Automatic Ontology Construction using Conceptualization and Semantic Roles
Amita Arora,
Manjeet Singh and
Naresh Chauhan
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Amita Arora: YMCA University of Science and Technology, Department of Computer Engineering, Faridabad, India
Manjeet Singh: YMCA University of Science and Technology, Department of Computer Engineering, Faridabad, India
Naresh Chauhan: YMCA University of Science and Technology, Department of Computer Engineering, Faridabad, India
International Journal of Information Retrieval Research (IJIRR), 2017, vol. 7, issue 3, 62-80
Abstract:
Ontologies are constructed to extract meaningful information from data sources. Constructing ontologies aim at capturing domain knowledge that gives a commonly agreed understanding of a domain, which may be reused, shared, among applications and groups. To ease the process of building ontologies automatically, this manuscript per the authors proposes a new approach which extracts semantic roles of nouns in the sentential structure along with usual concepts and their relationships. The extracted information about different roles, concepts and relationships among the concepts from different documents are then merged to construct an ontology for whole document. The proposed approach is implemented and the performance of the proposed technique is evaluated. Experiments show the ontology thus created captures most of the information given in the document.
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jirr00:v:7:y:2017:i:3:p:62-80
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