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As the popularity of WWW explodes, a massive amount of data is gathered by Web servers in the form of Web access logs which are rich source of information for understanding the Web user's surfing behavior. Web Usage Mining is an application of data mining algorithms to Web access logs to find trends and regularities in Web users' traversal pattern. Web page prediction technique is an important research...
It is becoming an important research issue to search the Web rapidly and effectively from a mass of information. Information retrieval for resolved these problems provide a chance. In this paper, a new adaptive method of information retrieval Web documents is proposed. We give an algorithm QIGA which combines genetic algorithm and quantum computing based on vector space model (VSM). This algorithm...
Automatic summarization is an important issue in natural language processing and becomes more and more important in some domains such as web information retrieval. This paper describes an automatic summarization system based on topic partition: Firstly, it analyzes the text structure of the web pages, then proposes an algorithm for multi-topic text partitioning based on semantic distance between paragraphs,...
Search engine technology plays an important role in web information retrieval. However, with Internet information explosion, traditional searching techniques cannot provide satisfactory result due to problems such as huge number of result Web pages, unintuitive ranking etc. Therefore, the reorganization and post-processing of Web search results have been extensively studied to help user effectively...
The rapid development of the Internet brings a new problem, which is how to rapidly and effectively retrieve needed information from vast number of Web pages. In this paper, we propose a valid approach to find hub sites using hill-climbing algorithms .It uses a fuzzy clustering algorithm based on Web pagespsila contents and link analysis in order to help uses find relevant Web information more easily...
Domain knowledge-base construction plays an important role in intelligent web structured information processing. The paper provides a basic resource construction technique for semantic web information processing. Firstly it puts forward a Chinese domain knowledge composition model. Then it introduces how to construct special domain knowledge-base. The construction mainly based on database schemas,...
Due to the rapid growth of Web pages available on the Internet recently, searching a relevant and up-to-date information has become a crucial issue. Conventional search engines use heuristics to determine which Web pages are the best match for a given keyword. Results are obtained from a database that is located at their local server to provide fast searching. However, to search for the relevant and...
Web Information Retrieval (IR) has become a ubiquitous online activity for people around the globe. There is a critical need to recognize and study diverse attitudes and behaviors exhibited by searchers from different cultures. In this paper we examine and discuss the theoretical and methodological foundations used to establish a framework for research on cross-cultural information retrieval. First,...
Word meaning disambiguation has always been an important problem in many computer science tasks, such as information retrieval and extraction. One of the problems,faced in automatic word sense discovery, is the number of different senses a word can have. Often, senses are dominated by some other, more frequent ones. Discovering such dominated meanings can significantly improve quality of many text-related...
In this paper, we propose a new semi-supervised clustering methodology to extract topically coherent contents from given Web pages, according to a user's topic interests. It is an effort to resolve low information retrieval performance, caused by one fact that even a single Web page often contains multi-topic related contents. Our evaluation results showed some advantages of our semi-supervised clustering...
Search engine technology plays an important role in Web information retrieval. However, with Internet information explosion, traditional searching techniques cannot provide satisfactory result due to problems such as huge number of result Web pages, unintuitive ranking, etc. Therefore, the reorganization and post-processing of Web search results have been extensively studied to help user effectively...
The following topics are dealt with: Web intelligence; World Wide Wisdom Web (W4); social networks and social intelligence; knowledge grids and grid intelligence; Web mining and farming; semantics and ontology engineering; Web agents; Web services; Web information filtering and retrieval; intelligent human-Web interaction; Web support systems; and intelligent e-technology.
One major approach for information finding in the WWW is to navigate through some Web directories and browse them for the goal pages. However, such directories are generally constructed manually and have disadvantages of narrow coverage and inconsistency. In this work, we propose a machine learning approach that automatically constructs a navigational structure for the WWW to help information finding...
In order to realize Web information retrieval using characteristic tree structured patterns in semistructured Web documents, methods for discovering frequent patterns or common characteristics in semistructured documents become more and more important. We have studied methods for discovering maximally frequent tree structured patterns in semistructured Web documents. A tag tree pattern is an edge...
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