PubMed Health⌕ Search

PubMed · 15360851

Logical support for terminological modeling.

Abstract

Terminological modeling, in particular in medical domains, is difficult and has enjoyed growing attention over the recent past. In practice, logical reasoning can play a fundamental role to support the modeling process. Nevertheless, the development of the logical tools is usually driven by computational or theoretical criteria rather than by the direct needs of a modeler. In this paper we attempt to shift this balance and discuss a number of logical reasoning services to support the modeler of a (medical) terminology to construct a formally sound, complete and concise terminology. This modeling support is logical as it is based on reasoning services with respect to formally defined semantics. Practical results of this systematic discussion are formal definitions of several new reasoning tasks.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Stefan Schlobach, Ronald Cornet. 2004. Logical support for terminological modeling.. https://pubmed.ncbi.nlm.nih.gov/15360851/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

[Nursing informatics: a new nursing specialty].

It is important to take advantage of advancements in information technology, computers, and the Internet to analyze, manage, and process nursing data to improve the delivery of high quality patient care. Nursing informatics (NI)--which combines nursing, computer, and information sciences--has been recognized as a nursing specialty in the United States since 1992, but is still considered a very new field in Taiwan. The authors introduce the concept by offering a definition of NI and giving descriptions of NI practices, education, and professional groups. The goal is to provide Taiwanese nurses with an informative overview of this specialty.

Information Science↗

A corpus driven approach applying the "frame semantic" method for modeling functional status terminology.

In an effort to unearth semantic models that could prove fruitful to functional-status terminology development we applied the "frame semantic" method, derived from the linguistic theory of thematic roles currently exemplified in the Berkeley "FrameNet" Project. Full descriptive sentences with functional-status conceptual meaning were derived from structured content within a corpus of questionnaire assessment instruments commonly used in clinical practice for functional-status assessment. Syntactic components in those sentences were delineated through manual annotation and mark-up. The annotated syntactic constituents were tagged as frame elements according to their semantic role within the context of the derived functional-status expression. Through this process generalizable "semantic frames" were elaborated with recurring "frame elements". The "frame semantic" method as an approach to rendering semantic models for functional-status terminology development and its use as a basis for machine recognition of functional status data in clinical narratives are discussed.

Information Science↗