ORIGINAL ARTICLE
Development methodologies for ontology-based knowledge management systems: A review
Manuel Mora,
Fen Wang,
Jorge Marx Gómez,
Gloria Phillips-Wren,
Corresponding Author
Manuel Mora
Department of Information Systems, Autonomous University of Aguascalientes, Aguascalientes, Mexico
Correspondence
Manuel Mora, Department of Information Systems, Autonomous University of Aguascalientes, Aguascalientes, Mexico.
Email: [email protected]
Search for more papers by this authorFen Wang
Information Technology & Administrative Management Department, Central Washington University, Ellensburg, Washington, USA
Search for more papers by this authorJorge Marx Gómez
Department of Informatics, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
Search for more papers by this authorGloria Phillips-Wren
Information Systems and Operations Management, Loyola University Maryland, Baltimore, Maryland, USA
Search for more papers by this authorManuel Mora,
Fen Wang,
Jorge Marx Gómez,
Gloria Phillips-Wren,
Corresponding Author
Manuel Mora
Department of Information Systems, Autonomous University of Aguascalientes, Aguascalientes, Mexico
Correspondence
Manuel Mora, Department of Information Systems, Autonomous University of Aguascalientes, Aguascalientes, Mexico.
Email: [email protected]
Search for more papers by this authorFen Wang
Information Technology & Administrative Management Department, Central Washington University, Ellensburg, Washington, USA
Search for more papers by this authorJorge Marx Gómez
Department of Informatics, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
Search for more papers by this authorGloria Phillips-Wren
Information Systems and Operations Management, Loyola University Maryland, Baltimore, Maryland, USA
Search for more papers by this authorAbstract
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.
CONFLICT OF INTEREST
The authors declare no conflict of interest.
Open Research
DATA AVAILABILITY STATEMENT
The materials used in this research as raw data are the available digital documents on the OKMS methodologies and the ISO/IEC 15288:2015 standard. All of them are reported in the list of References (CommonKADS (Schreiber et al., 1994, 1999), Methontology (Fernandez-Lopez et al., 1998, 1999), On-To-Knowledge Methodology (Staab et al., 2001; Sure et al., 2004), NeON (Muñoz-García et al., 2009; Suarez-Figueroa et al., 2012, 2015), and Agile eXtreme Design Methodology (XDM) (Blomqvist et al., 2012, 2016), ISO/IEC/IEEE 15288:2015 (ISO/IEC/IEEE, 2015)). Intermediate data are reported in the Appendix.
Supporting Information
| Filename | Description |
|---|---|
| exsy-12851-sup-0001-datas1.docxWord 2007 document , 63.5 KB | Data S1 Supporting Information |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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