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A Landmark-Based Scalable Semantic Resource Discovery Scheme Saehoon KANG Younghee LEE Dongman LEE Hee Yong YOUN Publication IEICE TRANSACTIONS on Information and Systems Vol.E90-D No.6 pp.986-989 Publication Date: 2007/06/01 Online ISSN: 1745-1361 DOI: 10.1093/ietisy/e90-d.6.986 Print ISSN: 0916-8532 Type of Manuscript: LETTER Category: Networks Keyword: semantic resource discovery, scalability, load balancing, ontology, Full Text: PDF(709.1KB)>>
Summary: In this paper, we propose an efficient resource discovery scheme for large-scale ubiquitous computing environments, which supports scalable semantic searches and load balancing among resource discovery resolvers. Here, the resources are described based on the concepts defined in the ontological hierarchy. To semantically search the resources in a scalable manner, we propose a semantic vector space and semantic resource discovery network in which the resources are organized based on their respective semantic distances. Most importantly, landmarks are introduced for the first time to reduce the dimensionality of the vector space. Computer simulation with CAN verifies the effectiveness of the proposed scheme. | ||||||||||
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