Hybrid Acquisition of Temporal Scopes for RDF Data

  • Anisa Rula
  • Matteo Palmonari
  • Axel-Cyrille Ngonga Ngomo
  • Daniel Gerber
  • Jens Lehmann
  • Lorenz Bühmann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8465)

Abstract

Information on the temporal interval of validity for facts described by RDF triples plays an important role in a large number of applications. Yet, most of the knowledge bases available on the Web of Data do not provide such information in an explicit manner. In this paper, we present a generic approach which addresses this drawback by inserting temporal information into knowledge bases. Our approach combines two types of information to associate RDF triples with time intervals. First, it relies on temporal information gathered from the document Web by an extension of the fact validation framework DeFacto. Second, it harnesses the time information contained in knowledge bases. This knowledge is combined within a three-step approach which comprises the steps matching, selection and merging. We evaluate our approach against a corpus of facts gathered from Yago2 by using DBpedia and Freebase as input and different parameter settings for the underlying algorithms. Our results suggest that we can detect temporal information for facts from DBpedia with an F-measure of up to 70%.

Keywords

#eswc2014Rula Temporal Information Extraction Temporal Semantic Web Temporal Scoping Fact Checking 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Anisa Rula
    • 1
  • Matteo Palmonari
    • 1
  • Axel-Cyrille Ngonga Ngomo
    • 2
  • Daniel Gerber
    • 2
  • Jens Lehmann
    • 2
  • Lorenz Bühmann
    • 2
  1. 1.University of Milano-BicoccaItaly
  2. 2.Universität LeipzigInstitut für Informatik, AKSWGermany

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