Learning ontological rules to extract multiple relations of genic interactions from text

International Journal of Medical Informatics

Volumn 78, Issue 12, 2009, Pages

  Manine, Alain Pierre ^a   Alphonse, Erick ^a   Bessières, Philippe ^b  

^a UNIVERSITÉ PARIS 13   (France)

^b INRA Institut National de la Recherche Agronomique   (France)

Author keywords

Genic Interactions; Inductive Logic Programming; Information Extraction; Machine Learning; Ontology

Indexed keywords

BACILLUS SUBTILIS; BIOLOGICAL ENTITIES; BIOLOGICAL PATHWAYS; COMPLEX DATA; FORMAL REPRESENTATIONS; GENE TRANSCRIPTIONS; INDUCTIVE LOGIC PROGRAMMING; INFERENCE RULES; INFORMATION EXTRACTION; INFORMATION EXTRACTION SYSTEMS; MACHINE-LEARNING; MULTI-CLASS; NATURAL LANGUAGE PROCESSING; ONTOLOGY LANGUAGE; RECALL AND PRECISION; RESEARCH ISSUES; SEMANTIC RELATIONS; SPECIFIC INTERACTION;

BACTERIOLOGY; COMPUTATIONAL LINGUISTICS; EDUCATION; INFERENCE ENGINES; INFORMATION ANALYSIS; KNOWLEDGE REPRESENTATION; LAWS AND LEGISLATION; LOGIC PROGRAMMING; NATURAL LANGUAGE PROCESSING SYSTEMS; QUERY LANGUAGES; ROBOT LEARNING; TRANSCRIPTION;

ONTOLOGY;

ARTICLE; BACILLUS SUBTILIS; BIBLIOGRAPHIC DATABASE; DATA EXTRACTION; GENE INTERACTION; INFORMATION RETRIEVAL; MACHINE LEARNING; NATURAL LANGUAGE PROCESSING; ONTOGENY; PRIORITY JOURNAL; RECALL; SEMANTICS; TRANSCRIPTION REGULATION;

BACILLUS SUBTILIS; GENE EXPRESSION REGULATION, BACTERIAL; INFORMATION STORAGE AND RETRIEVAL; NATURAL LANGUAGE PROCESSING;

EID: 71849103383     PISSN: 13865056     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijmedinf.2009.03.005     Document Type: Article

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