KAMET: A comprehensive methodology for knowledge acquisition from multiple knowledge sources

Modeling of tacit knowledge in industry: Simulations on the variables of industrial processes

“…In the present study, the 5 techniques will be reported in Sections 2.3.1-2.3.5. Cairo (1998), Hoffman (1987, Hoffman et al (1995), Tang et al (2008) and Kim et al (2011) wrote that the knowledge acquisition is the main activity in management of knowledge-based systems (KBS), as well as any most critical system stage and its bottleneck. Therefore, it is essential to investigate where and how the process agents access and acquire the necessary knowledge.…”

“…A source of group knowledge refers to the exchange of ideas among multiple providers where the receivers are able to access and obtain knowledge from the group in a public or open conversation through a Q&A system or through work teams. Cairo (1998) out the necessity of researches focused on knowledge acquisition, in other words, models developed to manage the acquisition and modeling knowledge process. Models for knowledge acquisition must provide tools in order to structure the researcher forms of reasoning, which are responsible for eliciting the knowledge Cairo (1998), Hoffman (1987, Hoffman et al (1995) and Cairo (1998) point out nine distinct ways for knowledge elicitation.…”

“…Cairo (1998) out the necessity of researches focused on knowledge acquisition, in other words, models developed to manage the acquisition and modeling knowledge process. Models for knowledge acquisition must provide tools in order to structure the researcher forms of reasoning, which are responsible for eliciting the knowledge Cairo (1998), Hoffman (1987, Hoffman et al (1995) and Cairo (1998) point out nine distinct ways for knowledge elicitation. They are: structured interviewing, unstructured interviewing, card sorting, triadic comparison, repertory grids, observation, limited information, verbal reporting and protocol analysis.…”

“…The state of the art about how is made knowledge acquisition Wright (1987), Hoffman (1987), Liou (1990), Cooke (1994), Hoffman, Shadbolt, Mike, and Klein (1995), Cairo (1998), Tang, Jifeng, and MacLachlan (2008), Kim (2014), Schreiber et al (2000), Alwis and Hartmann (2008), Pitchforth and Kerrie (2013), Oguz and Sengun (2011), Lemos (2012), Kim, Song, and Jones (2011) and Kim (2014) pursued during the preparation of this study, has shown that there is not a methodology to mapping and elicitation for the of tacit knowledge acquisition in industry, but rather the use of knowledge elicitation techniques used in isolation, without a logical sequence and objective oriented to analysis and problem solving. The methodology has been created based on a systemic approach, which is used in the observation process of complex phenomena in the industry.…”

Dynamic EMCUD for knowledge acquisition

“…In the past decades, many KA systems, e.g., ETS (Boose, 1984(Boose, , 1985, NeoETS (Boose & Bradshaw, 1986), AQUINS (Boose & Bradshaw, 1987), KITTEN (Shaw & Gaines, 1987), RuleCons (Davis, 1987), MOLE (Eshelman, Ehret, McDermott, & Tan, 1987), KSSO (Gaines, 1987), KRITON (Diederich, Ruhmann, & May, 1987), EMCUD (Hwang & Tseng, 1990;Hwang & Tseng, 1991), KADS (Wielinga et al, 1992), MCRDR (Kang, 1996), KAMET (Cairo, 1998), MedFrame/CADIAG-IV (Boegl, 1997;Kolousek, 1997;Leitich et al, 2001), (Pan, Zheng, Zeng, & Hu, 2002) have been developed to rapidly build prototypes and improve the quality of the elicited static knowledge of well-known objects by domain experts. However, most of them cannot be used to construct the dynamic knowledge due to the limitation of the static attribute set of the static grid in a dynamic environment.…”