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Journal of computing and information technology, Vol. 18 No. 4, 2010.

Izvorni znanstveni članak
https://doi.org/10.2498/cit.1001918

Adaptation of NLP Techniques to Cultural Heritage Research and Documentation

Guenther Goerz   ORCID icon 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

Puni tekst: engleski, pdf (514 KB) str. 317-324 preuzimanja: 516* citiraj
APA 6th Edition
Goerz, G. i Scholz, M. (2010). Adaptation of NLP Techniques to Cultural Heritage Research and Documentation. Journal of computing and information technology, 18 (4), 317-324. https://doi.org/10.2498/cit.1001918
MLA 8th Edition
Goerz, Guenther i Martin Scholz. "Adaptation of NLP Techniques to Cultural Heritage Research and Documentation." Journal of computing and information technology, vol. 18, br. 4, 2010, str. 317-324. https://doi.org/10.2498/cit.1001918. Citirano 25.06.2019.
Chicago 17th Edition
Goerz, Guenther i Martin Scholz. "Adaptation of NLP Techniques to Cultural Heritage Research and Documentation." Journal of computing and information technology 18, br. 4 (2010): 317-324. https://doi.org/10.2498/cit.1001918
Harvard
Goerz, G., i Scholz, M. (2010). 'Adaptation of NLP Techniques to Cultural Heritage Research and Documentation', Journal of computing and information technology, 18(4), str. 317-324. doi: https://doi.org/10.2498/cit.1001918
Vancouver
Goerz G, Scholz M. Adaptation of NLP Techniques to Cultural Heritage Research and Documentation. Journal of computing and information technology [Internet]. 2010 [pristupljeno 25.06.2019.];18(4):317-324. doi: https://doi.org/10.2498/cit.1001918
IEEE
G. Goerz i M. Scholz, "Adaptation of NLP Techniques to Cultural Heritage Research and Documentation", Journal of computing and information technology, vol.18, br. 4, str. 317-324, 2010. [Online]. doi: https://doi.org/10.2498/cit.1001918

Sažetak
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.

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

Hrčak ID: 63864

URI
https://hrcak.srce.hr/63864

Posjeta: 666 *