedom and an active subject who gives conclusion to an object that is incomplete or indefinite. This level of ambiguity is related to the idea of indeterminacy, concept successfully introduced into contemporary aesthetic language. The second level of ambiguity has been almost unnoticed for architectural criticism, although it has been identified and studied in other theoretical disciplines. Much of the work of Fredric Jameson and François Lyotard shows reasonable evidences that the aesthetic production of postmodernism has transcended modern ambiguity to reach a new level in which, despite of the existence of multiplicity, the interpretative freedom and the active subject have been questioned, and at last denied. In this period ambiguity seems to have reached a new level in which it’s no longer possible to obtain a conclusive and complete interpretation of the object because it has became an unreadable device. The postmodern production offers a kind of inaccessible multiplicity and its nature is deeply contradictory. This hypothetical transformation of the idea of ambiguity has an outstanding analogy with that shown in the poetic analysis made by William Empson, published in 1936 in his Seven Types of Ambiguity. Empson established different levels of ambiguity and classified them according to their poetic effect. This layout had an ascendant logic towards incoherence. In seventh level, where ambiguity is higher, he located the contradiction between irreconcilable opposites. It could be said that contradiction, once it undermines the coherence of the object, was the better way that contemporary aesthetics found to confirm the Hegelian judgment, according to which art would ultimately reject its capacity to express truth. Much of the transformation of architecture throughout last century is related to the active involvement of ambiguity in its theoretical discourse. In modern architecture ambiguity is present afterwards, in its critical review made by theoreticians like Colin Rowe, Manfredo Tafuri and Bruno Zevi. The publication of several studies about Mannerism in the forties and fifties rescued certain virtues of an historical style that had been undervalued due to its deviation from Renacentist canon. Rowe, Tafuri and Zevi, among others, pointed out the similarities between Mannerism and certain qualities of modern architecture, both devoted to break previous dogmas. The recovery of Mannerism allowed joining ambiguity and modernity for first time in the same sentence. In postmodernism, on the other hand, ambiguity is present ex-professo, developing a prominent role in the theoretical discourse of this period. The distance between its analytical identification and its operational use quickly disappeared because of structuralism, an analytical methodology with the aspiration of becoming a modus operandi. Under its influence, architecture began to be identified and studied as a language. Thus, postmodern theoretical project discerned between the components of architectural language and developed them separately. Consequently, there is not only one, but three projects related to postmodern contradiction: semantic project, syntactic project and pragmatic project. Leading these projects are those prominent architects whose work manifested an especial interest in exploring and developing the potential of the use of contradiction in architecture. Thus, Robert Venturi, Peter Eisenman and Rem Koolhaas were who established the main features through which architecture developed the dialectics of ambiguity, in its last and extreme level, as a theoretical project in each component of architectural language. Robert Venturi developed a new interpretation of architecture based on its semantic component, Peter Eisenman did the same with its syntactic component, and also did Rem Koolhaas with its pragmatic component. With this approach this research aims to establish a new reflection on the architectural transformation from modernity to postmodernity. Also, it can serve to light certain aspects still unaware that have shaped the architectural heritage of past decades, consequence of a fruitful relationship between architecture and ambiguity and its provocative consummation in a contradictio in terminis. Esta investigación centra su atención fundamentalmente sobre las repercusiones de la incorporación de la ambigüedad en forma de contradicción en el discurso arquitectónico postmoderno, a través de cada uno de sus tres proyectos teóricos. Está estructurada, por tanto, en torno a un capítulo principal titulado Dialéctica de la ambigüedad como proyecto teórico postmoderno, que se desglosa en tres, de títulos: Proyecto semántico. Robert Venturi; Proyecto sintáctico. Peter Eisenman; y Proyecto pragmático. Rem Koolhaas. El capítulo central se complementa con otros dos situados al inicio. El primero, titulado Dialéctica de la ambigüedad contemporánea. Una aproximación realiza un análisis cronológico de la evolución que ha experimentado la idea de la ambigüedad en la teoría estética del siglo XX, sin entrar aún en cuestiones arquitectónicas. El segundo, titulado Dialéctica de la ambigüedad como crítica del proyecto moderno se ocupa de examinar la paulatina incorporación de la ambigüedad en la revisión crítica de la modernidad, que sería de vital importancia para posibilitar su posterior introducción operativa en la postmodernidad. Un último capítulo, situado al final del texto, propone una serie de Proyecciones que, a tenor de lo analizado en los capítulos anteriores, tratan de establecer una relectura del contexto arquitectónico actual y su evolución posible, considerando, en todo momento, que la reflexión en torno a la ambigüedad todavía hoy permite vislumbrar nuevos horizontes discursivos. Cada doble página de la Tesis sintetiza la estructura tripartita del capítulo central y, a grandes rasgos, la principal herramienta metodológica utilizada en la investigación. De este modo, la triple vertiente semántica, sintáctica y pragmática con que se ha identificado al proyecto teórico postmoderno se reproduce aquí en una distribución específica de imágenes, notas a pie de página y cuerpo principal del texto. En la columna de la izquierda están colocadas las imágenes que acompañan al texto principal. Su distribución atiende a criterios estéticos y compositivos, cualificando, en la medida de lo posible, su condición semántica. A continuación, a su derecha, están colocadas las notas a pie de página. Su disposición es en columna y cada nota está colocada a la misma altura que su correspondiente llamada en el texto principal. Su distribución reglada, su valor como notación y su posible equiparación con una estructura profunda aluden a su condición sintáctica. Finalmente, el cuerpo principal del texto ocupa por completo la mitad derecha de cada doble página. Concebido como un relato continuo, sin apenas interrupciones, su papel como responsable de satisfacer las demandas discursivas que plantea una investigación doctoral está en correspondencia con su condición pragmática.

