Linked: How Everything Is Connected to Everything Else and What It Means
Linked: How Everything Is Connected to Everything Else and What It Means
Planetary-scale views on a large instant-messaging network
Proceedings of the 17th international conference on World Wide Web
Collecting Community-Based Mappings in an Ontology Repository
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Matching unstructured vocabularies using a background ontology
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
Techniques for discovering correspondences between ontologies
International Journal of Web and Grid Services
Semi-Automatic Revision of Formalized Knowledge
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
From mappings to modules: using mappings to identify domain-specific modules in large ontologies
Proceedings of the sixth international conference on Knowledge capture
How matchable are four thousand ontologies on the semantic web
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
An empirical study of vocabulary relatedness and its application to recommender systems
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
A clustering-based approach to ontology alignment
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Terminology representation guidelines for biomedical ontologies in the semantic web notations
Journal of Biomedical Informatics
Relatedness between vocabularies on the Web of data: A taxonomy and an empirical study
Web Semantics: Science, Services and Agents on the World Wide Web
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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.