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Intelligent Search Engine Based on Formal Concept Analysis

机译:基于正式概念分析的智能搜索引擎

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Due to most query technique in Chinese infor- mation retrieval is based on keyword matching, existing Search Engines return excessive information. So there are those directions that future search engines are pursuing to, such as how to express the information requirement, how to lay out and browse the information structure, and how to build individuated and intelligent model based on information requirement etc. Therefore, intelligent search engine based on conceptual relations is the best way to answer for the need of information retrieval. In this paper we put forward an intelligent search engine which Information Retrieval model is found on formal context of FCA (Formal Concept Analysis) and incorporates with a browsing mechanism for such a system based on the concept lattice. Test data validates its feasibility, and implement of the FCA-search engine indicates that the concept lattice of FCA is a useful way of supporting the flexible management of documents according to conceptual relation.
机译:由于中国信息检索最查询技术是基于关键字的匹配,现有的搜索引擎返回信息过多。因此,有这些方向,未来的搜索引擎正在谋求,比如如何表达的信息需求,如何布局和浏览信息的结构,以及如何建立个体化,并根据信息需求等智能机型。因此,智能搜索基于概念关系的发动机是回答的必要信息检索的最佳方式。在本文中,我们提出了一种信息检索模型上(形式概念分析)FCA正​​式上下文中找到并用浏览机制基于概念格这样的系统集成了一个智能搜索引擎。试验数据验证了其可行性和FCA的搜索引擎的实现表明,FCA的概念格是根据概念关系支持的文件灵活的管理的有效途径。

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