Design and Development of an Advancing Web Information Stockpiling for Engraved Ontology in User Contours
Keywords:Ontology, User Contours, Library of Congress Subject Headings (LCSH), RT, Ontology Learning Environment (OLE), Tree Model
As a version for know-how description and formalization, ontologies are extensively used to represent person contours in Adapted net information gathering. However, whilst representing person contours, many fashions have utilized best expertise from either a Biosphere wide know-how base or a person nearby records. In this article, a customized ontology style is suggested pro expertise illustration and reasoning over user contours respectively. That version absorbs ontological user contours on or after each a biosphere know-how base and person local instance repositories. The ontology model is evaluated by way of evaluating it in opposition to benchmark fashions in internet data gathering. The consequences display that this ontology prototype is a hit.
R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval, Addison Wesley, 1999.
G. E. P. Box, J. S. Hunter, and W .G. Hunter, Statistics for Experimenters, John Wiley & Sons, 2005.
C. Buckley and E. M. Voorhees, “Evaluating Evaluation Measure Stability,” Proc. ACM SIGIR ‘00, pp. 33-40, 2000.
Z. Cai, D.S. McNamara, M. Louwerse, X. Hu, M. Rowe, and A.C.Grassers, “NLS: A Non-Latent Similarity Algorithm,” Proc. 26thAnn. Meeting of the Cognitive Science Soc., (CogSci ‘04), pp. 180-185, 2004. Tao et al., An Adapted Ontology Model For Web Information Gathering 509 Table 6 T-Test Statistic Results for Sensitivity Test.
L. M. Chan, Library of Congress Subject Headings: Principle and Application, Libraries Unlimited, 2005.
P. A. Chirita, C. S. Firan, and W. Nejdl, “Adapted Query Expansion for the Web,” Proc. ACM SIGIR (‘07), pp. 7-14, 2007.
R. M. Colomb, “Information Spaces: The Architecture of Cyberspace,” Springer, 2002.
A. Doan, J. Madhavan, P. Domingos, and A. Halevy, “Learning to Map between Ontologies on the Semantic Web,” Proc. 11th Int’l Conf. Biosphere Wide Web (WWW ‘02), pp. 662- 673, 2002.
D. Dou, G. Frishkoff, J. Rong, R. Frank, A. Alony, and D. Tucker, “Development of Neuroelectromagnetic Ontologies (NEMO): A Framework for Mining Brainwave Ontologies,” Proc. ACM SIGKDD (‘07), pp. 270-279, 2007.
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