RiboWeb: An Ontology-Based System for Collaborative Molecular Biology
IEEE Intelligent Systems
Computer
Medical ontologies to support human disease research and control
International Journal of Web and Grid Services
Enabling ontology-based document classification and management in ebXML registries
Proceedings of the 2008 ACM symposium on Applied computing
Interlinking the Social Web with Semantics
IEEE Intelligent Systems
Integrating Folksonomies with the Semantic Web
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Semantic annotation for knowledge management: Requirements and a survey of the state of the art
Web Semantics: Science, Services and Agents on the World Wide Web
On the suitability of BPMN for business process modelling
BPM'06 Proceedings of the 4th international conference on Business Process Management
Management of genotyping-related documents by integrated use of semantic tagging
Transactions on large-scale data- and knowledge-centered systems IV
Management and storage of in situ oceanographic data: An ECM-based approach
Information Systems
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Concepts and tools from research on the Semantic Web have found widespread application in the classification of biomedical literature works and research results. A more substantial advantage could come from the semantic classification of any kind of documents from research, or even from ordinary diagnostic test: this may pave the way to building an impressive, semantically searchable knowledge base. The use of semantic tagging at this operating level is hampered by the lack of proper tools. In this paper we present an approach to introduce semantic tagging in genotyping test procedures. A formal analysis of the process workflow is crucial to pinpoint stages where tagging might be applied. Later, an enriched Enterprise Content Management system allows the archiving of test documents, whose metadata can encompass terms from any kind of ontologies. The flexibility and the usability of the system represent key factors for an actual, widespread introduction of semantic tagging in this field.