V.S. Moshkin – Assistant, Ulyanovsk State Technical University

E-mail: postforvadim@yandex.ru

A.A. Filippov – Ph. D. (Eng.), Associate Professor, Department «Information Systems», Ulyanovsk State Technical University E-mail: al.filippov@ulstu.ru

Yu.P. Egorov – Dr. Sc. (Eng.), Professor, Main Research Scientist, FRPC OJSC «RPA «Mars» (Ulyanovsk) E-mail: yupe@mail.ru

This article describes the method of extension of domain ontology based on the content of semi-structured resources. The content of the wiki-resource pages is used as an example of unstructured text resources. A wiki resource is a website whose structure and content users can modify themselves using a special markup language and built-in tools. Wiki-resources allow users to simply create a description of the problem area. The use of wiki resources does not require special skills in the field of knowledge engineering. The article describes the application of the developed algorithm in assessing the quality of a technical specification for the automated production line of the IL-76MD-90A aircraft assembly at JSC «Aviastar-SP».

1. Astrakhantsev N.A., Fedorenko D.G., Turdakov D.Y. Automatic Enrichment of Informal Ontology by Analyzing a Domain‐Specific Text Collection // Materialy' ezhegodnoj Mezhdunar. konf. «Dialog». 2014. № 13 (20). S. 29−42.
2. Bizer C., Lehmann J., Kobilarov G., Auer S., Becker C., Cyganiak R., Hellmann S. DBpedia – A Crystallization Point for the Web of Data // Journal of Web Semantics: Science, Services and Agents on the World Wide Web. 2009. № 7. P. 154−165.
3. Cui G.Y., Lu Q., Li W.J., Chen Y.R. Corpus Exploitation from Wikipedia for Ontology Construction // Proceedings of the Sixth International Language Resources and Evaluation (LREC 2008). Marrakech. 2008. P. 2125−2132.
4. McGuinness D.L., Fikes R., Rice J.,  Wilder S. An environment for merging and testing large ontologies // KR. 2000. P. 483−493.
5. Hepp M., Bachlechner D., Siorpaes K. Harvesting Wiki Consensus – Using Wikipedia Entries as Ontology Elements // Proceedings of the First Workshop on Semantic Wikis – From Wiki to Semantics, Annual European Semantic Web Conference (ESWC 2006). 2006. P. 124−138.
6. Noy N.F., Musen M.A. Algorithm and Tool for Automated Ontology Merging and Alignment // Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence. 2000. P. 450−455.
7. Pottinger R., Bernstein P.A. Schema merging and mapping creation for relational sources // EDBT. 2008. P. 73−84.
8. Raunich S., Rahm E. ATOM: Automatic Target-driven Ontology Merging // Abteilung Datenbanken der Universität Leipzig. URL = http://dbs.uni-leipzig.de/file/ATOM-ICDE11_ demo_final.pdf (data obrashheniya: 22.11.2016).
9. Raunich S., Rahm E.    Target-driven        Merging of          Taxonomies          //          Cornell    University            Library.   2010. URL = https://arxiv.org/ftp/arxiv/papers/1012/1012.4855.pdf (data obrashheniya: 18.11.2016).
10. Suchanek F.M., Kasneci G., Weikum G. YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia // Proceedings of the 16th International Conference on World Wide Web (Banff, Alberta. Canada. May 8−12. 2007). WWW '07. NY: ACM Press. 2007. P. 697−706.
11. Suchanek F.M., Kasneci G., Weikum G. YAGO: A Large Ontology from Wikipedia and WordNet // Web Semantics: Science, Services and Agents on the World Wide Web. September 2008. V. 6. № 3. P. 203−217.
12. Avtomaticheskaya obrabotka tekstov. URL = http://aot.ru/ (data obrashheniya: 22.11.2016).
13. Andreev I.A., Bashaev V.A., Klejn V.V., Moshkin V.S., Yarushkina N.G. Oczenka terminologichnosti leksicheskix edinicz na osnove ontologii predmetnoj oblasti // Materialy' V Mezhdunar. nauchn.texn. konf. «Otkry'ty'e semanticheskie texnologii proektirovaniya intellektual'ny'x sistem (OSTIS-2015)» Minsk. 19−21 fevralya 2015 g. (Otv. red. V.V. Golenkov). Minsk: BGUIR. 2015. S. 395−400.
14. Boyarskij K.K., Kanevskij E.A. Semantiko-sintaksicheskij parser SemSin // Nauchno-texnich. vestnik informaczionny'x texnologij, mexaniki i optiki. № 5. 2015. S. 869−876.
15. Konstantinova N.S., Mitrofanova O.A. Ontologii kak sistemy' xraneniya znanij // Portal «Informaczionno-kommunikaczionny'e texnologii v obrazovanii». URL = http://www.ict.edu.ru/ft/005706/68352e2-st08.pdf (21.11.2016).
16. Artemov M.A., Vladimirov A.N., Seleznev K.E. Obzor sistem analiza estestvennogo teksta na russkom yazy'ke // Vestnik Voronezhskogo gosudarstvennogo universiteta. URL = http://www.vestnik.vsu.ru/pdf/analiz/2013/02/2013-02-31.pdf (22.11.2016).
17. Moshkin V.S., Pirogov A.N., Timina I.A., Shishkin V.V., Yarushkina N.G. Intellektual'ny'j analiz proektny'x i terminologicheskix metrik v upravlenii proektami // Avtomatizacziya proczessov upravleniya. 2016. № 4 (46). S. 84−91.
18. Moshkin V.S., Yarushkina N.G. Logicheskij vy'vod na osnove nechetkix ontologij // Sb. nauchny'x trudov VIII-j Mezhdunar. nauchnoprakticheskoj konf. «Integrirovanny'e modeli i myagkie vy'chisleniya v iskusstvennom intellekte». Kolomna. 18−20 maya 2015 g. V 2-x tomax. M.: Fizmatlit. 2015. T1. S. 259−267.
19. Sokirko A.V. Semanticheskie slovari v avtomaticheskoj obrabotke. Dis. … kand. texn. nauk (05.13.17). Gosudarstvenny'j komitet RF po vy'sshemu obrazovaniyu Rossijskij gosudarstvenny'j gumanitarny'j universitet. M.: 2001. 120 s.
20. Subxangulov R.A. Ontologicheskij poisk texnicheskix dokumentov na osnove modeli intellektual'nogo agenta // Avtomatizacziya proczessov upravleniya. 2014. № 4 (38). S. 85−91.
21. Shestakov V.K. Razrabotka i soprovozhdenie informaczionny'x sistem, baziruyushhixsya na ontologii i Wiki-texnologii // Tr. 13-j Vseros. nauchn. konf. «RCDL–2011». Voronezh. 2011. S. 299−306.