Asian Journal of Information Technology

Year: 2013
Volume: 12
Issue: 1
Page No. 45 - 52

An Improved Information Retrieval System Using Fuzzy Set Similarity Measure

Authors : R.M. Periakaruppan and R. Nadarajan

References

Ceravolo, P., M.C. Nocerino and M. Viviani, 2004. Knowledge extraction from Semi-structured data based on fuzzy techniques. Knowled. Based Emerg. Technol. Relied Intell. Inf. Eng. Syst. Lect. Notes Comput. Sci., 3215: 328-334.

Dalamagas, T., T. Cheng, K.J. Winkel and T. Sellis, 2006. A methodology for clustering xml documents by structure. Inform. Syst., 31: 187-228.
CrossRef  |  

Damiani, E., M.C. Nocerino and M. Viviani, 2004. Knowledge extraction from an XML data flow: Building a taxonomy based on clustering technique. Proceedings of the 8th EUROFUSE Meeting: EUROFUSE Workshop on Data and Knowledge Engineering, September 22-25, 2004, Warsaw, Poland, pp: 133-142.

De Vries, A., 2004. XML framework for concept description and knowledge representation. Artificial Intelligence. http://arxiv.org/pdf/cs/0404030.pdf.

Dogac, A., G. Laleci, Y. Kabak and I. Cingi, 2002. Exploiting web service semantics: Taxonomies vs. Ontologies. IEEE Data Eng. Bull., 25: 10-14.
Direct Link  |  

Fekete, J.D., G. Grinstein and C. Plaisant, 2004. IEEE InfoVis 2004 contest, the history of InfoVis. http://www.cs.umd.edu/hcil/iv04contest/.

Ghosh, S. and P. Mitram, 2008. Combining content and structure similarity for XML document classification using composite SVM kernels. Proceedings of the 19th International Conference on Pattern Recognition, December 8-11, 2008, Tampa, FL, pp: 1-4.

Gil-Garcia, R., J.M. Badia-Contelles and A. Pons-Porrata, 2006. A general framework for agglomerative hierarchical clustering algorithms. Proceedings of the 18th International Conference on Pattern Recognition, August 20-24, 2006, Hong Kong, pp: 569-572.

Guerrini, G., M. Mesiti and I. Sanz, 2007. An Overview of Similarity Measures for Clustering XML Documents. In: Web Data Management Practices: Emerging Techniques and Technologies, Vakali, A. and G. Pallis (Eds.). Idea Group Inc., USA., pp: 56-78.

Haav, H.M. and T.L. Lubi, 2001. A survey of concept-based information retrieval tools on the web. Proc. East-Eur. Conf. ADBIS, 2: 29-41.
Direct Link  |  

Hoelzer, S, R.K. Schweiger, R. Liu, D. Rudolf, J. Rieger and J. Dedeck, 2002. XML representation of hierarchical classification systems: From conceptual models to real applications. Proc. Amia Symp., 2002: 330-334.
PubMed  |  

Jan, J.P. and I. Kostial, 2003. Ontology-based information retrieval. Proceedings of 14th International Conference on Information and Intelligent systems (IIS), (ICIIS. 03), Varazdin, Croatia, pp: 23-28.

Jeong, B., D. Lee, H. Cho and J. Lee, 2008. A novel method for measuring semantic similarity for xml matching. Expert Syst. Applicat., 34: 1651-1658.
CrossRef  |  

Kwasnik, B.H., 1999. The role of classification in knowledge representation and discovery. Library Trends, 48: 22-47.
Direct Link  |  

Leung, H.P., F.L. Chung and S.C.F. Chan, 2003. A new sequential mining approach to XML document similarity computation. Proceedings of the 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining, April 30-May 2, 2003, Springer-Verlag, Berlin, Heidelberg, pp: 356-362.

Murty, M.N. and A.K. Jain, 1995. Knowledge-based clustering scheme for collection management and retrieval of library books. Pattern Recogn., 28: 949-963.
CrossRef  |  

Nagypl, G., 2005. Improving information retrieval effectiveness by using domain knowledge stored in ontologies. Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems, October 3, November 4, 2005, Springer-Verlag Berlin, Heidelberg, pp: 780-789.

Nierman, A. and H.V. Jagadish, 2002. Evaluating structural similarity in XML documents. Proceedings of the International Workshop on the Web and Databases, June 6-7, 2002, Wisconsin, USA., pp: 61-66.

Pan, H., X. Tan, A. Han and G. Yin, 2011. A domain knowledge based approach for medical image retrieval. Int. J. Inf. Eng. Elect. Busin., 3: 16-22.

Salton, G., A. Wong and C.S. Yang, 1975. A vector space model for automatic indexing. Commun. ACM, 18: 613-620.
CrossRef  |  Direct Link  |  

Solvberg, I., I. Nordbo and A. Aamodt, 1992. Knowl-edge-based information retrieval. Future Generat. Comput. Syst., 7: 379-390.

Tekli, J., R. Chbeir and K. Yetongnon, 2007. A hybrid approach for xml similarity. Proceedings of the 33rd conference on Current Trends in Theory and Practice of Computer Science, January 20-26, 2007, Springer-Verlag Berlin, Heidelberg, pp: 783-795.

Tekli, J., R. Chbeir and K. Yetongnon, 2009. An overview on XML similarity: Background, current trends and future directions. Comput. Sci. Rev., 3: 151-173.
CrossRef  |  

Tran, T., R. Nayak and P.D. Bruza, 2008. Combining structure and content similarities for XML document clustering. In7th Australasian Data Mining Conference, November 27-28, 2008, Glenelg, South Australia -.

Woosaeng, K., 2008. XML document similarity measure in terms of the structure and contents. Proceedings of the 2nd WSEAS International Conference on Computer Engineering and Applications, January 25-27, 2008, Acapulco, Mexico, pp: 205-212.

Yoon, C. and D.D. Dankell, 2005. Domain-specific knowledge-based information retrieval model using knowledge reduction. Doctoral Dissertation, University of Florida Gainesville, FL, USA,

Zhu, H., J.H. Xu and X.F. Ji, 2004. An approach to XML-based knowledge representation and its application in dynamic E-business. Proceedings of the IEEE International conference on E-Commerce Technology for Dynamic E-Business, Seprember 15-15, 2004, IEEE Computer Society Washington, DC, USA, pp: 196-199.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved