RiboWeb: An Ontology-Based System for Collaborative Molecular Biology
IEEE Intelligent Systems
Computer
NCI Thesaurus: A semantic model integrating cancer-related clinical and molecular information
Journal of Biomedical Informatics
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
Bioinformatics
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
Smooth introduction of semantic tagging in genotyping procedures
ITBAM'10 Proceedings of the First international conference on Information technology in bio- and medical informatics
Bioinformatics
On the suitability of BPMN for business process modelling
BPM'06 Proceedings of the 4th international conference on Business Process Management
Oncology ontology in the NCI thesaurus
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
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A widespread need is present in molecular biology laboratories for software systems to support the internal management of data and documents. A typical case is represented by genotyping procedures, which produce a large amount of documents whose content may represent a potentially important knowledge base. The exploitation of such information requires a proper classification of the elements in the knowledge base, and this can be effectively achieved using concepts and tools from research on the Semantic Web. In particular, genotyping-related documents can be handled through a DMS (Document Management System) that is also able to deal with semantic metadata, e.g. in the form of tags. The use of semantic tagging at this operating level is currently hampered by the lack of proper tools. In this paper, based on experience from a practical case, we present an integrated approach to manage relevant genotyping documents and to deal with their semantic tagging. A preliminary study on the test procedures workflow is crucial to understand the document production processes. The employed semantic annotation makes use of terms taken from domain ontologies in the biomedical field. The annotation tool must be seamlessly integrated in the supporting DMS; the tool flexibility and usability guarantee a low overhead for the annotation process, paving the way for a widespread adoption of semantic tagging for genotyping-related documents.