Intelligent Search Engine Based on Formal Concept Analysis

Due to most query technique in Chinese information 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.