Automating Content Extraction of HTML Documents
نویسندگان
چکیده
منابع مشابه
Content Extraction from HTML Documents
In recent times, the way people access information from the web has undergone a transformation. The demand for information to be accessible from anywhere, anytime, has resulted in the introduction of Personal Digital Assistants (PDAs) and cellular phones that are able to browse the web and can be used to find information using wireless connections. However, the small display form factor of thes...
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Web pages often contain clutter (such as unnecessary images and extraneous links) around the body of an article that distracts a user from actual content. Extraction of “useful and relevant” content from web pages has many applications, including cell phone and PDA browsing, speech rendering for the visually impaired, and text summarization. Most approaches to making content more readable invol...
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A variety of applications uses methods to determine and extract the main textual contents of an HTML document. The performance of the methods employed in this task is rarely evaluated. This paper fills this gap by introducing a platform independent and extensible framework for measuring, evaluating and comparing the performance of methods for Content Extraction. We further give an overview over...
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The traditional methods to acquire automatically the ontology concepts from a textual corpus often privilege the analysis of the text itself, whether they are based on a statistical or linguistic approach. In this paper, we extend these methods by considering the document structure which provides interesting information on the significances contained in the texts. Our approach focuses on the st...
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A modern web document typically consists of many kinds of information. Besides the main content which conveys the primary information, a web document also contains noisy contents such as advertisements, headers, footers, decorations, copyright information, navigation menus etc. The presence of noisy contents may affect the performance of applications such as commercial search engines, web crawl...
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ژورنال
عنوان ژورنال: World Wide Web
سال: 2005
ISSN: 1386-145X,1573-1413
DOI: 10.1007/s11280-004-4873-3