Analysis of the natural language legislative documents semantics with use of domain ontology

O.V. Lesko, Y.V. Rogushina

Abstract


The paper analyses the problems deal with the search in legislation documents of information that is interesting to the particular user, and the necessity of intellectualization of the search process by using of linguistic resources and ontological knowledge bases relevant to subject domains.
The structure and method of constructing of domain ontology and related with this ontology system of linguistic analysis that provides semantic markup of legislation documents by personified user terminology and the fulfillment of semantic search that supports either enhanced and modified requests to these documents.
The relationship between the terms of the ontology and the fragments of natural language text and based on this relationship normalization of the terminology of the subject domain are used.
The software implementation of information system that is based on the described in this article models and method and provides semantic search in legislation is describes.


Keywords


ontology; information retrieval; semantic markup

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References


Lukashevich N.V., Dobrov B.V. Design of linguistic ontologies for information systems in the broad subject areas // Ontology engineering. – 2015. – Vol. 5, N 1 (15). – P. 47–69. (in Russian).

Pedersen T., Patwardhan S., Michelizzi J. WordNet: Similarity – measuring the relatedness of concepts // Proc. of the Nineteenth National Conference on Artificial Intelligence (AAAI-04), 2004. – P. 1024–1025.

Rogushina J.V. Design of the ontological model of user information need in semantic search // Ontology of design. – 2014. – № 2 (12). – P. 61–82 (in Russian).

Design of methods and means of ontological-lіnguіstic analysis for natural language objects / M.G. Petrenko O.V. Palagіn, V.Y. Velichko, S.L. Kriviy. – Kiev: 2009. (Preprint, Glushkov Іnstitute of cybernetics). – 38 p. (in Ukrainian).

Lesko O., Rogushina J. Using of specialized lexical ontology for the automation forming of ontology of natural language texts // Information Models of Knowledge. ITHEA, Kiev – Sofia, 2010. – P. 93–100 (in Russian).

Dobrov B.V., Lukashevich N.V., Nevzorova O.A., Fedunov B.E. Methods and tools for automated design of applied ontology // Proceedings of RAN. Theory and control systems. – M.: 2004. – N 2. – P. 58–68 (in Russian).

Lesko O.N., Rogushina Y.V. Use of ontologies for analysis of natural language texts semantics // Problems of programming. – 2009. – N 3. – P. 59–65 (in Russian).


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