Building associated semantic overlay for discovering associated services

Authors:
Shunxiang Zhang;Xiangfeng Luo;Wensheng Zhang;Jie Yu;Weimin Xu
Affiliations:
School of Computer Engineering and Science, Shanghai University and High Performance Computing Center, Shanghai University, Shanghai, China;School of Computer Engineering and Science, Shanghai University and High Performance Computing Center, Shanghai University, Shanghai, China;Lab. of Complex Systems and Intelligence Science, Institute of Automation, Beijing, China;School of Computer Engineering and Science, Shanghai University and High Performance Computing Center, Shanghai University, Shanghai, China;School of Computer Engineering and Science, Shanghai University and High Performance Computing Center, Shanghai University, Shanghai, China
Venue:
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Year:
2010

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Abstract

Due to the lack of associated links among web resources, it is hard for knowledge-based system to provide flexible associated services for users. To solve this problem, Associated Semantic Overlay (ASO) is proposed to semantically organize the loose web domain resources and provide support for associated services. First, using the Element Fuzzy Cognitive Maps (E-FCM) as the semantic representation of web resources, mapping from keywords to web resources is built to make ASO appropriate for the discovery of associated services. Secondly, based on domain keywords and domain association rules, an efficient computing approach of associated links among web resources is presented to automatically build the ASO, which can assist the discovery of associated services. Experimental results demonstrate that ASO can efficiently provide associated services for users.