Semi-automatic construction of Vietnamese ontology from text documents using pattern based learning.

Ontology is an effective formal representation of knowledge used commonly in artificial intelligent, semantic web, software engineering, and information retrieval. Typically, ontologies are constructed by domain experts using domain knowledge and relevant documents. However, manual acquisition of on...

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Đã lưu trong:
Chi tiết về thư mục
Tác giả chính: Nguyễn Bảo Ân
Tác giả khác: Prof. Don-Lin Yang (Người hướng dẫn Khoa học)
Ngôn ngữ:eng
Được phát hành: Trường ĐH Phùng Giáp 2023
Truy cập trực tuyến:https://opac.tvu.edu.vn/pages/opac/wpid-detailbib-id-43005.html
Các nhãn: Thêm thẻ
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Thư viện lưu trữ: Trung tâm Học liệu – Phát triển Dạy và Học, Trường Đại học Trà Vinh
Miêu tả
Tóm tắt:Ontology is an effective formal representation of knowledge used commonly in artificial intelligent, semantic web, software engineering, and information retrieval. Typically, ontologies are constructed by domain experts using domain knowledge and relevant documents. However, manual acquisition of ontologies from domain documents consumes large costs. In this research we present a support system for Vietnamese ontology construction using pattern-based mechanisms to discover Vietnamese concepts and conceptual relations from Vietnamese text documents. As there are very few existing taxonomies constructed in Vietnamese, we use non-taxonomy based approach. The combination of association rule mining and lexical pattern based learning was used as our main method of concept extraction and conceptual relation detection. We employ GATE (General Architecture for Text Engineering) as an efficient tool for lexical pattern based extraction by taking advantages of its transducer and JAPE grammar. A Vietnamese smartphone ontology is built to demonstrate the result of our proposed system.