Automatic Method Of Domain Ontology Construction based on Characteristics of Corpora POS-Analysis Olena Orobinska To cite this version: Olena Orobinska. Automatic Method Of Domain Ontology Construction based on Characteristics of Corpora POS-Analysis. XV Russian conference Internet and Modern Society, Oct 2012, Sent-Petersburg, Russia. pp.209-212. <hal-00987456> HAL Id: hal-00987456 https://hal.archives-ouvertes.fr/hal-00987456 Submitted on 6 May 2014 HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destin´ee au d´epˆot et `a la diffusion de documents scientifiques de niveau recherche, publi´es ou non, ´emanant des ´etablissements d’enseignement et de recherche fran¸cais ou ´etrangers, des laboratoires publics ou priv´es. . . -2 . , [email protected] А , , , , , « » ( , ) , , , . . 2000– [2]. . . , , [5]. . , , , , , ( ) , . . , . , 2005 . [6], BuТtОlККr LКвОr CКФО. В Д2],[3] , 2011 . “sаООt tools” . . , , , , , . , . , - , ( ( ) , ( ), , [4]. XV В - , , 2012. » (IMS-2012), , : ) ( ). « , . ( 90% [7]). , . M. , 1. C, R, A,T Hearst [8]. . ( , . . , ) « ( 2. » ) 3. [9]. . 4. . . , , , 5. 6. , . : , 2) , , ), . . ) , . . . 1) ( , ( : , – ( – 2, 3, ), . , ), rootC; σR:RC+ (rОlКtion signature); . ) : ) . . 1), 3). , ) » (MRD – machine , , , , - , « » « , , ( ). », - - . ( , ) . [8] . [6]: : « ( , Ο: (C, c, R,σ R , R , Α, σ Α ,T ) , , ). rОКНКЛlО НТМtТonКrв), ( АorНNОt RussNОt, RuNОt .) ≤М . ( [6]) – ( ( , ( ( ; 3) , ; (sОmТ-upper , r1 ≤R r2 =еσR(r1)е =еσR(r2)е Т(σR(r1)) ≤М Т(σR(r2)) ≤ Т ≤ =еσR(r1)е; σA:AC×T (КttrТЛutО sТРnКturО); (НКtКtвpОs) T, , . . , , ; 2) , , , ( ≤R on R, – 1) ( 3) ≤М – lКttТМО) , , , . . ( ( ). ) 1. : 1. ( , . .). , , 2. . . 3. « . , , ); , д + д ж». 4. , : { , . . , . 4. + ж; . , 3. } ( c , 2. . , , . ( [10]), . ( Э 2000 .): « . ( ) « », . . . . , , , , , , 2; « «… »– «… : .1. » « » « ». , : , .» , « , . . - « « , » »; 4; »; » .1: . ( , 30 . , ( . « , ). [3] » [4] ) , . [5] , . АorНNОt ( RussNОt), . Innovation OWL , ( : ) ( ), [6] RuNОt, , [7] OАL . [8] . [9] , Adaptive Infrastructure http://www.mkbergman.com/991/the-state-oftooling-for-semantic-technologies. Simperl E., Mochol M. Achieving Maturity: the State of Practice in Ontology Engineering in 2009. // In International Journal of Computer Science and Applications, Technomathematics Research Foundation. 2010. Vol. 7 No. 1, P. 45– 65. De Nicola, A., & all. A software engineering approach to ontology building. // In Information Systems 34. 2009. P. 258–275. Makki J., Alquier A.-M., Prince V. Semi Automatic Ontology Instantiation in the domain of Risk Management. // In IFIP, Advances in Information and Communication Technology. 2008. Volume 288. P. 254-265. Buitelaar P., Cimiano P., and Magnini B. Ontology Learning from Texts : An Overview./In Ontology Learning from Text: Methods, Evaluation and Applications. / P. Buitelaar, P. Cimmiano, and B. Magnini, Eds. IOS Press. 2008. Zhou, L. Ontology Learning: State of the Art and Open Issues. // Information Technology and Management. 2007. 8(3), P.241-252. Hearst, M.A., Automatic Acquisition of Hyponyms from Large Text Corpora. //In: Proceedings of the 14th International Conference on Computational Linguistics. 1992. P 539-545. . . : . [10] . //URL , 2011. // http://aot.ru/demo/morph.html URL: . ( ) . , Automatic Method Of Domain Ontology Construction based on Characteristics of Corpora POS-Analysis O. Oroinska , , . . , ( , ). [1] Charlet, J., at al. Apport des outils de TAL a la МonstruМtТon Н’ontoloРТОs : proposТtТons Кu sОТn de la plateforme DaFOE/ Charlet, J., at al dans TALN 2009, Senlis, 24–26 juin 2009. [2] AI3’s InКuРurКl StКtО oП ToolТnР Пor SОmКntТМ Technologies/ Adaptive Information Adaptive It is now widely recognized that ontologies, are one of the fundamental cornerstones of knowledge-based systems. What is lacking, however, is a currently accepted strategy of how to build ontology; what kinds of the resources and techniques are indispensables to optimize the expenses and the time on the one hand and the amplitude, the completeness, the robustness of en ontology on the other hand. The paper offers a semi-automatic ontology construction method from text corpora in the domain of radiological protection. This method is composed from next steps: 1) text annotation with part-of-speech tags; 2) revelation of the significant linguistic structures and forming the templates; 3) search of text fragments corresponding to these templates; 4) basic ontology instantiation process.
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