Informatics and Applications
2021, Volume 15, Issue 3, pp 83-90
FORMS REPRESENTING NEW KNOWLEDGE DISCOVERED IN TEXTS
Abstract
The model of goal-oriented discovery of new knowledge by a team of experts in texts and the forms of its representation in linguistic typologies and term dictionaries ofmedical knowledge bases are considered. The usage ofthe model is illustrated by two examples: the discovery ofnew knowledge about the meanings ofGerman modal verbs in parallel texts and about the meanings of terms in medical documents. The process of discovering new knowledge is based on linguistic annotation of texts performed by experts. The main goal of annotation is to enrich typologies with headings or, accordingly, augment knowledge bases with terms that meet the specified criterion of novelty, are agreed on within the team of experts, and represent the discovered knowledge. The model includes the coordination of experts' understanding of both the discovered knowledge and the forms of its representation. In the example of the term dictionary of a medical knowledge base, three forms are used: a new term, a changed definition of an existing term without increasing the number of its meanings, and an enlarged definition of an existing term with its new meanings.
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[+] About this article
Title
FORMS REPRESENTING NEW KNOWLEDGE DISCOVERED IN TEXTS
Journal
Informatics and Applications
2021, Volume 15, Issue 3, pp 83-90
Cover Date
2021-09-30
DOI
10.14357/19922264210311
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
discovery of knowledge in texts; ITO model; concept; heading; term; contextual meaning; German modal verbs; typology; medical knowledge base
Authors
I. M. Zatsman
Author Affiliations
Institute of Informatics Problems, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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