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, 1998) proposed three main steps to engineer ontologies: (i) to identify the purpose, (ii) to capture the concepts and relationships between these concepts, and the terms used to refer to these concepts and relationships, and (iii) to codify the ontology In fact, the principles behind this methodology in uenced much work in the ontology community Explicit tool support is given by the Ontolingua Server, but actually these principles heavily in uenced the design of most of today s more advanced ontology editors The KACTUS (Bernaras et al, 1996) approach requires an existing knowledge base for the ontology development The ontology is build based on the existing knowledge model, applying a bottom-up strategy There is no speci c tool support for this methodology METHONTOLOGY (Fernandez-Lopez et al.

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, 1999) is a methodology for building ontologies either from scratch, reusing other ontologies as they are, or by a process of re-engineering them The framework enables the construction of ontologies at the knowledge level, that is the conceptual level, as opposed to the implementation level The framework consists of: identi cation of the ontology development process containing the main activities (evaluation, con guration, management, conceptualization,Related: Generate Codabar NET , Create ITF-14 NET , Print Interleaved 2 of 5 NET.

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A performance evaluation of hyper text transfer protocols. n Proceedings of Performance'99=ACM SIGMETRICS'99, 1999. 5. J. Beran. Statistics for Long-Memory Processes. Chapman and Hall, New York, 1994. 6. V. A. Bolotin. Modeling call holding time distributions for CCS network design and performance analysis. IEEE J. Select. Areas Commun., 12(3):433 438, 1994. 7. M. E. Crovella and A. Bestavros. Explaining World Wide Web traf c self-similarity. Technical Report BU-CS-95-015, Boston University, Boston, 1995. 8. M. E. Crovella and A. Bestavros. Self-similarity in World Wide Web traf c evidence and possible causes. IEEE=ACM Trans. Networking, 5(6):835 846, 1997. 9. D. R. Cox. Long-range dependence: a review. In H. A. David and H. T. David, eds., Statistics: An Appraisal, pp. 55 74. Iowa State University Press, Ames, 1984. 10. I. Daubechies. Ten Lectures on Wavelets. SIAM, Philadelphia, 1992. 11. S. Deng. Empirical model of WWW document arrivals at access link. In Proceedings of ICC=SUPERCOMM'96, pp. 1197 1802, 1996. 12. D. E. Duffy, A. A. McIntosh, M. Rosenstein, and W. Willinger. Statistical analysis of. Network behavior of a busy web server and its lients. Technical Report 95=5, Digital Equipment Corp. Western Research Laboratory, 1995. D. S. Moore. Measures of lack of t from tests of chi-squared type. J. Statist. Planning Inference, 10:151 166, 1984. 128 In .NET Framework Using Barcode generator for .NET .Related: 

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A survey of ontology evaluation techniques roceedings of the 8th International multi-conference Information Society IS-2005, Ljubljana: Institut Jozef Stefan , 2005 Chakrabarti S 2002 Mining the Web: Analysis of Hypertext and Semi Structured Data Morgan Kaufmann Chapman P, Clinton J, Kerber R, Khabaza T, Reinartz T, Shearer C, Wirth R 2000 CRISP-DM 10: Step-by-step data mining guide Cimiano P, Pivk A, Schmidt-Thieme L, Staab S 2004 Learning taxonomic relations from heterogeneous evidence In Proceedings of ECAI 2004 Workshop on Ontology Learning and Population Craven M, Slattery S 2001 Relational learning with statistical predicate invention: better models for hypertext Machine Learning 43(1/2):97 119 Cunningham H, Bontcheva K 2005 Knowledge management and human language: crossing the chasm Journal of Knowledge Management Deerwester, S, Dumais, S, Furnas, G, Landuer, T, Harshman, R, (2001) Indexing by Latent Semantic Analysis Duda RO, Hart PE, Stork DG 2000.

Pattern Classi cation (2nd edn) John Wiley & Sons, Ltd Ehrig M, Haase P, Hefke M, Stojanovic N 2005 Similarity for ontologies A comprehensive framework Proceedings of 13th European Conference on Information Systems, May 2005 Fayyad, U, Grinstein, G G and Wierse, A (eds), (2001) Information Visualization in Data Mining and Knowledge Discovery, Morgan Kaufmann Fayyad U, Piatetski-Shapiro G, Smith P, Uthurusamy R (eds) 1996 Advances in Knowledge Discovery and Data Mining MIT Press: Cambridge, MA, 1996 Fernandez LM 1999 Overview of methodologies for building ontologies In Proceedings of the IJCAI-99 workshop on Ontologies and Problem-Solving Methods (KRR5) Fortuna B, Mladenic D, Grobelnik M 2005a Semi-automatic construction of topic ontology Proceedings of the ECML/PKDD Workshop on Knowledge Discovery for Ontologies Fortuna B, Mladenic D, Grobelnik M 2005b Visualization of text document corpus Informatica journal 29(4):497 502 Mining the Web: Analysis of Hypertext and Semi Structured Data Morgan Kaufmann.

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Chapman P, Clinton J, Kerber R, Khabaza T, Reinartz T, Shearer C, Wirth R 2000 CRISP-DM 10: Step-by-step data mining guide Cimiano P, Pivk A, Schmidt-Thieme L, Staab S 2004 Learning taxonomic relations from heterogeneous evidence In Proceedings of ECAI 2004 Workshop on Ontology Learning and Population Craven M, Slattery S 2001 Relational learning with statistical predicate invention: better models for hypertext Machine Learning 43(1/2):97 119 Cunningham H, Bontcheva K 2005 Knowledge management and human language: crossing the chasm Journal of Knowledge Management Deerwester, S, Dumais, S, Furnas, G, Landuer, T, Harshman, R, (2001) Indexing by Latent Semantic Analysis Duda RO, Hart PE, Stork DG 2000 Pattern Classi cation (2nd edn) John Wiley & Sons, Ltd Ehrig M, Haase P, Hefke M, Stojanovic N 2005 Similarity for ontologies A comprehensive framework Proceedings of 13th European Conference on Information Systems, May 2005 Fayyad, U.

, Grinstein, G G and Wierse, A (eds), (2001) Information Visualization in Data Mining and Knowledge Discovery, Morgan Kaufmann Fayyad U, Piatetski-Shapiro G, Smith P, Uthurusamy R (eds) 1996 Advances in Knowledge Discovery and Data Mining MIT Press: Cambridge, MA, 1996 Fernandez LM 1999 Overview of methodologies for building ontologies In Proceedings of the IJCAI-99 workshop on Ontologies and Problem-Solving Methods (KRR5) Fortuna B, Mladenic D, Grobelnik M 2005a Semi-automatic construction of topic ontology Proceedings of the ECML/PKDD Workshop on Knowledge Discovery for Ontologies Fortuna B, Mladenic D, Grobelnik M 2005b Visualization of text document corpus Informatica journal 29(4):497 502 In Visual Studio NET Using Barcode generator for ASP Related: .

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