Abstract
Currently, the available architectures for knowledge management are mainly centralized and focus on basic string processing in essence. They tend to ignore that knowledge is distributed and full of semantics in and among complex knowledge-based organizations. Distributed knowledge management appears to solve the issues of distributed knowledge resources. Meanwhile, ontological engineering, which aims at describing the semantics for the knowledge or information, has been increasingly used in artificial intelligence and business in the past several years. Taking this into consideration, an architecture of distributed knowledge management, towards semantic interoperation (SiDKM) by introducing ontological engineering theory and multi-agent system (MAS) for distributed knowledge resources, is proposed in this paper. This architecture involves almost all the core modules in the knowledge management process, and can process large amounts of heterogeneous and distributed knowledge, which enables efficient knowledge sharing, reuse and evolution.
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Wang, Y., Wu, J., Wang, Z., Dang, Y. (2007). Distributed Knowledge Management Based on Ontological Engineering and Multi-Agent System Towards Semantic Interoperation. In: Zhang, Z., Siekmann, J. (eds) Knowledge Science, Engineering and Management. KSEM 2007. Lecture Notes in Computer Science(), vol 4798. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76719-0_40
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DOI: https://doi.org/10.1007/978-3-540-76719-0_40
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