skip to main content
10.1145/2348283.2348438acmconferencesArticle/Chapter ViewAbstractPublication PagesirConference Proceedingsconference-collections
demonstration

RDF Xpress: a flexible expressive RDF search engine

Published:12 August 2012Publication History

ABSTRACT

We demonstrate RDF Xpress, a search engine that enables users to effectively retrieve information from large RDF knowledge bases or Linked Data Sources. RDF Xpress provides a search interface where users can combine triple patterns with keywords to form queries. Moreover, RDF Xpress supports automatic query relaxation and returns a ranked list of diverse query results.

References

  1. J. Carbonell and J. Goldstein. The use of MMR, diversity-based reranking for reordering documents and producing summaries. In SIGIR, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. S. Elbassuoni, M. Ramanath, R. Schenkel, M. Sydow, and G. Weikum. Language-model-based ranking for queries on RDF-graphs. In CIKM, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. S. Elbassuoni, M. Ramanath, and G. Weikum. Query Relaxation for Entity-Relationship Search. In ESWC, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. F. Suchanek, G. Kasneci, and G.Weikum. YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia. In WWW, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. RDF Xpress: a flexible expressive RDF search engine

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        SIGIR '12: Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
        August 2012
        1236 pages
        ISBN:9781450314725
        DOI:10.1145/2348283

        Copyright © 2012 Authors

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 12 August 2012

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • demonstration

        Acceptance Rates

        Overall Acceptance Rate792of3,983submissions,20%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader