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integrate information from multiple interrelated pages to answer keyword queries meaningfully. Next-generation web search engines require link-awareness, or more generally, the capability of integrating correlative information items that are linked through hyperlinks. In this paper, we study the problems of identifying the
Given a user keyword query, current Web search engines return a list of individual Web pages ranked by their "goodness" with respect to the query. Thus, the basic unit for search and retrieval is an individual page, even though information on a topic is often spread across multiple pages. This degrades the quality of
desirable. In this paper, some existing achievements are investigated firstly. Then our current technique on web information extraction is discussed in detail. In our approach, rules and patterns are extracted from sample pages through training process, with human involvements. We use both keywords and regular expressions to
In order to study the retrieval precision of network information and solve the problems existed in search engines this paper analyzes problems and precision in the information retrieval according to experimental data such as image retrieval with different retrieval keywords, and puts forward a new construction of
As various individuals and organizations disseminate information on their Web pages, real-world social events and changes are considered to be reflected in Web trends. The billions of Web pages that now exist are retrieved by Web search engines which accept keywords and return a search engine results page (SERP
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