| At present, the returned search results by search engines are in a great quantity; however, what users need are only few of them. This makes it more and more difficult for people to obtain the needed information accurately, and then makes the information search technology develop further. The study focus of our work is to provide more confined and customized search results for users by studying the search engine navigation system.The navigation of search results is an important way for users to gain the results they need and to narrow search scope effectively. In this paper, the study of the navigation system is to build a system of clear categorization so that users can make full use of search results and build relations between search results; and to provide the simplest and the most accurate abstract so that users can get the information quickly and then judge the value of web pages. Through the navigation of search results, users can gain the search results they need more quickly and the search scope is also narrowed effectively.Based on this idea, the following studies are made in this paper:By using FCA the search results are processed for the second time, during which a categorization system is built to organize these results. In this system, documents are the object while lattices are made with the docuterm of web pages as attributes, and then these relations are mapped into the navigation system of web pages by the navigation tree. For docuterm which has a great number of search results, this system can help users to find out what they need more accurately by narrowing the search scope. This kind of categorization is an important method of organizing information, which fully reveals the content of information resources and makes search results prepared for best use by building a system of clear categorization.Through further study on the application of FCA in search engines, our task group realized the search engine based on FCA. In this search navigation, all of the websites are organized in the lattice in the form of objects. The task of this paper is to study and realize the navigation system based on the FCA search engine. The idea of the system is to search in the lattice where the data is, and to define the concept where the docuterm belongs by making use of the characteristics of the upper definite limited, the idea and the filter in the nodes. The search results are organized and returned in the way of idea, which can not only narrow the search scope and keep the search content which should be returned, but also keep the relations between each search result (node). This navigation can enlarge or narrow the search content. In this system, the search result can be enlarged and narrowed to open out the content of its category, by which users can not only find out the knowledge they want but also find out the deep-hidden content which they are not conscious of.In order to make users have a quick and effective judgment of the value of web pages in the navigation of results, this paper studies the automatic abstraction of the text abstract and offers an automatic abstraction system based on the combination of text structure and statistics. For this method, the abstraction of abstracts and the text structure of web pages in present stage are combined together, and the weighing of sentences are calculated by judging the information position of sentences in web pages or texts and by calculating words included in sentences, both of which are prepared for abstracting abstracts. This system has been realized and the choiceness of this method has been proved.The main contributions of this paper to the navigation of search engines are as follows:(1)Automatically categorize search results and prove the effectiveness of automatic categorization based on FCA;(2)Make he navigation of search engine results based on the semantic made on FCA;(3)Design a new method of automatic abstraction based on statistics and discourse structure and also realize and prove the effectiveness of it. |
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