A pragmatic approach to mapping the open biomedical ontologies

Authors:
Deendayal Dinakarpandian;Tuanjie Tong;Yugyung Lee
Affiliations:
School of Computing and Engineering, University of Missouri, Kansas City, MO 64110, USA.;School of Computing and Engineering, University of Missouri, Kansas City, MO 64110, USA.;School of Computing and Engineering, University of Missouri, Kansas City, MO 64110, USA
Venue:
International Journal of Bioinformatics Research and Applications
Year:
2007

Citing 17
Cited 2

Issues and approaches of database integration

Communications of the ACM
Modeling Web sources for information integration

AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Reconciling schemas of disparate data sources: a machine-learning approach

SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Evaluating ontological decisions with OntoClean

Communications of the ACM - Ontology: different ways of representing the same concept
Learning to map between ontologies on the semantic web

Proceedings of the 11th international conference on World Wide Web
Determining Semantic Similarity among Entity Classes from Different Ontologies

IEEE Transactions on Knowledge and Data Engineering
Sweetening Ontologies with DOLCE

EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Generic Schema Matching with Cupid

Proceedings of the 27th International Conference on Very Large Data Bases
Facilitating the Exchange of Explicit Knowledge through Ontology Mappings

Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
The Chimaera Ontology Environment

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Registering Scientific Information Sources for Semantic Mediation

ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
Knowledge-Based Integration of Neuroscience Data Sources

SSDBM '00 Proceedings of the 12th International Conference on Scientific and Statistical Database Management
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching

ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Towards a SemanticWeb for Bioinformatics using Ontology-based Annotation

WETICE '05 Proceedings of the 14th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprise
COMA: a system for flexible combination of schema matching approaches

VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
FCA-MERGE: bottom-up merging of ontologies

IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1

Survey of modular ontology techniques and their applications in the biomedical domain

Integrated Computer-Aided Engineering - Selected papers from the IEEE Conference on Information Reuse and Integration (IRI), July 13-15, 2008
A network-theoretic approach for decompositional translation across Open Biological Ontologies

Journal of Biomedical Informatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

There has been a large increase in the number of ontologies that have been introduced by the biomedical community in recent years. To maximise their potential, there is an urgent need for a mechanism to build interoperability between ontologies developed by different groups. While identifying and linking related concepts is of obvious importance, it is also essential to analyse how ontologies as a whole overlap and can be clustered. This paper explores overlapping relationships in the Open Biomedical Ontologies (OBO) and provides an interoperability framework called InterOBO for sharing biomedical knowledge across OBO communities.