使用基于案例推理的XML文档推荐

2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Pub Date : 2010-06-09 DOI:10.1109/SNPD.2010.29

Sutheetutt Vacharaskunee, Sarun Intakosum

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引用次数: 2

摘要

基于案例的推理(Case Based Reasoning, CBR)是在前人类似问题的解的基础上解决新问题的过程。XML是一种标记语言，它允许文档所有者以自己的格式描述数据。同样的信息可能以不同的方式被描述。这使得从不同格式搜索这些信息变得困难。CXDR (XML文档推荐的CBR)是一种简化XML文档搜索的思想。CXDR应用CBR框架收集最常用的XML文档，并将其推荐给用户。CXDR中的CBR由案例和知识两部分组成。案例是XML文档，知识是XML文档推荐。来自CXDR的建议是使用最多的XML元素名称和结构。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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XML Document Recommendation by Using Case Based Reasoning

Case Based Reasoning (CBR) is the process of solving new problem based on the solutions of similar previous problems. XML is a markup language that allows document owners describe their data in their own formats. There might be the same information has been described in various ways. This makes searching those information from different formats difficult. CXDR (CBR for XML Document Recommendation) is an idea to make searching XML documents easier. CXDR applies CBR framework to collect the mostly use XML document and recommend it to its user. CBR in CXDR consists of two parts, cases and knowledge. The case is XML documents and the knowledge is an XML document recommendation. The recommendation from CXDR is the most use XML element names and structure.

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2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

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