Annotating Search Results from Web Databases
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Year of Project2013
Annotating Search Results from Web Databases IEEE Projects 2013 | Final year projects | BE Projects | Abstract: An increasing number of databases have become web accessible through HTML form-based search interfaces. The data units returned from the underlying database are usually encoded into the result pages dynamically for human browsing. For the encoded data units to be machine processable, which is essential for many applications such as deep web data collection and Internet comparison shopping, they need to be extracted out and assigned meaningful labels. 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. Then, for each group we annotate it from different aspects and aggregate the different annotations to predict a final annotation label for it. An annotation wrapper for the search site is automatically constructed and can be used to annotate new result pages from the same web database. Our experiments indicate that the proposed approach is highly effective.
Annotating Search Results from Web Databases. A large portion of the deep web is database based, i.e., for many search engines, data encoded in the returned result pages come from the underlying structured databases. Such type of search engines is often referred as Web databases (WDB). A typical result page returned from a WDB has multiple search result records (SRRs). Each SRR contains multiple data units each of which describes one aspect of a real-world entity. Fig. 1 shows three SRRs on a result page from a book WDB. Each SRR represents one book with several data units, e.g., the first book record in Fig. 1 has data units “Talking Back to the Machine: Computers and Human Aspiration,” “Peter J. Denning,” etc. In this paper, a data unit is a piece of text that semantically represents one concept of an entity. It corresponds to the value of a record under an attribute. It is different from a text node which refers to a sequence of text surrounded by a pair of HTML tags. Section 3.1 describes the relationships between text nodes and data units in detail. In this paper, we perform data unit level annotation.
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