WANT: A Personal Knowledge Management System on Social Software Agent Technologies

Conference Paper · May 2007with14 Reads
DOI: 10.1007/978-3-540-72830-6_82 · Source: DBLP
Conference: Agent and Multi-Agent Systems: Technologies and Applications, First KES International Symposium, KES-AMSTA 2007, Wroclaw, Poland, May 31- June 1, 2007, Proceedings
Abstract

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 mobile environments.

    • "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. "
    [Show abstract] [Hide abstract] 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.
    Full-text · Article · Oct 2013 · Journal of Knowledge Management
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    • "As mentioned by Van Elst et al. (2004), knowledge distribution, low-priority KM goals, complex interactions and dynamic environments are some characteristics that justify the use of agents in knowledge management solutions. Previous work on KM based on agents was concerned with text mining, automated suggestions and smart document access (De Rezende et al., 2007;Kim et al., 2007), Distributed Organizational Memories (Abecker et al., 2003;Gandon and Dieng-Kuntz, 2002), agent-based architectures (Vizcaino et al., 2007), and use of ontologies in Multi-Agent Systems (MAS) among others. However, to the best of our knowledge, existing proposals do not address experiential knowledge representation, management, evolution and distribution in the way the SKMS does using SOEKS and Decisional DNA. "
    [Show abstract] [Hide abstract] ABSTRACT: Knowledge Management (KM) has become a key success factor in diverse fields, given the importance ofknowledge as a significant organizational asset. In orderto solve problems and support complex decision-making processes, knowledge and experience have to be transmitted across individuals, business units and organizations. Thus, Knowledge Sharing (KS) can be considered as the basic element of any knowledgeoriented process: KS fosters collaboration in complex environments, and facilitates experiential knowledge discovery, distribution and use. This paper presents a proposal for the development of a Community of Practice (CoP) called the E-Decisional Community. This community uses a domain-independent knowledge representation called Set of Experience Knowledge Structure (SOEKS), and captures the decisional fingerprint inside organizations using Decisional DNA. It is based on principles from different technologies namely Software Agents, Grid and Cloud computing, in order to provide an autonomous, intelligent and coordinated largescale KS environment. The E-Decisional Community biggest concern is to promote experiential knowledge evolution and sharing through generations of decisionmakers, aiming at the creation of a marketplace where knowledge is provided as a service.
    Full-text · Conference Paper · Jan 2010
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  • [Show abstract] [Hide abstract] ABSTRACT: It is frequently noted that nowadays is the age of information. Despite vast amounts of information knowledge becomes the most important asset for individuals and organizations. Thus knowledge more increasingly has been seen as an active area of research. Accordingly there is a need for highly qualified knowledge workers, which in this paper are represented by instructors or regular students in university environment. That in turn leads to a necessity for on an effective technology based education environment adaptable to each individual. Thus existing personal knowledge management (PKM) tools and systems are explored. Working and education environments are developing and encompassing new technologies such as mobile and agent technologies. Mobile technologies are developing with an accelerating speed. They are providing new opportunities for different type of learning and for different learning environment support. In the market there are a wide variety of mobile devices such as mobile phones, personal digital assistants, smart phones, netbooks, tablet personal computers and laptops. This poses a challenge for common application development for these devices. Many mobile devices have a built-in support for Java applications. Also agent technology is ready to be deployed on mobile devices. Both points can be used as a key unifying factor for cross platform mobile device application development. Thus the central point of the paper is a conceptual modular personal knowledge management system (PKMS) based on mobile technology cross-platform solution. This work includes a case study at Vidzeme University of Applied Sciences to develop a prototype for enhancing learning environment support and a course grading system.
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