Automatic Acquisition of Domain Concepts for Ontology Learning using Affinity Propagation온톨로지 학습을 위한 Affinity Propagation 기반의 도메인 컨셉 자동 획득 기법에 관한 연구
- Other Titles
- 온톨로지 학습을 위한 Affinity Propagation 기반의 도메인 컨셉 자동 획득 기법에 관한 연구
- Authors
- Qasim, Iqbal; Jeong, Jin woo; Lee, Dong Ho
- Issue Date
- Jun-2011
- Publisher
- 한국정보과학회
- Citation
- 한국정보과학회 2011 한국컴퓨터종합학술대회 논문집(C), v.38, no.1, pp.168 - 171
- Indexed
- OTHER
- Journal Title
- 한국정보과학회 2011 한국컴퓨터종합학술대회 논문집(C)
- Volume
- 38
- Number
- 1
- Start Page
- 168
- End Page
- 171
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/37391
- Abstract
- One important issue in semantic web is identification and selection of domain concepts for domain ontology learning when several hundreds or even thousands of terms are extracted and available from relevant text documents shared among the members of a domain. We present a novel domain concept acquisition and selection approach for ontology learning that uses affinity propagation algorithm, which takes as input semantic and structural similarity between pairs of extracted terms called data points. Real-valued messages are passed between data points (terms) until high quality set of exemplars (concepts) and cluster iteratively emerges. All exemplars will be considered as domain concepts for learning domain ontologies. Our empirical results show that our approach achieves high precision and recall in selection of domain concepts using less number of iterations.
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