A system description of natural language query over DBpedia

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    12 Citations (Scopus)

    Abstract

    This paper describes our system, which is developed as a first step towards implementing a methodology for natural language querying over semantic structured information (semantic web). This work focuses on interpretation of natural language queries (NL-Query) to facilitate querying over Linked Data. This interpretation includes query annotation with Linked Data concepts (classes and instances), a deep linguistic analysis and semantic similarity/relatedness to generate potential SPARQL queries for a given NL-Query. We evaluate our approach on QALD-2 test dataset and achieve a F1 score of 0.46, an average precision of 0.44 and an average recall of 0.48.

    Original languageEnglish
    Pages (from-to)96-99
    Number of pages4
    JournalCEUR Workshop Proceedings
    Volume913
    Publication statusPublished - 2012
    EventWorkshop on Interacting with Linked Data 2012, ILD 2012 - Workshop Co-located with the 9th Extended Semantic Web Conference - Heraklion, Greece
    Duration: 28 May 201228 May 2012

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