Original scientific paper

https://doi.org/10.2498/cit.1001918

Adaptation of NLP Techniques to Cultural Heritage Research and Documentation

Guenther Goerz orcid.org/0000-0001-7769-3050 ; Department of Computer Science, University of Erlangen-Nuremberg, Erlangen, Germany
Martin Scholz ; Department of Computer Science, University of Erlangen-Nuremberg, Erlangen, Germany

Abstract

The WissKI system provides a framework for ontology based science communication and cultural heritage documentation. In many cases, the documentation consists of semi-structured data records with free text fields. Most references in the texts comprise of person and place
names, as well as time specifications. We present the WissKI tools for semantic annotation using controlled vocabularies and formal ontologies derived from CIDOC Conceptual Reference Model (CRM). Current research deals with the annotations as building blocks for event recognition. Finally, we outline how the CRM helps to build bridges between documentation in different scientific disciplines.

Keywords

WissKI; cultural heritage; Semantic Web; OWL-DL; text analysis; event recognition

Hrčak ID:

63864

URI

https://hrcak.srce.hr/63864

Publication date:

30.12.2010.

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