A novel replica of fuzzy ontology for web information gathering

Information retrieval (IR) has become an active area of research in recent years to handle with the dynamic environment by establishing intelligent systems which can offer effective web content in real time to various wired or wireless devices. Evolutionary and adaptive systems (EASs) have been widely used. Web information gathering has been widely investigated and a number of approaches have been proposed to carry out web information gathering in an effluent way. In such systems ontology has been expected to have a bright future. In order to represent user profiles in personalized web information gathering several ontology models are widely used. These models are used for representing and reasoning over user profiles. To further improve the overall performance of the ontology based information retrieval system, fuzzy ontology model has been presented. This fuzzy based ontology model learns user profiles from both world knowledge base and user local instance warehouse. This ontology model is evaluated by comparing its performance against benchmark models in web information gathering.

[1]  Ellen M. Voorhees,et al.  Evaluating evaluation measure stability , 2000, SIGIR '00.

[2]  Steffen Staab,et al.  S-CREAM: Semiautomatic CREAtion of Metadata , 2002, SAAKM@ECAI.

[3]  Steffen Staab,et al.  S-CREAM: Semiautomatic CREAtion of Metadata , 2002, SAAKM@ECAI.

[4]  Enrico Motta,et al.  Knowledge Extraction by Using an Ontology Based Annotation Tool , 2001, Semannot@K-CAP 2001.

[5]  Amirah Ismail,et al.  Semantic searches for extracting similarities in a content management system , 2011, 2011 International Conference on Semantic Technology and Information Retrieval.

[6]  Sébastien Fournier,et al.  Combining agents and Wrapper Induction for information gathering on restricted web domains , 2010, 2010 Fourth International Conference on Research Challenges in Information Science (RCIS).

[7]  Oren Etzioni,et al.  A softbot-based interface to the Internet , 1994, CACM.

[8]  Sidney Addelman,et al.  trans-Dimethanolbis(1,1,1-trifluoro-5,5-dimethylhexane-2,4-dionato)zinc(II) , 2008, Acta crystallographica. Section E, Structure reports online.

[9]  Hong Wu,et al.  Research and Implementation of Chinese Patent Information Gathering System Based on Domain Ontology , 2010, 2010 International Conference on Web Information Systems and Mining.

[10]  Murugan Anandarajan,et al.  Profiling Web Usage in the Workplace: A Behavior-Based Artificial Intelligence Approach , 2002, J. Manag. Inf. Syst..