A Landmark-Based Scalable Semantic Resource Discovery Scheme

Authors:
Saehoon Kang;Younghee Lee;Dongman Lee;Hee Yong Youn
Affiliations:
-;-;-;-
Venue:
IEICE - Transactions on Information and Systems
Year:
2007

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Abstract

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.