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    International Semantic Web Conference 2013

    ISWC 2013 is the premier international forum for the Semantic Web / Linked Data Community. The ISWC Workshops will be held on the 21st and 22nd of October in the Sydney Masonic Centre. The main conference will be held from the 23rd to the 25th of October in the Sydney Convention Centre.

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    Shubham Gupta, Pedro Szekely, Craig A. Knoblock, Aman Goel, Mohsen Taheriyan, and Maria Muslea
    University of Southern California
    Information Sciences Institute and Department of Computer Science
     
    The Linked Data cloud contains large amounts of RDF data generated from databases. Much of this RDF data, generated using tools such as D2R, is expressed in terms of vocabularies automatically derived from the schema of the original database. The generated RDF would be signicantly more useful if it were expressed in terms of commonly used vocabularies. Using today's tools, it is labor-intensive to do this. For example, one can first use D2R to automatically generate RDF from a database and then use R2R to translate the automatically generated RDF into RDF expressed in a new vocabulary. The problem is that dening the R2R mappings is dicult and labor intensive because one needs to write the mapping rules in terms of SPARQL graph patterns.
     
    In this work, we present a semi-automatic approach for building mappings that translate data in structured sources to RDF expressed in terms of a vocabulary of the user's choice. Our system, Karma, automatically derives these mappings, and provides an easy to use interface that enables users to control the automated process to guide the system to produce the desired mappings. In our evaluation, users need to interact with the system less than once per column (on average) in order to construct the desired mapping rules. The system then uses these mapping rules to generate semantically rich RDF for the data sources.
    We demonstrate Karma using a bioinformatics example and contrast it with other approaches used in that community. Bio2RDF [7] and Semantic MediaWiki Linked Data Extension (SMW-LDE) [2] are examples of efforts that integrate bioinformatics datasets by mapping them to a common vocabulary. We applied our approach to a scenario used in the SMW-LDE that integrate ABA, Uniprot, KEGG Pathway, PharmGKB and Linking Open Drug Data datasets using a common vocabulary. In this demonstration, we rst show how a user can inter-actively map these datasets to the SMW-LDE vocabulary, and then we use thesemappings to generate RDF for these sources.

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    Repositorio sobre actividad cultural en Italia

    En esta pagina es posible encontrar recursos sobres actividades culturales en link open data en Italia?

    L’uso degli standards del Semantic Web e l’adesione ai principi dei Linked Data offrono al mondo della conservazione del patrimonio culturale di rendere quelle risorse digitali “visibili e riusabili” nell’universo del Web, anche al di fuori dell’originale contesto di utilizzo.
    Questa evoluzione può far crescere la presenza di archivi e biblioteche sul Web, favorire l’emersione dei contenuti digitali di queste istituzioni e, in tal modo, dare supporto alla ricerca interdisciplinare.
    L’utilizzo di Library Linked Data offre una straordinaria possibilità di dare a queste risorse informative stabilità e persistenza indipendentemente dai formati e dai software utilizzati per la loro produzione, liberando, allo stesso tempo, le istituzioni culturali dalla “dipendenza” da un limitato numero di fornitori tecnologici specializzati.

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    Gnoss Metalibrary Brochure

    tipo de documento Pdf

    GNOSS Meta-library is the solution to build a semantic library of libraries, aggregating works and metadata of multiple libraries and making them available as Linked Data.

    The basis underlying the Meta-library project is building a unified graph of library resources and authors in order that each node is represented by a single URI, so that the author is always the same one regardless of the library where the books are located. For example, Cervantes will be the same author of a book in the Spanish National Library or in the Miguel de Cervantes Virtual Library.

    As GNOSS Meta-library works according to the standards of the Semantic Web and the principles of the Linked Open Data Web, it can connect with other parts of the Linked Open Data Web, like DBpedia, Freebase or Geonames.

    GNOSS meta-library incorporates end-user oriented applications, like facet-based searches and semantic context creation, which drastically improve user experience.

