DocumentCode
2922805
Title
SwSim: Discovering semantic similarity association in semantic web
Author
Shariatmadari, Shahdad ; Mamat, Ali ; Ibrahim, Hamidah ; Mustapha, Norwati
Author_Institution
University Putra Malaysia, Malaysia
Volume
2
fYear
2008
fDate
26-28 Aug. 2008
Firstpage
1
Lastpage
4
Abstract
Similarity is an important and fundamental concept in AI and many other fields. In different applications, users need to discover the relations between objects and find the level of semantic similarity between them. (I.e. find two similar papers or two similar events). In order to answer these types of complex queries, discovering semantic similarity association is one of the important steps.
Keywords
Application software; Artificial intelligence; Computer science; Helium; Information technology; Joining processes; Ontologies; Resource description framework; Semantic Web; Taxonomy;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology, 2008. ITSim 2008. International Symposium on
Conference_Location
Kuala Lumpur, Malaysia
Print_ISBN
978-1-4244-2327-9
Electronic_ISBN
978-1-4244-2328-6
Type
conf
DOI
10.1109/ITSIM.2008.4631697
Filename
4631697
Link To Document