On the role of semantic approximations in validation and diagnosis of constraint logic programs

Abstract is not available.

Semantic technologies in idea management systems: a model for interoperability, linking and filtering

Abstract Idea Management Systems are web applications that implement the notion of open innovation though crowdsourcing. Typically, organizations use those kind of systems to connect to large communities in order to gather ideas for improvement of products or services. Originating from simple suggestion boxes, Idea Management Systems advanced beyond collecting ideas and aspire to be a knowledge management solution capable to select best ideas via collaborative as well as expert assessment methods. In practice, however, the contemporary systems still face a number of problems usually related to information overflow and recognizing questionable quality of submissions with reasonable time and effort allocation. This thesis focuses on idea assessment problem area and contributes a number of solutions that allow to filter, compare and evaluate ideas submitted into an Idea Management System. With respect to Idea Management System interoperability the thesis proposes theoretical model of Idea Life Cycle and formalizes it as the Gi2MO ontology which enables to go beyond the boundaries of a single system to compare and assess innovation in an organization wide or market wide context. Furthermore, based on the ontology, the thesis builds a number of solutions for improving idea assessment via: community opinion analysis (MARL), annotation of idea characteristics (Gi2MO Types) and study of idea relationships (Gi2MO Links). The main achievements of the thesis are: application of theoretical innovation models for practice of Idea Management to successfully recognize the differentiation between communities, opinion metrics and their recognition as a new tool for idea assessment, discovery of new relationship types between ideas and their impact on idea clustering. Finally, the thesis outcome is establishment of Gi2MO Project that serves as an incubator for Idea Management solutions and mature open-source software alternatives for the widely available commercial suites. From the academic point of view the project delivers resources to undertake experiments in the Idea Management Systems area and managed to become a forum that gathered a number of academic and industrial partners. Resumen Los Sistemas de Gestión de Ideas son aplicaciones Web que implementan el concepto de innovación abierta con técnicas de crowdsourcing. Típicamente, las organizaciones utilizan ese tipo de sistemas para conectar con comunidades grandes y así recoger ideas sobre cómo mejorar productos o servicios. Los Sistemas de Gestión de Ideas lian avanzado más allá de recoger simplemente ideas de buzones de sugerencias y ahora aspiran ser una solución de gestión de conocimiento capaz de seleccionar las mejores ideas por medio de técnicas colaborativas, así como métodos de evaluación llevados a cabo por expertos. Sin embargo, en la práctica, los sistemas contemporáneos todavía se enfrentan a una serie de problemas, que, por lo general, están relacionados con la sobrecarga de información y el reconocimiento de las ideas de dudosa calidad con la asignación de un tiempo y un esfuerzo razonables. Esta tesis se centra en el área de la evaluación de ideas y aporta una serie de soluciones que permiten filtrar, comparar y evaluar las ideas publicadas en un Sistema de Gestión de Ideas. Con respecto a la interoperabilidad de los Sistemas de Gestión de Ideas, la tesis propone un modelo teórico del Ciclo de Vida de la Idea y lo formaliza como la ontología Gi2MO que permite ir más allá de los límites de un sistema único para comparar y evaluar la innovación en un contexto amplio dentro de cualquier organización o mercado. Por otra parte, basado en la ontología, la tesis desarrolla una serie de soluciones para mejorar la evaluación de las ideas a través de: análisis de las opiniones de la comunidad (MARL), la anotación de las características de las ideas (Gi2MO Types) y el estudio de las relaciones de las ideas (Gi2MO Links). Los logros principales de la tesis son: la aplicación de los modelos teóricos de innovación para la práctica de Sistemas de Gestión de Ideas para reconocer las diferenciasentre comu¬nidades, métricas de opiniones de comunidad y su reconocimiento como una nueva herramienta para la evaluación de ideas, el descubrimiento de nuevos tipos de relaciones entre ideas y su impacto en la agrupación de estas. Por último, el resultado de tesis es el establecimiento de proyecto Gi2MO que sirve como incubadora de soluciones para Gestión de Ideas y herramientas de código abierto ya maduras como alternativas a otros sistemas comerciales. Desde el punto de vista académico, el proyecto ha provisto de recursos a ciertos experimentos en el área de Sistemas de Gestión de Ideas y logró convertirse en un foro que reunión para un número de socios tanto académicos como industriales.

