Time-sensitive inventory of medical terminology Medical inventory ID: 21.11115/0000-000B-D37A-E This inventory contains a set of terms that are relevant to the study of medical history.
The inventory is organised as a set of "heading terms", belonging to one of seven different semantic categories, each of which is accompanied by a set of semantically-related terms. There are around 175,000 heading terms.
The nature of the semantic relationship holding between the heading term and each related term varies. A pair of related terms may, for example be synonyms of each other, one term may be more or less specific than the other, one may be a part of the other, one may be used in the treatment of the other, etc.
Available - Restricted Use
Licence CC - BY Restrictions: Attribution
Attribution Details: The time-sensitive terminological resource was developed by the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester.
Please attribute NaCTeM and cite the follwing article:
Paul Thompson, Riza Theresa Batista-Navarro, Georgios Kontonatsios, Jacob Carter, Elizabeth Toon, John McNaught, Carsten Timmermann, Michael Worboys and Sophia Ananiadou (2015). Text Mining the History of Medicine. PLOS ONE.
Distribution Access/Medium: Downloadable
Distribution rights holders: IPR Holder Contact Person Lexical Conceptual Resource General Information Terminological Resource Encoding Encoding level: Semantics
Linguistic information: Semantics - Relations
Creation Creation mode: Automatic
Creation mode details: Distributional semantics
Original Sources British Medical Journal London area Medical Officer of Health Reports Monolingual text lexicalConceptualResource Languages
Linguality Linguality type: Monolingual
Size Metadata Created: 10/13/2015
Last Updated: 10/13/2015
Version Usage Foreseen Use Nlp Applications Use NLP Specific: Information Extraction, Information Retrieval, Knowledge Discovery, Lexicon Enhancement, Natural Language Understanding, Question Answering, Terminology Extraction, Text Mining
Actual Use - Nlp Applications Use NLP Specific: Information Retrieval
Details: Assisted query expansion in semantic search system for history of medicine
Derived Resources Used in (MHM)
Mining the History of Medicine Funding Type: National Funds
Funding Country: United Kingdom
Project duration: 01/01/2014 - 03/31/2015
Documentation Tool Documentation: Manual
Document Type: Manual
Time-sensitive inventory of medical terminology http://www.nac...
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