Enrichment of {OWL} Ontologies: A Method for Defining Axioms from Labels
M Quesada-Mart ' inez, Jesualdo Tomás Fernández‐Breis, Robert Stevens, Laura Moss, Derek H. Sleeman · 2012
An increasing interest in biomedical ontologies has provoked the development of a significant number of ontologies. Many such ontolo- gies have not been created by computer scientists or ontology engineers, but by domain experts. Some of these ontologies are rich in implicit knowledge, which is frequently within the labels of the classes. However, these ontologies are really just plain taxonomies and controlled vocabu- laries with little degree of axiomatization, being difficult to use for ma- chine processing. In previous work we proposed a process for enriching ontologies which included the analysis of such labels, the identification of lexical patterns and the design of knowledge patterns from them. How- ever, this process relied on manual intervention and it was apply in just one ontology. In this paper we refine the method and develop an auto- matic tool to guide the process of including axiomatization in ontologies through the automated study of labels. Additionally, the identification of the lexical patterns is support with information about external entities that could be re-used. Finally, such knowledge patterns are coded and executed using the Ontology Pre-Processor Language (OPPL), and our tool permits their definition without advanced knowledge of OPPL.