The use of concept maps during knowledge elicitation in ontology development processes – the nutrigenomics use case View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2006-12

AUTHORS

Alexander Garcia Castro, Philippe Rocca-Serra, Robert Stevens, Chris Taylor, Karim Nashar, Mark A Ragan, Susanna-Assunta Sansone

ABSTRACT

BACKGROUND: Incorporation of ontologies into annotations has enabled 'semantic integration' of complex data, making explicit the knowledge within a certain field. One of the major bottlenecks in developing bio-ontologies is the lack of a unified methodology. Different methodologies have been proposed for different scenarios, but there is no agreed-upon standard methodology for building ontologies. The involvement of geographically distributed domain experts, the need for domain experts to lead the design process, the application of the ontologies and the life cycles of bio-ontologies are amongst the features not considered by previously proposed methodologies. RESULTS: Here, we present a methodology for developing ontologies within the biological domain. We describe our scenario, competency questions, results and milestones for each methodological stage. We introduce the use of concept maps during knowledge acquisition phases as a feasible transition between domain expert and knowledge engineer. CONCLUSION: The contributions of this paper are the thorough description of the steps we suggest when building an ontology, example use of concept maps, consideration of applicability to the development of lower-level ontologies and application to decentralised environments. We have found that within our scenario conceptual maps played an important role in the development process. More... »

PAGES

267

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2105-7-267

DOI

http://dx.doi.org/10.1186/1471-2105-7-267

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1034601993

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16725019


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