Enabling technology for knowledge sharing
AI Magazine
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
An Evaluation of Ontology Exchange Languages for Bioinformatics
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology
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
Semantic enrichment for improving systems interoperability
Proceedings of the 2004 ACM symposium on Applied computing
Ontology mapping: the state of the art
The Knowledge Engineering Review
Exploiting Multiple Paths to Express Scientific Queries
SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
Bioinformatics integration and agent technology
Journal of Biomedical Informatics
BioFast: challenges in exploring linked life sciences sources
ACM SIGMOD Record
Semantic integration: a survey of ontology-based approaches
ACM SIGMOD Record
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
Beyond the data deluge: data integration and bio-ontologies
Journal of Biomedical Informatics - Special issue: Biomedical ontologies
Ontology Matching
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
Structure-Based Filtering for Ontology Alignment
WETICE '06 Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
Kinetic Modeling Using BioPAX Ontology
BIBM '07 Proceedings of the 2007 IEEE International Conference on Bioinformatics and Biomedicine
Journal of Biomedical Informatics
FCA-MERGE: bottom-up merging of ontologies
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
A tool for evaluating ontology alignment strategies
Journal on data semantics VIII
A cognitive support framework for ontology mapping
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
A method for recommending ontology alignment strategies
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Alignment of biomedical ontologies using life science literature
KDLL'06 Proceedings of the 2006 international conference on Knowledge Discovery in Life Science Literature
A survey of schema-based matching approaches
Journal on Data Semantics IV
A system for debugging missing is-a structure in networked ontologies
DILS'10 Proceedings of the 7th international conference on Data integration in the life sciences
Debugging the missing is-a structure of networked ontologies
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
Debugging is-a structure in networked taxonomies
Proceedings of the 4th International Workshop on Semantic Web Applications and Tools for the Life Sciences
Mapping adaptation actions for the automatic reconciliation of dynamic ontologies
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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New experimental methods allow researchers within molecular and systems biology to rapidly generate larger and larger amounts of data. This data is often made publicly available on the Internet and although this data is extremely useful, we are not using its full capacity. One important reason is that we still lack good ways to connect or integrate information from different resources. One kind of resource is the over 1000 data sources freely available on the Web. As most data sources are developed and maintained independently, they are highly heterogeneous. Information is also updated frequently. Other kinds of resources that are not so well-known or commonly used yet are the ontologies and the standards. Ontologies aim to define a common terminology for a domain of interest. Standards provide a way to exchange data between data sources and tools, even if the internal representations of the data in the resources and tools are different. In this chapter we argue that ontological knowledge and standards should be used for integration of data. We describe properties of the different types of data sources, ontological knowledge and standards that are available on the Web and discuss how this knowledge can be used to support integrated access to multiple biological data sources. Further, we present an integration approach that combines the identified ontological knowledge and standards with traditional information integration techniques. Current integration approaches only cover parts of the suggested approach. We also discuss the components in the model on which much recent work has been done in more detail: ontology-based data source integration, ontology alignment and integration using standards. Although many of our discussions in this chapter are general we exemplify mainly using work done within the REWERSE working group on Adding Semantics to the Bioinformatics Web.