Version 1
: Received: 31 January 2018 / Approved: 1 February 2018 / Online: 1 February 2018 (03:08:47 CET)
How to cite:
Yarushkina, N.; Filippov, A.; Moshkin, V.; Egorov, Y. Building a Domain Ontology in the Process of Linguistic Analysis of Text Resources. Preprints2018, 2018020001. https://doi.org/10.20944/preprints201802.0001.v1
Yarushkina, N.; Filippov, A.; Moshkin, V.; Egorov, Y. Building a Domain Ontology in the Process of Linguistic Analysis of Text Resources. Preprints 2018, 2018020001. https://doi.org/10.20944/preprints201802.0001.v1
Yarushkina, N.; Filippov, A.; Moshkin, V.; Egorov, Y. Building a Domain Ontology in the Process of Linguistic Analysis of Text Resources. Preprints2018, 2018020001. https://doi.org/10.20944/preprints201802.0001.v1
APA Style
Yarushkina, N., Filippov, A., Moshkin, V., & Egorov, Y. (2018). Building a Domain Ontology in the Process of Linguistic Analysis of Text Resources. Preprints. https://doi.org/10.20944/preprints201802.0001.v1
Chicago/Turabian Style
Yarushkina, N., Vadim Moshkin and Yuri Egorov. 2018 "Building a Domain Ontology in the Process of Linguistic Analysis of Text Resources" Preprints. https://doi.org/10.20944/preprints201802.0001.v1
Abstract
Ontology is a formalized representation of the problem area (PrA). Representation of the PrA in the form of an domain ontology is often used in the process of development of intelligent software systems and used as a knowledge base. The process of building an ontology is complex and requires an expert in the PrA. A large number of researchers are working to solve this problem. The basis of our approach is the use of a pipeline of different linguistic methods of text analysis. The set of rules developed by us is used to build an ontology based on the content analysis of a text resource. This article describes the method of building a domain ontology based on the linguistic analysis of content of text resources, presents an example of the proposed approach, and also presents the architecture of our pipeline.
Keywords
domain ontology; semantic analysis; linguistics, text resources
Subject
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
