A novel agile ontology engineering methodology for supporting organizations in collaborative ontology development

被引:8
|
作者
Spoladore, Daniele [1 ,2 ,4 ]
Pessot, Elena [1 ,3 ]
Trombetta, Alberto [2 ]
机构
[1] Natl Res Council Italy, Inst Intelligent Ind Technol & Syst Adv Mfg, Via Alfonso Corti 12, I-20133 Milan, Italy
[2] Insubria Univ, Dept Pure & Appl Sci, Via Ottorino Rossi 9, I-21100 Varese, Italy
[3] Univ Siena, Dept Informat Engn & Math, Via Roma 56, I-53100 Siena, Italy
[4] Natl Res Council Italy CNR, Inst Intelligent Ind Technol & Syst Adv Mfg STIIMA, Via Alfonso Corti 12, I-20133 Milan, Italy
关键词
Ontology Engineering; Ontology Authoring; Agile Ontology Development Methodology; Knowledge Engineering; Industry; 4; 0; METHONTOLOGY; STATE; HCOME;
D O I
10.1016/j.compind.2023.103979
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Ontologies can represent technological enablers for knowledge elicitation and management in different kinds of organizations, especially with the exponential growth of sources and types of data fostered by digital trans-formation. However, their adoption in business applications is still limited, with existing Ontology Engineering Methodologies (OEMs) lacking adequate support during knowledge elicitation, authoring and reuse phases. This paper introduces a novel agile ontology engineering methodology (AgiSCOnt) to support ontologists (especially novice ones) in ontology development workflow, fostering collaboration with domain experts in an iterative, flexible and customizable approach. AgiSCOnt combines macro-level instructions with micro-level guidance, leveraging existing techniques and a management framework to help novice ontologists throughout the whole ontology engineering process. The methodology is compared to existing OEMs and assessed with three other agile methodologies (UPONLite, SAMOD, and RapidOWL). The evaluation is conducted with a sample of novice ontologists in a learning environment on Industry 4.0 technologies. Both the development process with a methodology from a user perspective and the quality of the developed ontologies were considered in the eval-uation. Preliminary results show that AgiSCOnt effectively supports authoring and reuse, with developed on-tologies of good quality. It is perceived as clear and simple, while being flexible and adaptable enough, thus supporting knowledge management and sharing in industrial organizations through the documentation of the ontologies.
引用
收藏
页数:19
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