Unsupervised learning
Wrapper induction: efficiency and expressiveness
Artificial Intelligence - Special issue on Intelligent internet systems
Combining ontology engineering subprocesses to build a time ontology
Proceedings of the 2nd international conference on Knowledge capture
ViPER: augmenting automatic information extraction with visual perceptions
Proceedings of the 14th ACM international conference on Information and knowledge management
Adaptive faceted browser for navigation in open information spaces
Proceedings of the 16th international conference on World Wide Web
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In this paper we describe the process of experimental ontology data set creation. Such a semantically enhanced data set is needed in experimental evaluation of applications for the Semantic Web. Our research focuses on various levels of the process of data set creation - data acquisition using wrappers, data preprocessing on the ontology instance level and adjustment of the ontology according to the nature of the evaluation step. Web application aimed at clustering of ontology instances is utilized in the process of experimental evaluation, serving both as an example of an application and visual presentation of the experimental data set to the user.