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    Hiperesteka

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    2013.6.13 noiz Equipo GNOSS

    Big Data goes to the Ballpark: The Next Generation of “Moneyball” at YarcData (Semantic Web)

    “People are overlooked for a variety of biased reasons and perceived flaws. Age, appearance, personality. Bill James and mathematics cut straight through that. Billy, of the 20,000 notable players for us to consider, I believe that there is a championship team of twenty-five people that we can afford, because everyone else in baseball undervalues them.”

    Esta fue la idea que Peter Brand (interpretado por Jonah Hill en la película Moneyball) vendió a Billy Beane, manager general de los Oakland Athletics en el 2002. El año anterior, el equipo de Beane consiguió llegar a la post-temporada, pero fueron derrotados por los Yankees. El equipo perdió 3 jugadores estrella como agentes libres, y Beane no tenía el presupuesto suficiente para reemplazarlos. Sin embargo, el analista de beisbol Brand demostró que Beane podía conseguir grandes resultados con un presupuesto pequeño, y como resultado, el equipo fue a las series mundiales el año siguiente.

    Usar los datos para encontrar jugadores infravalorados no se terminó en este equipo. Beane y Brand comenzaron una tendencia en el beisbol que cambió el juego para siempre, y el uso de los datos no ha hecho más que convertirse en más complejo y competitivo según ha aumentado el volumen y naturaleza de los datos.

    Este es el foco de la presentación de Dean Allemang, Tim Harsch y Amar Shan en la reciente conferencia de SemTech, "Big Data Analytics for Baseball". Los 3 hombres de YarcData demostraron a una sala llena de fans del beisbol y de las tecnologías semánticas como en el actual mundo de Big Data, RDF no es sólo una gran solución para sanidad, administración pública y organizaciones, sino también para el pasatiempo favorito de América.

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    Este video de algo más de 5 minutos expresa las principales ideas del proyecto web www.mismuseos.net, un proyecto desarrollado por RIAM I+L LAB, pyme tecnológica española que trabaja en el campo de la web semántica.

    The main goal of Mismuseos.net is to present a case of exploitation of Linked Data for the G.L.A.M. community through innovative end-user applications built on GNOSS, a semantic and social software platform. Mismuseos.net is a free access semantic online solution for end-users that allows them to find and discover museums-related content, and also reach some related external information thanks to the correlation with other datasets. We currently have collections of seven Spanish museums, where users can browse over 15,000 pieces of art and 2,650 artists. The featured applications are: faceted searches, enriched contexts and navigation through graphs. The search engine enables aggregated searches by different facets and summarization of results for each successive search.

    Mismuseos.net obtains the information about cultural goods from the Europeana dataset and the online collections of public Spanish Museums. It also extracts and links data from additional datasets of the Linking Open Data cloud, either to supplement information or to generate enriched contexts: Dbpedia, Geonames and Didactalia (a GNOSS project with an index of more than 50,000 open educational resources).

    Long description:

    GOALS

    Mismuseos.net shows a case of exploitation of Linked Data for the G.L.A.M. community through innovative end-user applications built on GNOSS, a semantic and social software platform. In more detail, the project is guided by the following goals:

    • Put data to work: exploit public datasets and information on museums to generate benefits for users and improve the user’s experience thanks to the potential of the semantic web.
    • Link datasets both to enrich content and generate accurate contexts of information building a cultural and educational graph.
    • Connect cultural and educational worlds in a knowledge ecosystem.

    SEMANTIC SOFTWARE SOLUTION: MISMUSEOS.NET

    Mismuseos.net is a free access semantic online solution for end-users that allows them to find and discover museums-related content, and also reach some related external information thanks to the correlation with other datasets. Mismuseos.net structures, organizes and makes available to you, in accordance with the principles promoted by the Linked Data Project, an extensive catalog of artworks that museums publish on the Web. Moreover, it links the catalog with other existing LOD educational knowledge bases allowing the generation of educational contexts related to cultural goods.

    We currently have a collection of seven Spanish museums (a meta-museum), where users can browse over 15,000 pieces of art and 2,650 artists. These are the museums included until now: Museo Bellas Artes de Bilbao, Museo Reina Sofía, Museo del Prado, Museo Sorolla, Museo de la Fundación Lázaro Galdiano, Museo del Greco and Museo de la Biblioteca Nacional (Museum of the National Spanish Library).

