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Can I read Ontology-driven knowledge organization — enhancing UDDI Web services in Korea using topic maps on EtoBox?

Ontology-driven knowledge organization — enhancing UDDI Web services in Korea using topic maps by Sam Gyun Oh; Eun Chul Lee; Oknam Park; Myongho Yi is a Computer Science article available to read on EtoBox.

What is Ontology-driven knowledge organization — enhancing UDDI Web services in Korea using topic maps about?

## Abstract Effective and efficient publishing and searching for Universal Description, Discovery and Integration (UDDI) Web services is important for the success of Web services. Traditional approaches such as index, thesaurus, and classification have historically dominated information representation and organization; however, they have some limitations. Ontology‐driven knowledge organization [An ontology‐driven knowledge organization approach] is considered one of keys to the next generation of knowledge management applications because ontology provides structure and meaning to data. This research examines how ontology‐driven knowledge organization could provide benefits to current UDDI Web services.

Who reads Ontology-driven knowledge organization — enhancing UDDI Web services in Korea using topic maps?

It is typically read by researchers, students, and practitioners in Computer Science.

Author
Sam Gyun Oh; Eun Chul Lee; Oknam Park; Myongho Yi
Publisher
Wiley (John Wiley & Sons); Wiley-Blackwell; Wiley (ISSN 0044-7870)
Published
2005
Language
EN
ISBN
9781450420112
Field
Computer Science (Physical Sciences)

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