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IEEE Intelligent Systems
TAMBIS: Transparent Access to Multiple Bioinformatics Information Sources
ISMB '98 Proceedings of the 6th International Conference on Intelligent Systems for Molecular Biology
IJCAR '01 Proceedings of the First International Joint Conference on Automated Reasoning
Using Selectional Restrictions to Query an OWL Ontology
Proceedings of the 2006 conference on Formal Ontology in Information Systems: Proceedings of the Fourth International Conference (FOIS 2006)
The fungalweb ontology: semantic web challenges in bioinformatics and genomics
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
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PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
Combining biological databases and text mining to support new bioinformatics applications
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Categorical Representation of Evolving Structure of an Ontology for Clinical Fungus
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yOWL: An ontology-driven knowledge base for yeast biologists
Journal of Biomedical Informatics
Using Selectional Restrictions to Query an OWL Ontology
Proceedings of the 2006 conference on Formal Ontology in Information Systems: Proceedings of the Fourth International Conference (FOIS 2006)
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International Journal of Telemedicine and Applications - Special issue on electronic health
Incremental biomedical ontology change management through learning agents
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ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
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The FungalWeb Ontology seeks to support various data integration needs of enzyme biotechnology from inception to product roll. Serving as a knowledgebase for decision support, the conceptualization seeks to link fungal species with enzymes, enzyme substrates, enzyme classifications, enzyme modifications, enzyme related intellectual property, enzyme retail and applications. The ontology, developed in the OWL language, is the result of the integration of numerous biological database schemas, web accessible text resources and components of existing ontologies. We assess the quantity of implicit knowledge in the FungalWeb Ontology by analyzing the range of tags in the OWL files and along with other description logic (DL) computable metrics of the ontology, contrast it with other publicly available bio-ontologies. Thereafter, we demonstrate how the FungalWeb Ontology supports its broad remit required in fungal biotechnology by (i) presenting application scenarios (ii) presenting the conceptualizations of the ontological frame able to support these scenarios and (iii) suggesting semantic queries typical of a fungal enzymologist involved in product development. Recognizing the complexity of the ontology query process for the non-technical manager we introduce a simplified query tool, Ontoligent Interactive Query (OntoIQ) that allows the user to browse and build queries from a selection of query patterns and ontology content. The OntoIQ interface supports users not familiar with writing DL syntax allowing them access to the ontology with expressive description logic reasoning tools. Finally we discuss the challenges encountered during the development of semantic infrastructure for fungal enzyme biotechnologists.