摘要翻译:
知识经济迫使一个国家的企业为了保持在世界市场上的竞争力而聚集在一起。集群的发展依赖于两个关键的成功因素,即集群中行为者之间的知识共享和协作。因此,我们的研究试图提出知识管理系统来支持集群内的知识管理活动。为了实现本研究的目标,本体以各种方式在知识管理过程中发挥着非常重要的作用;例如建立可重用的、更快的知识库,更好地显式地表示知识。然而,由于知识来源的模糊性和非结构化,本体的创建和表示给组织带来了困难。因此,本文的目标是利用知识工程的方法,提出一种面向组织发展的本体的创建和表示方法。以泰国手工业集群为例,说明我们提出的方法。
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英文标题:
《An Ontology-based Knowledge Management System for Industry Clusters》
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作者:
Pradorn Sureephong (LIESP, CAMT), Nopasit Chakpitak (CAMT), Yacine
Ouzrout (LIESP), Abdelaziz Bouras (LIESP)
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最新提交年份:
2008
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分类信息:
一级分类:Computer Science 计算机科学
二级分类:Artificial Intelligence 人工智能
分类描述:Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域,除了视觉、机器人、机器学习、多智能体系统以及计算和语言(自然语言处理),这些领域有独立的学科领域。特别地,包括专家系统,定理证明(尽管这可能与计算机科学中的逻辑重叠),知识表示,规划,和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要:
Knowledge-based economy forces companies in the nation to group together as a cluster in order to maintain their competitiveness in the world market. The cluster development relies on two key success factors which are knowledge sharing and collaboration between the actors in the cluster. Thus, our study tries to propose knowledge management system to support knowledge management activities within the cluster. To achieve the objectives of this study, ontology takes a very important role in knowledge management process in various ways; such as building reusable and faster knowledge-bases, better way for representing the knowledge explicitly. However, creating and representing ontology create difficulties to organization due to the ambiguity and unstructured of source of knowledge. Therefore, the objectives of this paper are to propose the methodology to create and represent ontology for the organization development by using knowledge engineering approach. The handicraft cluster in Thailand is used as a case study to illustrate our proposed methodology.
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PDF链接:
https://arxiv.org/pdf/0806.0526


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