Agent-based knowledge acquisition

Dieng, Rose; Corby, Olivier; Labidi, Sofiane

doi:10.1007/3-540-58487-0_4

Cited by 11 publications

(4 citation statements)

References 15 publications

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“…Similarly, in organizations people interact (or socialize: Nonaka, 1994) to achieve specific goals. This goal-driven behavior is also studied in the context of multi-agent systems in the area of artificial intelligence (Dieng et al, 1994). Interactions can revolve for example around product design and development, or planning and customer support.…”

Section: Creating Organizational Knowledge That Extends To Online Communitiesmentioning

confidence: 99%

Organizational knowledge generation: lessons from online communities

Zablith

Faraj

Azad

2016

Business Process Management Journal

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Purpose – Knowledge capturing and sharing within an organization have been extensively studied in the literature. In this stream of work, an influential focus is on the process of encoding and managing knowledge to enable effective reuse within the organization. With the advancement of internet and web technologies, there is an increased interest in the study of knowledge flows in online communities. The authors highlight in this paper the fact that the boundaries between internal and external organizational knowledge are disappearing, mainly due to the extensive use of online-based platforms to support organizational operations. The authors believe that this will affect the activities of knowledge management in today’s businesses. The purpose of this paper is to provide guidelines for organizations on how to bridge their internal and external knowledge using an integrated semantic approach. Design/methodology/approach – In this paper the authors review two classes of approaches, those that target internal organizational knowledge, and those that target online knowledge flow processes. Then the authors identify the challenges involved in today’s knowledge environments. To address those challenges, the authors propose a framework to bridge and integrate internal and external organizational knowledge. The authors map the activities handled in the framework to the existing knowledge management activities identified from the literature, and highlight how emerging technologies are used to support such activities along the knowledge management process. The authors apply the approach in the context of an organization’s process that heavily depends on the appropriate alignment of internal and external knowledge. The authors focus on the use of emerging technologies that support collaboration and the generation of explicit and reusable semantics. Findings – Interaction points within organizations can be used to define the scope of knowledge exchanged. Following a methodology around the proposed framework, it is feasible to create conceptual connections around internal and external knowledge through explicit semantics. Such connections that are created to support online communities’ knowledge exchange can be applied to internal organizational knowledge, and used as a bridge to external knowledge sources. Originality/value – The paper provides a roadmap for organizations on how to manage organizational knowledge processes in a coherent and collaborative semantic platform, with a view to what is available outside the boundaries of an organization.

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Section: Creating Organizational Knowledge That Extends To Online Communitiesmentioning

confidence: 99%

Organizational knowledge generation: lessons from online communities

Zablith

Faraj

Azad

2016

Business Process Management Journal

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“…The main role taken by the ontology is that of a mediating mechanism between people alone, people and computational systems, computational systems alone and finally enterprises as a whole. The general model is intended to be further specialized into a set of models to be stored in a library, as advocated also by general MAS knowledge acquisition methodologies like that proposed in [13].…”

Section: The Need Of Organizational Modelsmentioning

confidence: 99%

Towards Cooperative Patient Management Through Organizational and Medical Ontologies

Falasconi

Dazzi²,

Lanzola³

et al. 1998

Methods Inf Med

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Within knowledge and data engineering a new research paradigm is emerging based on the Multi-Agent System (MAS) architectural framework, allowing human and software agents to interoperate and thus cooperate within common application areas. In such a framework, knowledgeable agents of heterogeneous nature, that possess diverse but at least partially compatible or inter-translatable conceptual views, or ontologies, modeling both their own expertise and the external environment, make somehow available their information resources or problem-solving abilities for cooperative processes addressing the construction of a new agent or the achievement of some common goal through a correlated execution of tasks.In this paper, we restrict our analysis to the case of an organization of cognitive agents, illustrated with examples from a prototypical healthcare MAS, that is, a so-called Distributed Healthcare Information System (D-HIS). The prototype makes use of an ontological library written in the standard language Ontolingua. An ongoing application of the methodology to the main problem of Clinical Practice Guidelines (GLs) computer-based dissemination and enforcement is described.

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“…Knowledge required to refine agent models includes (1) knowledge of an agent's priorities with respect to its processes, (2) knowledge of which and how information is exchanged with other agents and the external world, (3) knowledge of how information received from the external world and other agents is to be analysed and 4knowledge of how co-operative an agent is in given situations in relation to other agents. (In [8], other approaches to agent-based knowledge modelling can be found).…”

Section: A Generic Agent Modelmentioning

confidence: 99%