Reflections on 25+ years of knowledge acquisition

Wielinga, B.J.

doi:10.1016/j.ijhcs.2012.10.007

Cited by 9 publications

(2 citation statements)

References 49 publications

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“…For developing real‐world OKMSs required in business organizations (i.e., no laboratory‐based prototypes), several potential development methodologies have been reported. However, the successful deployments of real‐world OKMSs have been characterized as a difficult project and technical endeavour (Feilmayr & Wöß, 2016; Liebowitz, 2016; O'Leary, 2018; Wielinga, 2009).…”

Section: Discussionmentioning

confidence: 99%

“…On the technical systems engineering side, OKMSs have been required to include both tacit knowledge (i.e., usually via black‐box numerical models) and explicit knowledge (i.e., usually via white‐box logical formalisms) that are hard to discover or elicit (Wielinga, 2009). Additionally, managing knowledge extracted from business data in any field has proven to be elusive as sources and types of data have grown exponentially in volume, variety, velocity, scope, and accessibility (O'Leary, 2018).…”

Section: Discussionmentioning

confidence: 99%

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Development methodologies for ontology‐based knowledge management systems: A review

et al. 2021

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Knowledge management systems (KMS) are computer‐based systems highly valued in business organizations because they support knowledge management (KM) processes. Most KMS have been developed using non‐intelligent computer technology—that is, DMS, CMS, DBMS, and CIS—, and thus, they cannot provide advanced capabilities. Consequently, enhanced KMS using intelligent technologies of ontologies with inference engines—called ontology‐based knowledge management systems (OKMS)—have been proposed in the last three decades. Nowadays, however, the implementation of OKMS in real‐world settings is still scarce. Lack of comprehensive and systematic development methodologies including Project Management and Technical Systems Engineering processes—as the Systems and Software Systems Engineering standards propose—have been suggested as a factor that inhibits OKMS implementations. In this study, we review the OKMS literature (1990–2021 period)—from six seminal studies located using a research search engine—to assess OKMS development methodologies that can be considered comprehensive and systematic. Five methodologies were identified and assessed using an evaluation subset from the ISO/IEC/IEEE 15288:2015 Systems and Software Engineering standard. Two of them—CommonKADS and NeON—were found with a high comprehensive and systematic level and both are suggested for organizations interested in OKMS implementations, but none of them qualified as agile, which is a current development approach for systems and software systems. Hence, further empirical research toward the realization of comprehensive and systematic OKMSs development methodologies, including agile versions, is suggested for fostering the implementation of OKMS in real‐world settings.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Development methodologies for ontology‐based knowledge management systems: A review

et al. 2021

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From the knowledge acquisition bottleneck to the knowledge acquisition overflow: A brief French history of knowledge acquisition

Aussenac-Gilles

Gandon

2013

International Journal of Human-Computer Studies

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This article is an account of the evolution of the French-speaking research community on knowledge acquisition and knowledge modelling echoing the complex and cross-disciplinary trajectory of the field. In particular, it reports the most significant steps in the parallel evolution of the web and the knowledge acquisition paradigm, which finally converged with the project of a semantic web. As a consequence of the huge amount of available data in the web, a paradigm shift occurred in the domain, from knowledge-intensive problem solving to large-scale data acquisition and management. We also pay a tribute to Rose Dieng, one of the pioneers of this research community.

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The knowledge acquisition workshops: A remarkable convergence of ideas

Musen¹

2013

International Journal of Human-Computer Studies

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Reflections on 25+ years of knowledge acquisition

Cited by 9 publications

References 49 publications

Development methodologies for ontology‐based knowledge management systems: A review

Development methodologies for ontology‐based knowledge management systems: A review

From the knowledge acquisition bottleneck to the knowledge acquisition overflow: A brief French history of knowledge acquisition

The knowledge acquisition workshops: A remarkable convergence of ideas

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