• DocumentCode
    1911753
  • Title

    A SPARQL Query Rewriting Approach on Heterogeneous Ontologies with Mapping Reliability

  • Author

    Fujino, Takahisa ; Fukuta, Naoki

  • Author_Institution
    Grad. Sch. of Inf., Shizuoka Univ., Hamamatsu, Japan
  • fYear
    2012
  • fDate
    20-22 Sept. 2012
  • Firstpage
    230
  • Lastpage
    235
  • Abstract
    SPARQL is a standard query language for RDF data that are commonly used to represent and store Semantic Web data. There are a lot of SPARQL endpoints to retrieve and see the data by SPARQL queries. Although it greatly helps us query semantic data with ontologies, their diversity of ontologies make it difficult to query the data without understanding of their target ontologies. Although it is possible to use ontology mapping techniques to convert a query based on an ontology to another one based on another ontology, it is assumed to be able to define complete mappings among the two ontologies without any loss of their semantics. In this paper, we present an approach about SPARQL query rewriting when ontology mappings are not complete. We show a way of rewriting a SPARQL query with one ontology to another query on a different ontology when we can specify an ordering based on their mapping reliability.
  • Keywords
    ontologies (artificial intelligence); query languages; semantic Web; RDF data; SPARQL endpoints; SPARQL queries; SPARQL query rewriting approach; heterogeneous ontologies; mapping reliability; ontology mappings; query semantic data; semantic Web data; standard query language; Educational institutions; Informatics; Ontologies; Resource description framework; Semantics; Standards; Syntactics; SPARQL; Semantic Web; federated query; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Applied Informatics (IIAIAAI), 2012 IIAI International Conference on
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-1-4673-2719-0
  • Type

    conf

  • DOI
    10.1109/IIAI-AAI.2012.54
  • Filename
    6337194