2022
DOI: 10.24251/hicss.2022.648
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An Ontology-Based Knowledge Modelling for Sustainable Entrepreneurship Domain

Abstract: Sustainable entrepreneurship (SE) focuses on entrepreneurial activities taking into account environmental and social issues, not only by paying attention to economic issues. While the concept of SE is a prominent stream for modern entrepreneurship, the following questions arise: how enterprises can run a business and implement Sustainable Development Goals (SDG) and which factors can support or constrain SE? Research on SE suggests that that identifying and implementing sustainable development opportunity is m… Show more

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Cited by 3 publications
(2 citation statements)
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“…With NLP and Machine Learning development, machine-based knowledge-level modelling has started to explore other domains for ML applications. For example, an ontology-based knowledge modelling framework is proposed in the sustainability assessment domain (Konys, 2018), which has five steps of literature identification, concept extracting, taxonomy construction and ontology construction and finally the ontology validation. The whole process tries to understand how to model the knowledge with a reflected ontology that is not the metadata of the literature document.…”
Section: Knowledge Modellingmentioning
confidence: 99%
“…With NLP and Machine Learning development, machine-based knowledge-level modelling has started to explore other domains for ML applications. For example, an ontology-based knowledge modelling framework is proposed in the sustainability assessment domain (Konys, 2018), which has five steps of literature identification, concept extracting, taxonomy construction and ontology construction and finally the ontology validation. The whole process tries to understand how to model the knowledge with a reflected ontology that is not the metadata of the literature document.…”
Section: Knowledge Modellingmentioning
confidence: 99%
“…In transforming the traditional learning space into a virtual one, one of the most significant problems has been the loss of contact with the engineering environment itself, which is a key aspect of engineering education [36,37]. In addition, the authors of [10] associated educational data mining, processing, and analysis with the term "sustainability", which is present and promoted in most aspects of everyday life, from business operations to manufacturing and the environment [38]. Data mining, the processing of data and eventual interpretation of the results, is a fundamental process that allows researchers to establish the relationship between raw digital data and the assessment of real world conditions [39].…”
Section: Related Workmentioning
confidence: 99%