Semantic Service Discovery Techniques for the composable web

This PhD thesis contributes to the problem of resource and service discovery in the context of the composable web. In the current web, mashup technologies allow developers reusing services and contents to build new web applications. However, developers face a problem of information flood when searching for appropriate services or resources for their combination. To contribute to overcoming this problem, a framework is defined for the discovery of services and resources. In this framework, three levels are defined for performing discovery at content, discovery and agente levels. The content level involves the information available in web resources. The web follows the Representational Stateless Transfer (REST) architectural style, in which resources are returned as representations from servers to clients. These representations usually employ the HyperText Markup Language (HTML), which, along with Content Style Sheets (CSS), describes the markup employed to render representations in a web browser. Although the use of SemanticWeb standards such as Resource Description Framework (RDF) make this architecture suitable for automatic processes to use the information present in web resources, these standards are too often not employed, so automation must rely on processing HTML. This process, often referred as Screen Scraping in the literature, is the content discovery according to the proposed framework. At this level, discovery rules indicate how the different pieces of data in resources’ representations are mapped onto semantic entities. By processing discovery rules on web resources, semantically described contents can be obtained out of them. The service level involves the operations that can be performed on the web. The current web allows users to perform different tasks such as search, blogging, e-commerce, or social networking. To describe the possible services in RESTful architectures, a high-level feature-oriented service methodology is proposed at this level. This lightweight description framework allows defining service discovery rules to identify operations in interactions with REST resources. The discovery is thus performed by applying discovery rules to contents discovered in REST interactions, in a novel process called service probing. Also, service discovery can be performed by modelling services as contents, i.e., by retrieving Application Programming Interface (API) documentation and API listings in service registries such as ProgrammableWeb. For this, a unified model for composable components in Mashup-Driven Development (MDD) has been defined after the analysis of service repositories from the web. The agent level involves the orchestration of the discovery of services and contents. At this level, agent rules allow to specify behaviours for crawling and executing services, which results in the fulfilment of a high-level goal. Agent rules are plans that allow introspecting the discovered data and services from the web and the knowledge present in service and content discovery rules to anticipate the contents and services to be found on specific resources from the web. By the definition of plans, an agent can be configured to target specific resources. The discovery framework has been evaluated on different scenarios, each one covering different levels of the framework. Contenidos a la Carta project deals with the mashing-up of news from electronic newspapers, and the framework was used for the discovery and extraction of pieces of news from the web. Similarly, in Resulta and VulneraNET projects the discovery of ideas and security knowledge in the web is covered, respectively. The service level is covered in the OMELETTE project, where mashup components such as services and widgets are discovered from component repositories from the web. The agent level is applied to the crawling of services and news in these scenarios, highlighting how the semantic description of rules and extracted data can provide complex behaviours and orchestrations of tasks in the web. The main contributions of the thesis are the unified framework for discovery, which allows configuring agents to perform automated tasks. Also, a scraping ontology has been defined for the construction of mappings for scraping web resources. A novel first-order logic rule induction algorithm is defined for the automated construction and maintenance of these mappings out of the visual information in web resources. Additionally, a common unified model for the discovery of services is defined, which allows sharing service descriptions. Future work comprises the further extension of service probing, resource ranking, the extension of the Scraping Ontology, extensions of the agent model, and contructing a base of discovery rules. Resumen La presente tesis doctoral contribuye al problema de descubrimiento de servicios y recursos en el contexto de la web combinable. En la web actual, las tecnologías de combinación de aplicaciones permiten a los desarrolladores reutilizar servicios y contenidos para construir nuevas aplicaciones web. Pese a todo, los