Semantic integration of heterogeneous information sources
Data & Knowledge Engineering - Special issue on heterogeneous information resources need semantic access
Authoring and annotation of web pages in CREAM
Proceedings of the 11th international conference on World Wide Web
A Graph-Oriented Model for Articulation of Ontology Interdependencies
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
MnM: Ontology Driven Semi-automatic and Automatic Support for Semantic Markup
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
S-CREAM - Semi-automatic CREAtion of Metadata
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
New Tools for the Semantic Web
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
MAFRA - A MApping FRAmework for Distributed Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Adaptive information extraction from text by rule induction and generalisation
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Improving portlet interoperability through deep annotation
WWW '05 Proceedings of the 14th international conference on World Wide Web
IEEE Transactions on Knowledge and Data Engineering
Ontology-based content model for scalable content reuse
Proceedings of the 4th international conference on Knowledge capture
Interoperable Petri net models via ontology
International Journal of Web Engineering and Technology
Semantic and pragmatic annotation for government information discovery, sharing and collaboration
Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government
Parsing query interfaces of deep web: from specialization to generalization
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Semantic Conversion for Dynamic Web Pages
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Semantically integrating portlets in portals through annotation
WISE'06 Proceedings of the 7th international conference on Web Information Systems
Mapping DB to RDF with additional discovered relations
AIKED'12 Proceedings of the 11th WSEAS international conference on Artificial Intelligence, Knowledge Engineering and Data Bases
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One of the core challenges of the Semantic Web is to create metadata by mass collaboration-by combining semantic content created by a large number of people. To attain this objective, researchers have developed several approaches to deal with the manual or semiautomatic creation of metadata from existing information. However, these approaches-as well as older ones that provide metadata-build on the assumption that the information sources under consideration are static, given as static HTML pages or as books in a library. Today, however, a large percentage of Web pages are not static documents. On the contrary, the majority of Web pages are dynamic. Estimates about the ratio of static to dynamic pages based on Web pages actually crawled by search engines typically conclude that dynamic Web pages outnumber static ones by 100 to 1. For dynamic Web pages (those that are generated from a database that contains a catalog of books), annotating every single page manually does not seem to be useful. Rather, it is better to annotate the database to reuse it for site-specific Semantic Web purposes. Deep annotation, an annotation process that can help with this problem, uses information proper, information structure, and information context to derive mappings between information structures.