Incremental SPARQL query processing

Ana I. Torre-Bastida*

*Autor correspondiente de este trabajo

    Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

    1 Cita (Scopus)

    Resumen

    The number of linked data sources available on the Web is growing at a rapid rate. Moreover, users are showing an interest for any framework that allows them to obtain answers, for a formulated query, accessing heterogeneous data sources without the need of explicitly specifying the sources to answer the query. Our proposal focus on that interest and its goal is to build a system capable of answering to user queries in an incremental way. Each time a different data source is accessed the previous answer is eventually enriched. Brokering across the data sources is enabled by using source mapping relationships. User queries are rewritten using those mappings in order to obtain translations of the original query across data sources. Semantically equivalent translations are first looked for, but semantically approximated ones are generated if equivalence is not achieved. Well defined metrics are considered to estimate the information loss, if any.

    Idioma originalInglés
    Título de la publicación alojadaThe Semantic Web
    Subtítulo de la publicación alojadaSemantics and Big Data - 10th International Conference, ESWC 2013, Proceedings
    EditorialSpringer Verlag
    Páginas712-716
    Número de páginas5
    ISBN (versión impresa)9783642382871
    DOI
    EstadoPublicada - 2013
    Evento10th International Conference on The Semantic Web: Semantics and Big Data, ESWC 2013 - Montpellier, Francia
    Duración: 26 may 201330 may 2013

    Serie de la publicación

    NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volumen7882 LNCS
    ISSN (versión impresa)0302-9743
    ISSN (versión digital)1611-3349

    Conferencia

    Conferencia10th International Conference on The Semantic Web: Semantics and Big Data, ESWC 2013
    País/TerritorioFrancia
    CiudadMontpellier
    Período26/05/1330/05/13

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