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Huge amount of entities and theirs relationships are posted on the Web. Those entities and theirs relationship networks help many activities. In this paper, we focus on the task of extracting academic entity network from homepages. Homepages usually contain many entities, such as persons, conference/journal and organization and theirs relationship. However, homepages don't follow a unified layout...
Web content extraction is actually the process of transforming web unstructured information into structured information. Knowledge base has the advantages of ordering information and knowledge, also be used conveniently. So it's convenient to retrieve information and knowledge, and it makes base for effective use. Knowledge base will speed up the knowledge and the flow of information and make for...
In this paper, we present an Intelligent Cluster Search Engine System, called ICSE. This system is motivated by the observation that traditional search engines present to the users a set of non-classified web pages based on its ranking mechanism, and the unfortunate results are that they usually can not satisfy the need of users. For this reason, ICSE provides to the user a set taxonomic web pages...
It is a crucial issue that Web information extraction on construction of B2B vertical search engine. The conceptions and characters of Web information extraction are given at first, then how the knowledge base used to Web information extraction is analyzed. Based on which, the B2B information extraction system with knowledge base is proposed. The information extracted with that system can not only...
The Web has the potential to become the world's largest knowledge base. In order to unleash this potential, the wealth of information available on the Web needs to be extracted and organized. There is a need for new querying techniques that are simple and yet more expressive than those provided by standard keyword-based search engines. Searching for knowledge rather than Web pages needs to consider...
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