WANT: A Personal Knowledge Management System on Social Software Agent Technologies
DOI: 10.1007/978-3-540-72830-6_82 Conference: Agent and Multi-Agent Systems: Technologies and Applications, First KES International Symposium, KES-AMSTA 2007, Wroclaw, Poland, May 31- June 1, 2007, Proceedings
A multi-agent system is a network individual agent that work together to achieve a goal through communication and collaboration
among each other. Standardized infrastructure for information or knowledge sharing is required to make autonomous agents interdependent
on each other for effective collaboration in a multi-agent system. In order to enhance productivity of knowledge workers knowledge
management tools should support collaborative environments among desktop, web, and even mobile devices. The Semantic Web is
the place where software agents perform various intelligent tasks using standard knowledge representational schemes that are
named “ontologies.” This paper presents a conceptual framework of the social knowledge activities and knowledge processes
with regard to the social software agents. Our prototype, called WANT, is a wiki-based semantic tagging system for collaborative
and communicative knowledge creation and maintenance by a human or software agent. It can be supported in both desktop and
Available from: Shahrinaz Ismail
- "Apart from the common KM system that is widely proposed since the beginning of the second millennium, more tools and technologies are introduced to assist and mediate individual knowledge workers in managing their personal knowledge. Amongst the few latest introductions of PKM tools in agent intelligence domain include an agent-based PKM system supported by mobile technology cross-platform solution (Osis and Grundspenkis, 2012) and a PKM system on social software agent technologies called WANT (Kim et al., 2007). However, in the context of the worldwide application of tools and technologies, there is still some doubt in their possible implementation to fit the purposes and styles of managing personal knowledge in the eastern side of the world since most of these technicalities are proposed based on research conducted in the western world. "
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ABSTRACT: Purpose ‐ A pattern of personal intelligence is seen emerging from the concept of agent-mediated personal knowledge management (PKM) in achieving collective organisational goals. The purpose of this paper is to present the results of surveys undertaken to prove this emergence.Design/methodology/approach ‐ A quantitative analysis supported by a qualitative analysis was conducted across three main industries in Malaysia, namely manufacturing, service and education. The triangulation of analysis is based on the four proposed hypotheses.Findings ‐ From these analyses, it was discovered that the emergence of personal intelligence is embedded within the collaborative interactions amongst software agents, and between agents and human knowledge workers. All the hypotheses are supported by the results of the surveys which manifest organisational knowledge management (OKM) practices as a consequence of the agent-mediated PKM processes.Research limitations/implications ‐ This research focused on the PKM in Malaysia, where the level of KM implementation varies among the organisations. The results may not reflect other developing countries due to the socio-cultural differences amongst the knowledge workers.Practical implications ‐ The results from this paper can be used either to relook and reanalyse the existing organisational KM system or to plan and design a KM system for organisations that have not implemented any.Originality/value ‐ The focus on personal intelligence and agent-mediated PKM contribute to further development of agent-based system that animates these theories in the real working environment.
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ABSTRACT: Knowledge plays a major role in enterprises, given its importance as a significant organizational asset. In order to solve problems and support complex decision-making processes, knowledge and experience have to be transmitted between diverse individuals and organizations. Thus, knowledge-sharing can be considered a fundamental element in any knowledge-oriented process, because it fosters collaboration, and facilitates experiential knowledge discovery, distribution, and use. We present the E-Decisional Community, a proposal for an integrated knowledge-sharing platform where several entities are able to share experiential knowledge. Its main concern is to promote experiential knowledge evolution and sharing through generations of decision makers, aiming at the creation of a marketplace where knowledge is provided as a service.
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ABSTRACT: Purpose – Social software emerges as an important and effective tool for customer knowledge management (CKM). However, the supporting role of social software in CKM is not well understood. This paper aims to bridge the gap by studying the implementation of social software to effectively manage customer knowledge assets. Design/methodology/approach – The paper analytically models and investigates the optimal level of social software for a firm who maximizes its transactional benefits through managing a consumer knowledge system. The system consists of a customer knowledge base and social software that dynamically affects the customer knowledge base through customers' interactions. Findings – The paper shows that the optimal level of social software can be obtained under certain conditions and how the level changes with the initial index of customer knowledge base, transactional benefits, and the positive and negative effects of the social software. In addition, it provides guidelines to implement social software based on the analytical results. Originality/value – This research provides valuable insights and guidance for the practicing manager and lays the foundation for future research on social software and CKM.
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