M.Mahalaksmi et al., International Journal of Emerging Technologies in Computational and Applied Sciences, 8(5), March-May, 2014, pp. 407-410
Figure 3 fairness Distance Evaluation Graph
The resultant curves shows that the blue one shows the average difference between each document’s position in Google and the position of each document according to our re-ranking method. The pink curve shows the average difference between each document’s position in our method and the position of each document according to the three experts. VI.
Conclusions
We have proposed a new approach, the use of ‘‘ontology concepts’’, as a relevancy measure to re-rank retrieved web documents. We showed its value in the electronic commerce domain. The re-ranking of documents enhanced their relevancy. Our results showed that the average ranking error was less than several search engines. VII. References [1] [2] [3] [4] [5] [6] [7]
[8]
A. Kayed, R. Colomb, Extracting ontological concepts for tendering conceptual structures, Data and Knowledge Engineering 40 (1), 2002, pp. 71–89. A. Kayed, N. Hirzallah, L. Al-Shalabi, M. Najjar, Building ontological relationships: a new approach, Journal of the American Society for Information Science and Technology, ISSN: 1532-2882, John Wiley & Sons Inc., pp. 1801–1809, 2008. L. Ding, R. Pan, T. Finin, A. Joshi, Y. Peng, P. Kolari, Finding and ranking knowledge on the semantic web, in: Proceedings of the 4th International Semantic Web Conference, 2005, pp. 156–170. Ontology Ranking based on the Analysis of Concept Structures, Harith Alani Dept. of Electronics & Computer Science University of Southampton, UK, Christopher Brewster Dept. of Computer Science University of Sheffield, UK. Concept Based Information Access Using Ontologies and Latent Semantic Analysis Rifat Ozcan, Y. Alp Aslandogan {ozcan,alp}@cse.uta.edu Semantic Search using Ontology and RDBMS for Cricket S. M. Patil Information Technology Department, BVCOE, Navi Mumbai, Maharashtra, India D. M. Jadhav Information Technology Department, PIIT, New Panvel, Maharashtra, India. Identifying key concepts in an ontology, through the integration of cognitive principles with statistical and topological measures Silvio Peroni, Enrico Motta, and Mathieu d’Aquin Knowledge Media Institute The Open University Milton Keynes, United Kingdom Ranking web sites using domain ontology concepts, Ahmad Kayed a,*, Eyas El-Qawasmeh b, Zakariya Qawaqneh c, Science direct(2010)
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