Building of concept system to improve systematic collection of terminology

Vineta Arnicane; Guntis Arnicans; Juris Borzovs

doi:10.3233/978-1-61499-714-6-313

Building of concept system to improve systematic collection of terminology

Vineta Arnicane^*
, Guntis Arnicans
, Juris Borzovs

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

Authors propose an experimental tool for analysis and graphical representation of glossaries. The original heuristic algorithms and analysis methods incorporated into the tool GlossToolset appeared to be useful to improve the quality of the glossaries. The GlossToolset generates concept system with various representations. Authors analyze a glossary ISTQB Standard Glossary of Terms Used in Software Testing. There are instances of problems found in ISTQB glossary related to its consistency, completeness, and correctness described in the paper.

Original language	English
Pages (from-to)	313-326
Number of pages	14
Journal	Frontiers in Artificial Intelligence and Applications
Volume	291
DOIs	https://doi.org/10.3233/978-1-61499-714-6-313
Publication status	Published - 2016

Keywords

Concept map
Glossary
Graphs
Heuristic algorithms
Quality
Software testing

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10.3233/978-1-61499-714-6-313

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AU - Arnicans, Guntis

AU - Borzovs, Juris

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KW - Concept map

KW - Glossary

KW - Graphs

KW - Heuristic algorithms

KW - Quality

KW - Software testing

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JO - Frontiers in Artificial Intelligence and Applications

JF - Frontiers in Artificial Intelligence and Applications

ER -

Building of concept system to improve systematic collection of terminology

Abstract

Keywords

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