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      SIREn: Entity Retrieval System for the Web of Data

      proceedings-article

      Third BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2009) (FDIA)

      Computers XXIII Celebrating People and Technology

      1 September 2009

      Web of Data, Resource Description Framework, Semi-Structured Data, Inverted Index, Scalability

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            Abstract

            We present ongoing work on the Semantic Information Retrieval Engine (SIREn), an “entity retrieval system” specifically designed to meet the requirements of indexing and searching a large amount of semi-structured data, e.g. the entire Web of Data. SIREn supports efficient full text search with semi-structural queries and exhibits a concise index, constant time updates and inherits Information Retrieval features such as top-k queries, efficient caching and scalability via distribution over shards. We demonstrate how SIREn can effectively answer queries over 10 billion triples on single commodity machine. The prototype is currently in use in the Sindice search engine which index at the present time more than 50 million harvested documents containing semi-structured data.

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            Author and article information

            Contributors
            Conference
            September 2009
            September 2009
            : 29-35
            Affiliations
            [0001]Digital Enterprise Research Institute

            National University of Ireland

            Galway, Ireland
            Article
            10.14236/ewic/FDIA2009.6
            a2cd55d1-e98c-41cf-9043-b10b7791a37f
            © Renaud Delbru. Published by BCS Learning and Development Ltd. Third BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2009), Padua, Italy

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Third BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2009)
            FDIA
            3
            Padua, Italy
            1 September 2009
            Electronic Workshops in Computing (eWiC)
            Computers XXIII Celebrating People and Technology
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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