desarrolladores afrontan un problema de saturación de información a la hora de buscar servicios o recursos apropiados para su combinación. Para contribuir a la solución de este problema, se propone un marco de trabajo para el descubrimiento de servicios y recursos. En este marco, se definen tres capas sobre las que se realiza descubrimiento a nivel de contenido, servicio y agente. El nivel de contenido involucra a la información disponible en recursos web. La web sigue el estilo arquitectónico Representational Stateless Transfer (REST), en el que los recursos son devueltos como representaciones por parte de los servidores a los clientes. Estas representaciones normalmente emplean el lenguaje de marcado HyperText Markup Language (HTML), que, unido al estándar Content Style Sheets (CSS), describe el marcado empleado para mostrar representaciones en un navegador web. Aunque el uso de estándares de la web semántica como Resource Description Framework (RDF) hace apta esta arquitectura para su uso por procesos automatizados, estos estándares no son empleados en muchas ocasiones, por lo que cualquier automatización debe basarse en el procesado del marcado HTML. Este proceso, normalmente conocido como Screen Scraping en la literatura, es el descubrimiento de contenidos en el marco de trabajo propuesto. En este nivel, un conjunto de reglas de descubrimiento indican cómo los diferentes datos en las representaciones de recursos se corresponden con entidades semánticas. Al procesar estas reglas sobre recursos web, pueden obtenerse contenidos descritos semánticamente. El nivel de servicio involucra las operaciones que pueden ser llevadas a cabo en la web. Actualmente, los usuarios de la web pueden realizar diversas tareas como búsqueda, blogging, comercio electrónico o redes sociales. Para describir los posibles servicios en arquitecturas REST, se propone en este nivel una metodología de alto nivel para descubrimiento de servicios orientada a funcionalidades. Este marco de descubrimiento ligero permite definir reglas de descubrimiento de servicios para identificar operaciones en interacciones con recursos REST. Este descubrimiento es por tanto llevado a cabo al aplicar las reglas de descubrimiento sobre contenidos descubiertos en interacciones REST, en un nuevo procedimiento llamado sondeo de servicios. Además, el descubrimiento de servicios puede ser llevado a cabo mediante el modelado de servicios como contenidos. Es decir, mediante la recuperación de documentación de Application Programming Interfaces (APIs) y listas de APIs en registros de servicios como ProgrammableWeb. Para ello, se ha definido un modelo unificado de componentes combinables para Mashup-Driven Development (MDD) tras el análisis de repositorios de servicios de la web. El nivel de agente involucra la orquestación del descubrimiento de servicios y contenidos. En este nivel, las reglas de nivel de agente permiten especificar comportamientos para el rastreo y ejecución de servicios, lo que permite la consecución de metas de mayor nivel. Las reglas de los agentes son planes que permiten la introspección sobre los datos y servicios descubiertos, así como sobre el conocimiento presente en las reglas de descubrimiento de servicios y contenidos para anticipar contenidos y servicios por encontrar en recursos específicos de la web. Mediante la definición de planes, un agente puede ser configurado para descubrir recursos específicos. El marco de descubrimiento ha sido evaluado sobre diferentes escenarios, cada uno cubriendo distintos niveles del marco. El proyecto Contenidos a la Carta trata de la combinación de noticias de periódicos digitales, y en él el framework se ha empleado para el descubrimiento y extracción de noticias de la web. De manera análoga, en los proyectos Resulta y VulneraNET se ha llevado a cabo un descubrimiento de ideas y de conocimientos de seguridad, respectivamente. El nivel de servicio se cubre en el proyecto OMELETTE, en el que componentes combinables como servicios y widgets se descubren en repositorios de componentes de la web. El nivel de agente se aplica al rastreo de servicios y noticias en estos escenarios, mostrando cómo la descripción semántica de reglas y datos extraídos permiten proporcionar comportamientos complejos y orquestaciones de tareas en la web. Las principales contribuciones de la tesis son el marco de trabajo unificado para descubrimiento, que permite configurar agentes para realizar tareas automatizadas. Además, una ontología de extracción ha sido definida para la construcción de correspondencias y extraer información de recursos web. Asimismo, un algoritmo para la inducción de reglas de lógica de primer orden se ha definido para la construcción y el mantenimiento de estas correspondencias a partir de la información visual de recursos web. Adicionalmente, se ha definido un modelo común y unificado para el descubrimiento de servicios que permite la compartición de descripciones de servicios. Como trabajos futuros se considera la extensión del sondeo de servicios, clasificación de recursos, extensión de la ontología de extracción y la construcción de una base de reglas de descubrimiento.

