Building a bioinformatics ontology using OIL

IEEE Transactions on Information Technology in Biomedicine

Volumn 6, Issue 2, 2002, Pages 135-141

  Stevens, Robert ^a   Goble, Carole ^a   Horrocks, Ian ^a   Bechhofer, Sean ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Bioinformatics; Concepts; Molecular biology; Necessity; Ontology; Ontology inference layer (OIL); Properties; Reasoning; Sufficiency; Transparent access to multiple bioinformatics information sources (TAMBIS)

Indexed keywords

FORMAL LOGIC; INFORMATION RETRIEVAL; KNOWLEDGE REPRESENTATION; METADATA; MOLECULAR BIOLOGY; SEMANTICS; TERMINOLOGY;

BIOINFORMATICS; ONTOLOGY INTERFACE LAYERS (OIL);

INFORMATION USE;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGY; CLASSIFICATION; COMPUTER LANGUAGE; COMPUTER NETWORK; DATA BASE; DECISION SUPPORT SYSTEM; FACTUAL DATABASE; FEASIBILITY STUDY; INFORMATION RETRIEVAL; INTERNET; METHODOLOGY; SEMANTICS; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; COMPUTER COMMUNICATION NETWORKS; DATABASE MANAGEMENT SYSTEMS; DATABASES, FACTUAL; DECISION SUPPORT TECHNIQUES; FEASIBILITY STUDIES; INFORMATION STORAGE AND RETRIEVAL; INTERNET; MODELS, THEORETICAL; PROGRAMMING LANGUAGES; SEMANTICS;

EID: 0036591375     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2002.1006301     Document Type: Article

References (9)

1. A strategy for database interoperation
2. Ontology-based knowledge representation for bioinformatics
3. An ontology for bioinformatics applications
4. OIL in a nutshell
5. Transparent access to multiple bioinformatics information sources
6. The GPAIL concept modeling language for medical terminology
7. Ontologies: Principles, methods and applications
8. Addressing biological complexity to enable knowledge sharing