Machine Learning
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
FCA-MERGE: bottom-up merging of ontologies
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
A framework for aligning ontologies
PPSWR'05 Proceedings of the Third international conference on Principles and Practice of Semantic Web Reasoning
A corpus-driven approach for design, evolution and alignment of ontologies
Proceedings of the 38th conference on Winter simulation
SAMBO-A system for aligning and merging biomedical ontologies
Web Semantics: Science, Services and Agents on the World Wide Web
Using Partial Reference Alignments to Align Ontologies
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Semantic Matching Using the UMLS
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Selecting an ontology for biomedical text mining
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
A tool for evaluating ontology alignment strategies
Journal on data semantics VIII
Information integration in bioinformatics with ontologies and standards
Semantic techniques for the web
MedMatch - towards domain specific semantic matching
ICCS'11 Proceedings of the 19th international conference on Conceptual structures for discovering knowledge
Frame-based ontological view for semantic integration
Journal of Network and Computer Applications
InterOnto --- ranking inter-ontology links
DILS'12 Proceedings of the 8th international conference on Data Integration in the Life Sciences
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In recent years many biomedical ontologies have been developed and many of these ontologies contain overlapping information. To be able to use multiple ontologies they have to be aligned. In this paper we propose strategies for aligning ontologies based on life science literature. We propose a basic algorithm as well as extensions that take the structure of the ontologies into account. We evaluate the strategies and compare them with strategies implemented in the alignment system SAMBO. We also evaluate the combination of the proposed strategies and the SAMBO strategies.