Development of distributed intelligent systems on base of ontological analysis and semantic wiki technologies

Автор: Rogushina J.V.

Журнал: Онтология проектирования @ontology-of-designing

Рубрика: Инжиниринг онтологий

Статья в выпуске: 4 (26) т.7, 2017 года.

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The necessity of automated knowledge acquisition by intelligent information systems from the distributed Web environment is considered. The feasibility of using ontological analysis to represent such knowledge is assessed. The necessity of replenishment of this knowledge from more dynamic information resources that provide automated processing of information (such as semantic Wiki resources) is grounded. Such information processing requires the development of formal model and methods for mapping of Wiki elements to ontology elements. The expressive possibilities of the Semantic MediaWiki technological environment that can be used for semantic marking of natural language and multimedia information are analyzed. The method of semantic markup of Wiki-resources by elements of the ontological model of the domain is proposed. This markup is based on the establishment of correspondences between the elements of the formal model of such ontology (classes, individuals, object and data properties) and the elements of the Semantic MediaWiki (categories, semantic properties, references). Method for improving the domain ontology is developed on the basis of a Wiki resource semantically marked by elements of this ontology. Approbation of the developed models and methods is resulted on example of development of the electronic version of the Great Ukrainian Encyclopedia on the Semantic MediaWiki platform. The novelty of the work lies in the way of comparing the elements of the ontological model of the domain with the elements of the semantic Wiki-resource, and also in the method of improving the ontology of the domain that is used for semantic markup of the Wiki resource, based on the changes and additions that are made to this resource.

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Wiki-resource, ontology, information object, semantic markup

Короткий адрес: https://sciup.org/170178555

IDR: 170178555   |   DOI: 10.18287/2223-9537-2017-7-4-453-472

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