Title :
SwSim: Discovering semantic similarity association in semantic web
Author :
Shariatmadari, Shahdad ; Mamat, Ali ; Ibrahim, Hamidah ; Mustapha, Norwati
Author_Institution :
University Putra Malaysia, Malaysia
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;
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
DOI :
10.1109/ITSIM.2008.4631697
