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Result integrating is a key component for keyword querying across heterogeneous databases. Once the results from various search engines are collected, the search engine merges them into a single ranked list. In this paper, firstly, we present a novel model of searching, which the database is an undirected graph and
Granular computing is an emerging technology. This paper summarizes its applications to the Web. A high frequent co-occurring ordered set of keywords is called a keyword set;it represents some concept in the given document set. These concepts forms a simplicial complex of concepts,which is regarded as a knowledge base
is considered as more interesting and useful. Most of recent search engines are designed based on only measuring the similarity between keywords and articles. However, the social relations between authors of articles and searcher have not been taken into account in recent research. Therefore, in order to improve the
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