dc.citation.conferencePlace |
KO |
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dc.citation.conferencePlace |
Pohang, Korea |
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dc.citation.endPage |
1141 |
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dc.citation.startPage |
1136 |
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dc.citation.title |
한국경영과학회/대한산업공학회 2003 춘계공동학술대회 |
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dc.contributor.author |
Lee, Seung Hee |
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dc.contributor.author |
Shin, Moon Soo |
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dc.contributor.author |
Jung, Mooyoung |
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dc.date.accessioned |
2023-12-20T06:06:58Z |
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dc.date.available |
2023-12-20T06:06:58Z |
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dc.date.created |
2014-12-23 |
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dc.date.issued |
2003-05-16 |
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dc.description.abstract |
Due to the lack of digitally usable standards, it has been known to be difficult to handle the biological data. For example, the name of genes and proteins changes over time or has several synonyms indicating different entities. To cope with these problems, several communities, including the Gene Ontology Consortium and PubGene are making their efforts to move science toward the semantic web vision. Although some progress has been made, its expressivity is not sufficient for full-fledged ontological modeling and reasoning. This paper suggests a methodology for representing and extracting biological knowledge by using Web Ontology Language (OWL) as an extension of Resource Description Framework Schema (RDFS). Some benefits of our approach are: (1) to ensure extended sharing of biological meta data on the Web, and (2) to enrich additional expressivity and the semantics of RDFS+OWL. |
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dc.identifier.bibliographicCitation |
한국경영과학회/대한산업공학회 2003 춘계공동학술대회, pp.1136 - 1141 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/52201 |
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dc.publisher |
한국경영과학회/대한산업공학회 |
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dc.title.alternative |
Knowledge Representation and Extraction of Biological Data using RDFS + OWL |
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dc.title |
RDFS + OWL을 이용한 생물학적 데이터의 지식 표현과 추출 |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2003-05-16 |
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