WANT: A personal knowledge management system on social software agent technologies
- Authors
- Kim, Hak Lae; Choi, Jae Hwa; Kim, Hong Gee; Hwang, Suk Hyung
- Issue Date
- 2007
- Publisher
- SPRINGER-VERLAG BERLIN
- Citation
- AGENT AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS, PROCEEDINGS, v.4496, pp 785 - +
- Journal Title
- AGENT AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS, PROCEEDINGS
- Volume
- 4496
- Start Page
- 785
- End Page
- +
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65402
- ISSN
- 0302-9743
1611-3349
- 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.
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Collections - College of Social Sciences > Department of Library & Information Science > 1. Journal Articles
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