Information Extraction from Hypertext Mark-Up Language Web Pages
نویسندگان
چکیده
منابع مشابه
Information Extraction from Hypertext Mark-Up Language Web Pages
Problems statement: Nowadays, many users use web search engines to find and gather information. User faces an increasing amount of various HTML information sources. The issue of correlating, integrating and presenting related information to users becomes important. When a user uses a search engine such as Yahoo and Google to seek specific information, the results are not only information about ...
متن کاملPath Set Operations for Clipping of Parts of Web Pages and Information Extraction from Web pages
It is attractive to extract parts of Web pages for the following two purposes. One is to clip parts of Web pages as we clip articles of newspapers. Another is to utilize information on Web pages by software. In this paper we define operations to extract parts of Web pages, namely path set operations. The operations are for both clipping of parts of Web pages and information extraction from Web ...
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We consider the problem of extracting structured records from semi-structured web pages with no human supervision required for each target web site. Previous work on this problem has either required significant human effort for each target site or used brittle heuristics to identify semantic data types. Our method only requires annotation for a few pages from a few sites in the target domain. T...
متن کاملMain Content Extraction from Detailed Web Pages
As we know internet detailed web pages contains information which are not considered as primary content such as advertisements, headers, footers, navigation links and copyright information. Also information on web pages such as comments and reviews are not preferred by search engines to index as informative content, thereby having an algorithm to extracts only main content could help better qua...
متن کاملSemantic Extraction from List Web Pages
Extracting structured information from web pages is a problem that has many applications and that gained increased interest in recent years. We propose an approach that can achieve extraction and semantic description of data contained in a list web page. Our approach is fully automatic and is based on a "seed" ontology that contains minimal information about the domain. It uses an instance-base...
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ژورنال
عنوان ژورنال: Journal of Computer Science
سال: 2009
ISSN: 1549-3636
DOI: 10.3844/jcssp.2009.596.607