An Application of Meta Search Agent System Based on Semantized Tags for Enhanced Web Searching

: Web searching techniques have been investigated and implemented in many aspects. Particularly, in case of personalization, more important issue is how to manipulate the results retrieved from search engines for better user understandability and satisfaction. Such manipulation processes are i) ranking the results in accordance with user relevance, and ii) exchanging the results between users who have similar tastes. Thus, our work has been mainly focusing on relevance-based ranking mechanism as well as sharing schemes for the results retrieved from heterogeneous web information sources. In this paper, we propose a hybrid model for meta search agent systems with three main functionalities, i.e., i) URL filtering method for preprocessing, ii) tag-based information conceptualization scheme for ranking, and iii) ontology-based standardization scheme for sharing. It means that the proposed meta search agent model exploits semantized tags to formalize and share heterogeneous information obt...

• Type: Journal
• Year: 2008
• Where: JUCS
• Authors: Chonggun Kim, JaeYoun Jung, Hyeon-Cheol Zin, Jason J. Jung
• Keywords: JUCS 2008, Relevance-based Ranking Mechanism, Search Engines, Tag-based Information