Annotea: an open RDF infrastructure for shared Web annotations
Proceedings of the 10th international conference on World Wide Web
Authoring and annotation of web pages in CREAM
Proceedings of the 11th international conference on World Wide Web
Constructing Biological Knowledge Bases by Extracting Information from Text Sources
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
CONFOTO: a semantic browsing and annotation service for conference photos
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Understanding Semantic Web Applications
ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
Mining relationship associations from knowledge about failures using ontology and inference
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
SEMCL: A Cross-Language Semantic Model for Knowledge Sharing
International Journal of Knowledge and Systems Science
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The scientific enterprise depends on the effective transfer of knowledge from creator to user. Recently the rate of scientific knowledge production is overwhelming the ability for researchers to process it. Semantic web technologies may help to handle this vast amount of scientific knowledge. However, automatic computerized techniques that extract semantics from natural language text for use in matching with the requests of knowledge seekers achieve only mediocre results. Clearly, semantic descriptions of expert knowledge that are constructed by the knowledge creators themselves will be more accurate. We report an approach and software implementation of a knowledge sharing platform based on semantic web technologies, called EKOSS for expert knowledge ontology-based semantic search, that helps knowledge creators construct semantic descriptions of their knowledge. The EKOSS system enables knowledge creators to construct computer-interpretable semantically rich statements describing their knowledge with minimal effort and without any knowledge of semantic web technologies.