Visual Web Information Extraction with Lixto
Proceedings of the 27th International Conference on Very Large Data Bases
Ontologies: How can They be Built?
Knowledge and Information Systems
Personalized navigation in the semantic web
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Personalized Presentation in Web-Based Information Systems
SOFSEM '07 Proceedings of the 33rd conference on Current Trends in Theory and Practice of Computer Science
Intelligent Information Processing in Semantically Enriched Web
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
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The increasing number of Semantic Web applications that work with ontologies implies an increased need for building ontological knowledge bases. In order to improve ontologies during their development as well as to allow applications to be experimentally evaluated prior to their complete implementation and deployment, ontology bases must be filled with experimental data (i.e., instance ontologies), which can be used to evaluate methods used for information processing. We describe several approaches together with a method of building an ontological knowledge base for purposes of experimentation with Semantic Web applications. We also discuss characteristics and suitability of particular approaches to the development of experimental ontological knowledge bases.