Email this article Interpreting Pursuit Outcomes from Data Web Bases
Abstract
The Internet presents a huge amount of useful information which is usually formatted for its users, which makes it difficult to extract relevant data from various sources. Therefore, the availability of robust, flexible Information Extraction (IE) systems that transform the Web pages into program-friendly structures such as a relational database will become a great necessity .The motivation behind such systems lies in the emerging need for going beyond the concept of “human browsing.”The World Wide Web is today the main “all kind of information” repository and has been so far very successful in disseminating information to humans[5].
The Web has become the preferred medium for many database applications, such as e-commerce and digital libraries. These applications store information in huge databases that user’s access, query, and update through the Web. Database-driven Web sites have their own interfaces and access forms for creating HTML pages on the fly. Web database technologies define the way that these forms can connect to and retrieve data from database servers.[3]
In this paper, we present an automatic annotation approach that first aligns the data units on a result page into different groups such that the data in the same group have the same semantic. And then we assign labels to each of this group.
Keywords
References
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Wang Computer Science Department University of Science and Technology Clear Water Bay, Kowloon Hong Kong Computer Science Department University of Science and Technology Clear Water Bay, Kowloon Hong Kong
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