An ontology knowledge inspection methodology for quality assessment and continuous improvement
نویسندگان
چکیده
Ontology-learning methods were introduced in the knowledge engineering area to automatically build ontologies from natural language texts related a domain. Despite initial appeal of these methods, generated may have errors, inconsistencies, and poor design quality, all which must be manually fixed, order maintain validity usefulness automated output. In this work, we propose methodology assess quality (quantitatively graphically) fix ontology inconsistencies minimizing defects. The proposed is based on Deming cycle grounded standards that proved effective software domain present high potential extended management. This paper demonstrates assessment approaches techniques can successfully applied ontology-fixing improvement problem. was validated testing ontology, by comparison between created ontology.
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ژورنال
عنوان ژورنال: Data and Knowledge Engineering
سال: 2021
ISSN: ['1872-6933', '0169-023X']
DOI: https://doi.org/10.1016/j.datak.2021.101889