Abstract | ||
---|---|---|
The field of biomedicine has embraced the Semantic Web probably more than any other field. As a result, there is a large number of biomedical ontologies covering overlapping areas of the field. We have developed BioPortal--an open community-based repository of biomedical ontologies. We analyzed ontologies and terminologies in BioPortal and the Unified Medical Language System (UMLS), creating more than 4 million mappings between concepts in these ontologies and terminologies based on the lexical similarity of concept names and synonyms. We then analyzed the mappings and what they tell us about the ontologies themselves, the structure of the ontology repository, and the ways in which the mappings can help in the process of ontology design and evaluation. For example, we can use the mappings to guide users who are new to a field to the most pertinent ontologies in that field, to identify areas of the domain that are not covered sufficiently by the ontologies in the repository, and to identify which ontologies will serve well as background knowledge in domain-specific tools. While we used a specific (but large) ontology repository for the study, we believe that the lessons we learned about the value of a large-scale set of mappings to ontology users and developers are general and apply in many other domains. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1007/978-3-642-04930-9_15 | International Semantic Web Conference |
Keywords | Field | DocType |
million mappings,ontology repository,biomedical ontology,ontology design,unified medical language system,large number,concept name,pertinent ontology,semantic web,open community-based repository,hundred ontologies | Ontology (information science),Data mining,Information retrieval,Process ontology,Computer science,Open Biomedical Ontologies,IDEF5,Upper ontology,Ontology components,Unified Medical Language System,Web Ontology Language | Conference |
Volume | ISSN | Citations |
5823 | 0302-9743 | 30 |
PageRank | References | Authors |
1.89 | 10 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Amir Ghazvinian | 1 | 92 | 7.81 |
Natalya Fridman Noy | 2 | 5006 | 381.51 |
Clement Jonquet | 3 | 673 | 57.77 |
Nigam Shah | 4 | 212 | 20.11 |
Mark A Musen | 5 | 7141 | 766.74 |