A Landmark-Based Scalable Semantic Resource Discovery Scheme(Networks)

スポンサーリンク

概要

• 論文の詳細を見る

• 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.

• 2007-06-01

著者

• Youn Hee

  Department Of Computer Engineering Sungkyunkwan University

• Lee Younghee

  School Of Engineering Information And Communications University

• KANG Saehoon

  School of Engineering, Information and Communications University

• LEE Dongman

  School of Engineering, Information and Communications University

• Kang Saehoon

  School Of Engineering Information And Communications University

• Lee Dongman

  School Of Engineering Information And Communications University

関連論文

• A Landmark-Based Scalable Semantic Resource Discovery Scheme(Networks)
• Enhancing Scalability of Tree-Based Reliable Multicast by Approximating Logical Tree to Multicast Routing Tree

スポンサーリンク