Abstraction networks for terminologies: Supporting management of "big knowledge"

Artificial Intelligence in Medicine

Volumn 64, Issue 1, 2015, Pages 1-16

  Halper, Michael ^a   Gu, Huanying ^b   Perl, Yehoshua ^c   Ochs, Christopher ^c  

^a NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

^b NEW YORK INSTITUTE OF TECHNOLOGY   (United States)

^c New Jersey Institute of Technology   (United States)

Author keywords

Big knowledge; Biomedical terminology modeling; Disjoint abstraction network; Terminology abstraction network; Terminology meta abstraction network; Terminology visualization

Indexed keywords

COMPLEX NETWORKS; MAINTENANCE; MEDICAL EDUCATION; MEDICAL INFORMATION SYSTEMS; MEDICINE; QUALITY ASSURANCE; SURVEYS; TERMINOLOGY; VISUALIZATION;

BIG KNOWLEDGE; KNOWLEDGE STRUCTURES; LEVEL OF ABSTRACTION; METHODS AND MATERIALS; NETWORK CHARACTERISTICS; TERMINOLOGICAL SYSTEMS; TERMINOLOGY MODELS; UNIFIED MEDICAL LANGUAGE SYSTEMS;

ABSTRACTING;

BIBLIOGRAPHIC DATABASE; DOCUMENTATION; HUMAN; MEDICAL ENTITIES DICTIONARY; MEDICAL INFORMATION SYSTEM; MEDICAL TERMINOLOGY; PRIORITY JOURNAL; QUALITY CONTROL; REVIEW; SEMANTICS; SYSTEMATIZED NOMENCLATURE OF MEDICINE; TAXONOMY; UNIFIED MEDICAL LANGUAGE SYSTEM; ARTIFICIAL NEURAL NETWORK; CONTROLLED VOCABULARY; MEDICAL INFORMATICS; ORGANIZATION AND MANAGEMENT;

HEALTH INFORMATION MANAGEMENT; MEDICAL INFORMATICS; NEURAL NETWORKS (COMPUTER); VOCABULARY, CONTROLLED;

EID: 84930091809     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2015.03.005     Document Type: Review

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