A methodology for semantic similarity measurement among metadata based information system

Proceedings - Fourth International Conference on Software Engineering Research, Management and Applications, SERA 2006

Volumn , Issue , 2006, Pages 202-205

  Lim, Jung Eun ^a   Choi, O Hoon ^a   Na, Hong Seok ^b   Baik, Doo Kwon ^a  

^a Korea University   (South Korea)

^b Korea Digital University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

HETEROGENEOUS DOMAINS; METADATA MISMATCH PROBLEM; METADATA REGISTRY (MDR); SEMANTIC SIMILARITY MEASUREMENTS;

INFORMATION SYSTEMS; MATHEMATICAL MODELS; METADATA; PROBLEM SOLVING; SECURITY OF DATA;

SEMANTICS;

EID: 34547240321     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SERA.2006.5     Document Type: Conference Paper

References (6)

1. Environmental Protection Agency (EPA), Environmental Data Registry (EDR, USA): http://www.epa.gov/edr/
2. Registry&Repository of ebXML in KOREA(REMKO), Korea Institute for Electronic Commerce(KIEC, Korea) : http://www.remko.or.kr:8000/jsp/index.jsp
3. ISO/IEC 11179 Information technology-Metadata registries
4. Sven Abels, Liane Haak, Axel Hahn, "Identifying ontology integration methods and their applicability in the context of product classification and Knowledge integration tasks"
5. Kenneth Haase, "Context for semantic metadata", MM: International Multimedia Conference, pp.0204-0211, 2004. 10
6. M.A. Rodriguez, M.J. Egenhofer, "Determining semantic similarity among entity classes from different ontologies" , IEEE Trans on KDE, VOL.15 NO.02 pp. 0442-0456, 2003. 03