Extracting personalised ontology from data-intensive web application: An HTML forms-based reverse engineering approach

Informatica

Volumn 18, Issue 4, 2007, Pages 511-534

  Benslimane, Sidi Mohamed ^a   Malki, Mimoun ^a   Rahmouni, Mustapha Kamal ^b   Benslimane, Djamal ^c  

^a UNIVERSITY OF SIDI BEL ABBES   (Algeria)

^b UNIVERSITY OF ORAN   (Algeria)

^c UNIVERSITÉ LYON 1   (France)

Author keywords

Data intensive web application; HTML forms; Ontology; Reverse engineering; Semantic web

Indexed keywords

EID: 37549042442     PISSN: 08684952     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (28)

1. Anderson, M. (1994). Extracting an entity-relationship schema from a relational database through reverse engineering. In Proceeding of the 13th International Conference on Entity-Relationship Approach, pp. 403-419.
2. Astrova, I. (2004). Reverse engineering of relational databases to ontologies. In Proceeding of the 1st European Semantic Web Symposium (ESWS), Heraklion, Greece. LNCS, vol. 3053. pp. 327-34.1.
3. Astrova, I., and B. Stantic (2005). An HTML forms driven approach to reverse engineering of relational databases to ontologies. In Proceeding of the 23rd IASTED International Conference on Databases and Applications (DBA), Innsbruck, Austria, pp. 246-251.
4. Baclawski, K., M. Kokar, P. Kogut, L. Hart, J. Smith, W. Holmes, J. Letkowski and M. Aronson (2001). Extending UML to support ontology engineering for the semantic web. In Proceeding of the Fourth International Conference on UML, Toronto, pp. 342-360.
5. Batini, C., M. Lenzerini and S.B. Navathe (1986). A comparative analysis of methodologies for database schema integration. ACM Computing Surveys, 18(4), 323-364.
6. Behm, A., K. Geppert and K. Dietrich (1997). On the migration of relational schemas and data to object-oriented database systems. In Proceeding of the 5th Int. Conference on Re-Technologies for Information Systems, Klagenfurt. pp. 13-33.
7. Benslimane, S.M., M. Malki and D. Amar Bensaber (2005). Automated migration of data-intensive web pages into ontology-based semantic web: a reverse engineering approach. In R. Meersman et al., (Eds.), ODBASE. Springer Verlag, vol. 2. LNCS 3761. pp. 1640-1649.
8. Chiang, R.H.L., TM. Barron and V.C. Story (1994). Reverse engineering of relational databases: extraction, of an EER model from, a relational database. Data and Knowledge Engineering, 10(12), 107-142.
9. Choobineh, J., M.V. Mannino and V.P. Tseng (1992). A form-based approach for database analysis and design. Communication of the ACM, 35(2), 108-120.
10. Cranefield, S. (200.1). UML and the Semantic Web. In Proceeding of the International Semantic Web Working Symposium, Palo Alto. pp. 18-29.
11. Embley, D. (2004). Toward semantic understanding - an approach based on information extraction. In Proceeding of the 15th Australasian Database Conference (ADC), Dunedin, New Zealand, pp. 3-12.
12. Erdmann, M., A. Maedche, H. Schnurr and S. Staab (2000). From manual to semi-automatic semantic annotation: about ontology-based text annotation tools. In P. Buitelaar and K. Hasida (Eds.), Proceedings of the Workshop on Semantic Annotation and Intelligent Content (COLING), Luxembourg, pp. 233-230.
13. Falkovych, K., M. Sabou and H. Stuckenschmidt (2003). UML for the Semantic Web: Transformation-Based Approaches. Knowledge Transformation for the Semantic Web, IOS Press, Amsterdam.
14. Fraternali, P. (1999). Tools and approaches for developing data-intensive web applications: a survey. ACM Computing Surveys, 31(9), 227-263.
15. Gruber, T.R. (1995). Toward principles for the design of ontologies used for knowledge sharing. Human Computer Studies, 43(5-6), 907-928.
16. Kashyap, V. ( 1999). Design and creation of ontologies for environmental information retrieval. In Proceeding of the 12th Workshop on Knowledge Acquisition, Modelling and Management (KAW), Banff, Alberta, Canada, pp. 3-21.
17. Malki, M., M. Ayache and M.K. Rahmouni (1999). Rétro- ingénierie des bases de données relationnelles: approche basée sur l'analyse de formulaires. In Actes du XVIIème Congrès INFORSID, Toulon, France. pp. 340-348.
18. Malki, M., A. Flory and M.K. Rahmouni (2002). Extraction of object-oriented schémas from existing relational databases: a form-driven approach. Informatica, 13(1), 47-72.
19. Mannila, H., and K.J. Raiha (1994). The Design of Relational Databases. Addison-Wesley publishing. Boston, MA, USA.
20. Müller, R.J. (1999). Database Design for Smarties: Using UML for Data Modeling. Morgan Kaufmann.
21. Noy, N., and M. Klein (2004). Ontology evolution: not the same as schema evolution. Knowledge and Information Systems, 6(4), 428-440.
22. Petit, J.M., F. Toumani and J. Kouloumdjian (1995). Relational database reverse engineering: a method based on query analysis. International Journal of Cooperative Information System, 4(2,3), 287-316.
23. Rubin, D.L., M. Hewett, D.E. Oliver, T.E Klein and R.B. Altman (2002). Automatic data acquisition into ontologies from pharmacogenetics relational data sources using declarative object definitions and XML. In R.B. Lihue et al. (Eds.), Proceedings of the Pacific Symposium on Biology, pp. 22-34.
24. Stojanovic, L., N. Stojanovic and R. Volz (2002). Migrating data-intensive web sites into the semantic web. In Proceeding of the 17th ACM Symposium on Applied Computing (SAC'2002), Madrid, Spain, pp. 1100-1107.
25. Tijerino, Y.A., D.W. Embly, D.W. Lonsdale, Y. Ding and G. Nagy (2005). Towards ontology generation from tables. 8(3), 261-285.
26. Volz, R., S. Handschuh, S. Staab, L. Stojanovic and N. Stojanovic (2004). Unveiling the hidden bride: deep annotation for mapping and migrating legacy data to the semantic Web. Journal of Web Semantics: Science, Services and Agents on the Word Wide. Web, 1(2), 187-206.
27. Wang, J., and F. Lochovsky (2003). Data extraction and label assignment for web databases. In Proceeding of the 12th International Conference on World Wide Web, Budapest, Hungary, pp. 187-196.
28. Yang, Y., and H. Zhang (2001). HTML page analysis based on visual cues. In Proceeding of the 6th International Conference on Document Analysis and Recognition (ICDAR), Seattle, USA. pp. 859-864.