Proceedings of the 2nd international conference on Knowledge capture
Applying Ontology Design Patterns in Bio-ontologies
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Content Ontology Design Patterns as Practical Building Blocks for Web Ontologies
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
Embedding Knowledge Patterns into OWL
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
OPPL-Galaxy: enhancing ontology exploitation in galaxy with OPPL
Proceedings of the 4th International Workshop on Semantic Web Applications and Tools for the Life Sciences
Flexibility and utility of the cell cycle ontology
Applied Ontology - Is there Beauty in Ontologies?
Engineering use cases for modular development of ontologies in OWL
Applied Ontology - Modularity in Ontologies
Extraction and analysis of the structure of labels in biomedical ontologies
Proceedings of the 2nd international workshop on Managing interoperability and compleXity in health systems
"Hidden semantics": what can we learn from the names in an ontology?
INLG '12 Proceedings of the Seventh International Natural Language Generation Conference
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In this paper we describe the process of taking an axiomatically lean ontology and enriching it through the automatic application of axioms using ontology design patterns (ODP). Our exemplar is the Gene Ontology's Molecular Function Ontology; this describes an important part of biology and is widely used to describe data. Yet much of the knowledge within the GO's MF is captured within the term's that label the concepts and within the natural language definitions for those concepts. Whilst both of these are absolutely necessary for an ontology, it is also useful to have the knowledge within the textual part of the ontology exposed for computational use. In this work we use an extension to the Ontology PreProcessor Language (OPPL) to dissect terms within the ontology and add axiomatisation, through OPPL's application of ODP, that make the knowledge explicit for computational use. We show the axiomatic enriching of the GO MF; that this can be accomplished both rapidly and consistently; that there is an audit trail for the transformation; and that the queries supported by the ontology are greatly increased in number and complexity.