Open Information Extraction as Additional Source for Kazakh Ontology Generation

Author:

Khairova NinaORCID,Petrasova SvitlanaORCID,Mamyrbayev OrkenORCID,Mukhsina KuralayORCID

Publisher

Springer International Publishing

Reference24 articles.

1. Sint, R., Schaffert, S., Stroka, S., Ferstl, R.: Combining unstructured, fully structured and semi-structured information in semantic wikis. In: Proceedings of the 4th Semantic Wiki WorkShop (SemWiki) at the 6th European Semantic Web Conference, ESWC (2009)

2. Crestan, E., Pantel, P.: Web-scale knowledge extraction from semi-structured tables. In: WWW 2010 Proceedings of the 19th International Conference on World Wide Web, pp. 1081–1082 (2010)

3. Wong, Y.W., Widdows, D., Lokovic, T., Nigam, K.: Scalable attribute-value extraction from semi-structured text. In: 2009 IEEE International Conference on Data Mining Workshops, pp. 302–307 (2009)

4. Phillips, W., Riloff, E.: Exploiting strong syntactic heuristics and co-training to learn semantic lexicons. In: Proceedings of the conference on Empirical Methods in Natural Language Processing (EMNLP) (2002)

5. Jones, R., Ghani, R., Mitchell, T., Riloff, E.: Active learning with multiple view feature sets. In: ECML 2003 Workshop on Adaptive Text Extraction and Mining (2003)

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1. Tuberculosis Ontology Generation and Enrichment Based Text Mining;2020 International Conference on Information Technology Systems and Innovation (ICITSI);2020-10-19

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