Enrichment of ontology instances using linked data and supplemental string data = 링크드 데이터와 문자열 데이터를 이용한 온톨로지 인스턴스 확장

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Various emerging applications using IoT require frequent ontology update and enrichment in ways to keep track of the frequent changes in the knowledge. Most of the previous ontology enrichment methods use string data in the web to enrich ontology. These methods could be efficient for extracting new instances, but they have difficulties extracting relations between instances. Also, there are less useful data in web documents when enriching ontology of technical domain. In order to solve these problems, we propose a hybrid approach for a new semi-automated ontology enrichment system which expands the present ontology by using both linked data extracted from other ontology of the same (or similar) application domain and string data crawled from the web. Our system enriches an ontology with new instances of concepts and relations in two phases. First, it extracts new instances and relations from a reference ontology of the same or similar domain. Second, it computes confidence value to check validity of the possible relations between the original instances and the new ones using crawled data from the web search and add them to the present ontology. Our experiment demonstrates that the proposed two-phase hybrid approach achieves improved efficiency and accuracy for enriching ontology instances.
Advisors
Hyun, Soon J.researcher현순주researcher
Description
한국과학기술원 :전산학부,
Publisher
한국과학기술원
Issue Date
2019
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 전산학부, 2019.2,[iii, 36 p. :]

Keywords

Ontology▼alinked data▼aontology matching▼ainstance enrichment▼aweb crawling; 온톨로지▼a링크드 데이터▼a온톨로지 매칭▼a인스턴스 확장▼a웹 크롤링

URI
http://hdl.handle.net/10203/267121
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=843482&flag=dissertation
Appears in Collection
CS-Theses_Master(석사논문)
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