A form-based approach for database analysis and design
Communications of the ACM
The design of relational databases
The design of relational databases
Reverse engineering of relational databases: extraction of an EER model from a relational database
Data & Knowledge Engineering
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Tools and approaches for developing data-intensive Web applications: a survey
ACM Computing Surveys (CSUR)
Migrating data-intensive web sites into the Semantic Web
Proceedings of the 2002 ACM symposium on Applied computing
CAiSE ;96 Proceedings of the 8th International Conference on Advances Information System Engineering
Object-Oriented Views of Relational Databases Incorporating Behaviour
Proceedings of the 4th International Conference on Database Systems for Advanced Applications (DASFAA)
Extracting an Entity Relationship Schema from a Relational Database through Reverse Engineering
ER '94 Proceedings of the13th International Conference on the Entity-Relationship Approach
Data extraction and label assignment for web databases
WWW '03 Proceedings of the 12th international conference on World Wide Web
Extracting Entity-Relationship Schemas from Relational Databases: A Form-Driven Approach
WCRE '97 Proceedings of the Fourth Working Conference on Reverse Engineering (WCRE '97)
HTML Page Analysis Based on Visual Cues
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Toward semantic understanding: an approach based on information extraction ontologies
ADC '04 Proceedings of the 15th Australasian database conference - Volume 27
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The advance of the Web has significantly and rapidly changed the way of information organization, sharing and distribution. The next generation of the web, the semantic web, seeks to make information more usable by machines by introducing a more rigorous structure based on ontologies. In this context we try to propose a novel and integrated approach for an automated migration of data-intensive web pages into ontology-based semantic web and thus, make the web content machine-understandable. Our approach is based on the idea that semantics can be extracted from the structures and the instances of database forms which are the most convenient interface to communicate with relational databases on the current Web. This semantics is exploited to help build ontology.