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Transparent access to multiple bioinformatics information sources

Goble, C. A., Stevens, R., Ng, G., Bechhofer, S., Paton, N. W., Baker, P. G., Peim, M., Brass, A.·2001·IBM Systems Journal

Abstract

This paper describes the Transparent Access to Multiple Bioinformatics Information Sources project, known as TAMBIS, in which a domain ontology for molecular biology and bioinformatics is used in a retrieval-based information integration system for biologists. The ontology, represented using a description logic and managed by a terminology server, is used both to drive a visual query interface and as a global schema against which complex intersource queries are expressed. These source-independent declarative queries are then rewritten into collections of ordered source-dependent queries for execution by a middleware layer. In bioinformatics, the majority of data sources are not databases but tools with limited accessible interfaces. The ontology helps manage the interoperation between these resources. The paper emphasizes the central role that is played by the ontology in the system. The project distinguishes itself from others in the following ways: the ontology, developed by a biologist, is substantial; the retrieval interface is sophisticated; the description logic is managed by a sophisticated terminology server. A full pilot application is available as a Java™ applet integrating five sources concerned with proteins. This pilot is currently undergoing field trials with working biologists and is being used to answer real questions in biology, one of which is used as a case study throughout the paper.

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Metadata

Authors
Goble, C. A., Stevens, R., Ng, G., Bechhofer, S., Paton, N. W., Baker, P. G., Peim, M., & Brass, A.
Venue
IBM Systems Journal
Publisher
IBM
Published
2001
Volume
40
Issue
2
Pages
532-551
ISSN
0018-8670 (ISSN-L)
OpenAlex
W2094258495
Cited by
243
References
0
FWCI
22.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Transparent access to multiple bioinformatics information sources. https://app.cochat.ai/papers/10.1147/sj.402.0532
The paper
Goble, C. A., Stevens, R., Ng, G., Bechhofer, S., Paton, N. W., Baker, P. G., Peim, M., & Brass, A. (2001). Transparent access to multiple bioinformatics information sources. IBM Systems Journal. https://doi.org/10.1147/sj.402.0532

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.