    Datasets used: Europeana (CER.ES collection), Dbpedia, Geonames and Didactalia (GNOSS)

    Mismuseos.net uses several datasets and sources of information:

    • Europeana dataset, specifically the data from the CER.ES collection (CER.ES is the Digital Network of Collections of Spanish Museums), and the online collections of public Spanish Museums. These two datasets were used in order to obtain the information about cultural goods (pieces of arts and museum information basically).
    • DBPedia, used to supplement the information about the author with and extract information on authors and museums location.
    • Geonames, in order to obtain the geolocation data of artists and museums, once we have obtained the names of the places from the primary source or from Dbpedia. This information will be exploited in the future to locate them in a map view.
    • Didactalia, an index of over 50,000 educational resources on gnoss.com, linked to provide users with related educational content.

    To sum up the process, the primary information has been enriched, cleaned and normalized when necessary, and uploaded to the project online space inside the gnoss.com platform, so that we can consume and exploit the data and present the end-user applications. We have prepared a general navigation through tabs that includes a homepage with content selection, a tab for the collection (pieces of art) and another one for artists. In the near future, we will also include a tab for museums. The previous entities (pieces of art, artists and museums) are represented on the platform with their specific ontologies thanks to the semantic CMS of GNOSS using standard vocabularies if available.

    Technology and main features:

    The solution has been developed on gnoss.com, a social and semantic platform with a deep focus on the generation of social knowledge ecosystems and end-user applications in a Linked Data environment. It includes faceted searches, recommendation systems and adapted contexts in education, university and enterprises. GNOSS could be conceived as a network of networks or a linked networks space oriented to using semantic technologies for data and service integration. Moreover, it has a wide range of configurable social tools, which have been mostly deactivated in the case of Mismuseos.net.

    • Semantic Content Management System (SemCMS): semantic forms engine

    GNOSS expresses user-generated content as structured data with default basic semantic standard vocabularies. This is done automatically when a user shares content on the platform. Besides, GNOSS has an engine for developing specific ontologies to represent knowledge objects, and, as a consequence, specific search engines if necessary. The semCMS allows uploading an OWL file describing the concepts and relations within a particular knowledge domain, and it generates a semantic form with all the classes and properties represented in the OWL file. This is the case of MisMuseos.net, which has ontologies with particular vocabularies for artworks, artists and museums. So, all the information is available in RDF files.

    • Faceted searches

    Mismuseos.net has a powerful faceted search engine that is generated by its semantic graphs (RDF triplets); the search engine exploits that graphs through reasoned or inference-based searches. It provides specific configurable facets for each item type. For instance, in the case of pieces of art, users can search by facets such as collection type (sculpture, drawing, painting, etc.), museum, key words, author, time period, art techniques, etc.

    By selecting a search option, it allows you to filter the results in consecutive searchers, and therefore restrict the results to a manageable number of entries. It offers summarization of the results, so that users can better understand how the results relate to all search facets. The values are recalculated for every set of results in aggregated searches. Also, one can only filter by those options where there results, avoiding incoherent search options.

    • Contexts or related information: enriched content in Mismuseos.net

    In Mismuseos.net, we have set several contexts depending on the object or entity that the user is viewing, which offer dynamically generated content:

    1. Contexts for the entity ‘piece of art’: related works by the same artist and artworks within the same particular time period (internal), artist information (internal); related educational resources of Didactalia (external, on gnoss.com).

    2. Contexts for the entity ‘artist’: artworks of the artist (internal), contemporary artists (internal), related paper toys and educational resources of Didactalia (external).

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    Hiperesteka

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    12.3.2013 noiz Equipo GNOSS

    OpenClinical: Ontologies

    Ontology - the "science of being" - typically has different meanings in different contexts. Webster's Dictionary defines ontology as:

     

    a branch of metaphysics relating to the nature and relations of being

    a particular theory about the nature of being and the kinds of existence

    Several philosophers - from Aristoteles (4th Century BC) to Leibniz (1646-1716), and more recently the 19th Century major ontologists like Bolzano, Brentano, Husserl and Frege - have provided criteria for distinguishing between different kind of objects (a.g. concrete vs. abstract) and the relations between them.

