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Edinburgh Associative Thesaurus as RDF and DBpedia Mapping

  • Jörn HeesEmail author
  • Rouven Bauer
  • Joachim Folz
  • Damian Borth
  • Andreas Dengel
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9989)

Abstract

Associations, which are one of the key ingredients of human intelligence and thinking, are not easily accessible to the Semantic Web community. High quality RDF datasets of this kind are missing. In this paper we generate such a dataset by transforming 788 K free-text associations of the Edinburgh Associative Thesaurus (EAT) into RDF. Furthermore, we provide a verified mapping of strong textual associations from EAT to DBpedia Entities with the help of a semi-automatic mapping approach. Both generated datasets are made publicly available and can be used as a benchmark for cross-type link prediction and pattern learning.

References

  1. 1.
    Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., Becker, C., Cyganiak, R., Hellmann, S.: DBpedia - a crystallization point for the web of data. Web Semant. Sci. Serv. Agents World Wide Web 7(3), 154–165 (2009)CrossRefGoogle Scholar
  2. 2.
    Bobić, T., Waitelonis, J., Sack, H.: FRanCo - a ground truth corpus for fact ranking evaluation. In: SumPre 2015 at ESWC 2015, pp. 1–12 (2015)Google Scholar
  3. 3.
    Fellbaum, C. (ed.): WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)zbMATHGoogle Scholar
  4. 4.
    Gerrig, R.J., Zimbardo, P.G.: Psychology and Life, 19th edn. Allyn & Bacon, Pearson, Boston (2010)Google Scholar
  5. 5.
    Hees, J., Khamis, M., Biedert, R., Abdennadher, S., Dengel, A.: Collecting links between entities ranked by human association strengths. In: Cimiano, P., Corcho, O., Presutti, V., Hollink, L., Rudolph, S. (eds.) ESWC 2013. LNCS, vol. 7882, pp. 517–531. Springer, Heidelberg (2013).  https://doi.org/10.1007/978-3-642-38288-8_35 CrossRefGoogle Scholar
  6. 6.
    Hees, J., Roth-Berghofer, T., Biedert, R., Adrian, B., Dengel, A.: BetterRelations: using a game to rate linked data triples. In: Bach, J., Edelkamp, S. (eds.) KI 2011. LNCS (LNAI), vol. 7006, pp. 134–138. Springer, Heidelberg (2011).  https://doi.org/10.1007/978-3-642-24455-1_12 CrossRefGoogle Scholar
  7. 7.
    Hees, J., Roth-Berghofer, T., Dengel, A.: Linked data games: simulating human association with linked data. In: LWA 2010, Kassel, Germany, pp. 255–260 (2010)Google Scholar
  8. 8.
    Kiss, G.R., Armstrong, C., Milroy, R., Piper, J.: An associative thesaurus of English and its computer analysis. In: The Computer and Literary Studies, pp. 153–165. Edinburgh University Press, Edinburgh (1973)Google Scholar
  9. 9.
    Kny, E., Kölle, S., Töpper, G., Wittmers, E.: WhoKnows? (2010)Google Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Jörn Hees
    • 1
    • 2
    Email author
  • Rouven Bauer
    • 1
    • 2
  • Joachim Folz
    • 1
    • 2
  • Damian Borth
    • 1
    • 2
  • Andreas Dengel
    • 1
    • 2
  1. 1.Computer Science DepartmentUniversity of KaiserslauternKaiserslauternGermany
  2. 2.Knowledge Management DepartmentDFKI GmbHKaiserslauternGermany

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