摘要翻译:
Informledge System(ILS)是一个具有自治节点和智能链接的知识网络,它集成和构造了知识片段。本文提出了ILS中知识嵌入和检索的策略。ILS是一个功能强大的知识网络系统,利用自治节点和多侧链路处理信息单元的逻辑存储和连接,形成知识。在ILS中,知识网络节点(KNN)起着至关重要的作用,它不仅用于存储、解析知识点,形成知识点之间的多向链接,而且帮助实现知识形式的链接信息单元的智能检索。内置在ILS中的知识形成了球体的形状。集成到KNN链接中的智能有助于从特定的KNN集合中检索各种知识线程。通过KNN实现的信息的发展实体形成知识锥的形状
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英文标题:
《Knowledge Embedding and Retrieval Strategies in an Informledge System》
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作者:
Dr T.R. Gopalakrishnan Nair, Meenakshi Malhotra
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最新提交年份:
2011
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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:
Informledge System (ILS) is a knowledge network with autonomous nodes and intelligent links that integrate and structure the pieces of knowledge. In this paper, we put forward the strategies for knowledge embedding and retrieval in an ILS. ILS is a powerful knowledge network system dealing with logical storage and connectivity of information units to form knowledge using autonomous nodes and multi-lateral links. In ILS, the autonomous nodes known as Knowledge Network Nodes (KNN)s play vital roles which are not only used in storage, parsing and in forming the multi-lateral linkages between knowledge points but also in helping the realization of intelligent retrieval of linked information units in the form of knowledge. Knowledge built in to the ILS forms the shape of sphere. The intelligence incorporated into the links of a KNN helps in retrieving various knowledge threads from a specific set of KNNs. A developed entity of information realized through KNN forms in to the shape of a knowledge cone
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PDF链接:
https://arxiv.org/pdf/1107.1950