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A knowledge‐based approach to Information Extraction for semantic interoperability in the archaeology domain

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  • Andreas Vlachidis
  • Douglas Tudhope

Abstract

The article presents a method for automatic semantic indexing of archaeological grey‐literature reports using empirical (rule‐based) Information Extraction techniques in combination with domain‐specific knowledge organization systems. The semantic annotation system (OPTIMA) performs the tasks of Named Entity Recognition, Relation Extraction, Negation Detection, and Word‐Sense Disambiguation using hand‐crafted rules and terminological resources for associating contextual abstractions with classes of the standard ontology CIDOC Conceptual Reference Model (CRM) for cultural heritage and its archaeological extension, CRM‐EH. Relation Extraction (RE) performance benefits from a syntactic‐based definition of RE patterns derived from domain oriented corpus analysis. The evaluation also shows clear benefit in the use of assistive natural language processing (NLP) modules relating to Word‐Sense Disambiguation, Negation Detection, and Noun Phrase Validation, together with controlled thesaurus expansion. The semantic indexing results demonstrate the capacity of rule‐based Information Extraction techniques to deliver interoperable semantic abstractions (semantic annotations) with respect to the CIDOC CRM and archaeological thesauri. Major contributions include recognition of relevant entities using shallow parsing NLP techniques driven by a complimentary use of ontological and terminological domain resources and empirical derivation of context‐driven RE rules for the recognition of semantic relationships from phrases of unstructured text.

Suggested Citation

  • Andreas Vlachidis & Douglas Tudhope, 2016. "A knowledge‐based approach to Information Extraction for semantic interoperability in the archaeology domain," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1138-1152, May.
    • Handle: RePEc:bla:jinfst:v:67:y:2016:i:5:p:1138-1152
    DOI: 10.1002/asi.23485
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    References listed on IDEAS

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    1. Marcia J. Bates, 1986. "Subject access in online catalogs: A design model," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 37(6), pages 357-376, November.
    2. Koraljka Golub & Douglas Tudhope & Marcia Lei Zeng & Maja Žumer, 2014. "Terminology registries for knowledge organization systems: Functionality, use, and attributes," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(9), pages 1901-1916, September.
    3. Gondy Leroy & Hsinchun Chen, 2005. "Genescene: An ontology‐enhanced integration of linguistic and co‐occurrence based relations in biomedical texts," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(5), pages 457-468, March.
    4. Marcia Lei Zeng & Lois Mai Chan, 2004. "Trends and issues in establishing interoperability among knowledge organization systems," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(5), pages 377-395, March.
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    Cited by:

    1. Wang, Zhenhua & Ren, Ming & Gao, Dong & Li, Zhuang, 2023. "A Zipf's law-based text generation approach for addressing imbalance in entity extraction," Journal of Informetrics, Elsevier, vol. 17(4).

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