A Description Framework and Event-Driven Architecture for the Semantic Web and Semantic Grid

In this introductory chapter we put in context and give a brief outline of the work that we thoroughly present in the rest of the dissertation. We consider this work divided in two main parts. The first part is the Firenze Framework, a knowledge level description framework rich enough to express the semantics required for describing both semantic Web services and semantic Grid services. We start by defining what the Semantic Grid is and its relation with the Semantic Web; and the possibility of their convergence since both initiatives have become mainly service-oriented. We also introduce the main motivators of the creation of this framework, one is to provide a valid description framework that works at knowledge level; the other to provide a description framework that takes into account the characteristics of Grid services in order to be able to describe them properly. The other part of the dissertation is devoted to Vega, an event-driven architecture that, by means of proposed knowledge level description framework, is able to achieve high scale provisioning of knowledge-intensive services. In this introductory chapter we portrait the anatomy of a generic event-driven architecture, and we briefly enumerate their main characteristics, which are the reason that make them our choice.

SSONDE: Semantic Similarity On liNked Data Entities

Linked data offers a promising setting to encode, publish and share metadata of resources. As the matter of fact, it is already adopted by data producers such as European Environment Agency, US and some EU Governs, whose first ambition is to share (meta)data making their processes more effective and transparent. Such as an increasing interest and involvement of data providers surely represents a genuine witness of the web of data success, but in a longer perspective, frameworks supporting linked data consumers in their decision making processes will be a compelling need. In this respect, the talk is introducing SSONDE, a framework enabling in detailed comparison, ranking and selection of linked data resources through the analysis of their RDF ontology driven metadata. SSONDE implements an instance similarity especially designed to support in resource selection, namely the process stakeholders engage to choose a set of resources suitable for a given analysis purpose: (i) it deploys an asymmetric similarity assessment to emphasize information about gains and losses the stakeholders get adopting a resource in place of another; (ii) it relies on an explicit formalization of contexts to tailor the similarity assessment with respect to specific user-defined selection goals. The talk aims at providing an insight on SSONDE instance similarity and it will briefly describe some examples of SSONDE deployment in the context of linked data consumption.

Adding semantic annotations into (Geospatial) RESTful services

In this paper the authors present an approach for the semantic annotation of RESTful services in the geospatial domain. Their approach automates some stages of the annotation process, by using a combination of resources and services: a cross-domain knowledge base like DBpedia, two domain ontologies like GeoNames and the WGS84 vocabulary, and suggestion and synonym services. The authors’ approach has been successfully evaluated with a set of geospatial RESTful services obtained from ProgrammableWeb.com, where geospatial services account for a third of the total amount of services available in this registry.

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).

Enabling query technologies for the semantic sensor web

Sensor networks are increasingly being deployed in the environment for many different purposes. The observations that they produce are made available with heterogeneous schemas, vocabularies and data formats, making it difficult to share and reuse this data, for other purposes than those for which they were originally set up. The authors propose an ontology-based approach for providing data access and query capabilities to streaming data sources, allowing users to express their needs at a conceptual level, independent of implementation and language-specific details. In this article, the authors describe the theoretical foundations and technologies that enable exposing semantically enriched sensor metadata, and querying sensor observations through SPARQL extensions, using query rewriting and data translation techniques according to mapping languages, and managing both pull and push delivery modes.

Enabling folksonomies for knowledge extraction: A semantic grounding approach

Folksonomies emerge as the result of the free tagging activity of a large number of users over a variety of resources. They can be considered as valuable sources from which it is possible to obtain emerging vocabularies that can be leveraged in knowledge extraction tasks. However, when it comes to understanding the meaning of tags in folksonomies, several problems mainly related to the appearance of synonymous and ambiguous tags arise, specifically in the context of multilinguality. The authors aim to turn folksonomies into knowledge structures where tag meanings are identified, and relations between them are asserted. For such purpose, they use DBpedia as a general knowledge base from which they leverage its multilingual capabilities.