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    Hiperesteka

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    2012.12.11 noiz Equipo GNOSS

    Case Study: A Digital Music Archive (DMA) for the Norwegian National Broadcaster (NRK) using Semantic Web techniques

    Esta Web nos presenta un ejemplo de caso de studio W3C de la empresa the Norwegian National Broadcaster (NRK).

    En este proyecto han utilizado técnicas de la Web semántica con los siguientes objetivos:

    • Aumentar significativamente la eficiencia y eficacia del proceso de producción en público de radiodifusión
    • Aumentar la ventaja competitiva haciendo visibles los "activos ocultos" que son poseídos por el emisor (No eres dueño de lo que no se puede encontrar)
    • Implementar una solución capaz de integrar y alinear archivos de otras productoras para radio, televisión, películas, fotografías, etc disponibles dentro de la organización.
    • Digitalizar todas las pistas de música en un formato de alta resolución
    • Digitalización de todos los metadatos disponibles dentro de la organización
    • Representación de metadatos utilizando principios de Web Semántica
    • Hacer relaciones inesperadas e interesantes para los usuarios (periodistas y productores de programas)
    • Acceso más fácil a los archivos

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    Hiperesteka

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    2012.12.5 noiz Equipo GNOSS

    Case Study: A Semantic Web Content Repository for Clinical Research

    Esta Web nos presenta un ejemplo de caso de studio de la empresa Cleveland Clinic en el área investigación clínica.

    En ella se explica el resultado de un proyecto entre el equipo de bioinformática y Cycorp Inc.  en el cual se ha desarrollado una interfaz de consulta del estado de técnica clínicas que se construye a través de fragmentos de consulta en lenguaje natural impulsados ​​por el lenguaje interacciones con un investigador clínico . Estos fragmentos de la consulta se transforman en una secuencia de fragmentos de consulta SPARQL optimizadas que son evaluados contra un servicio SPARQL remoto.

    El servicio soporta un conjunto de datos RDF que incluyen desde procedimientos cardiovasculares hasta enfermedades infecciosas. La traducción desde RDF a lenguaje natural es posible gracias a una asignación cuidadosamente realizada de una ontología OWL. Esto se ha traducido en un lenguaje común muy expresivo para el dominio de la cirugía torácica y cardiovascular.

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    Hiperesteka

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    2012.12.4 noiz Equipo GNOSS

    Use Case: WEASEL, Vodafone R&D Corporate Semantic Web

    Esta Web describe un caso de uso W3C del grupo Vodafone.

    Vodafone I + D es una organización responsable de proporcionar nuevas tecnologías, productos y servicios. Toda la información acerca de las actividades Vodafone I + D  es registrada por sus empleados en su página web corporativa con el objetivo de estimular i) la creación y el mantenimiento de los conocimientos tecnológicos dentro de la empresa y ii) el descubrimiento de las redes sociales emergentes en torno a los diferentes ámbitos de competencia.

    Para permitir a los empleados recuperar bien esta información se ha dearrollado WEASEL, una herramienta semántica con un doble objetivo:

    •   Anotación semántica automática utilizando ontologías facilitando la agregación de datos procedentes de diferentes fuentes de información, exponiendo el contenido agregado y estructurada de una manera significativa a través de la web corporativa general. La tecnología de anotación explota las fuentes textuales y anota recursos multimedia a través de sus descripciones asociadas.
    •      El uso de ontologías también es compatible con interfaces de usuario sofisticadas para la recuperación de información. En WEASEL se han desarrollado  dos tipos de interfaces. La primera interfaz permite la explotación de la estructura de la ontología como una guía para la información de navegación. La segundo es una interfaz de lenguaje natural, que permite a los usuarios realizar consultas de texto libre donde los resultados son acompañados de una explicación.

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