Extraction of Core Contents from Web Pages

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📝 Original Info

  • Title: Extraction of Core Contents from Web Pages
  • ArXiv ID: 1403.1939
  • Date: 2014-03-11
  • Authors: Researchers from original ArXiv paper

📝 Abstract

The information available on web pages mostly contains semi-structured text documents which are represented either in XML, or HTML, or XHTML format that lacks formatted document structure. The document does not discriminate between the text and the schema that represent the text. Also the amount of structure used to represent the text depends on the purpose and size of text document. No semantic is applied to semi-structured documents. This requires extracting core contents of text document to analyse words or sentences to generate useful knowledge. This paper discusses several techniques and approaches useful for extracting core content from semi-structured text documents and their merits and demerits

💡 Deep Analysis

Deep Dive into Extraction of Core Contents from Web Pages.

The information available on web pages mostly contains semi-structured text documents which are represented either in XML, or HTML, or XHTML format that lacks formatted document structure. The document does not discriminate between the text and the schema that represent the text. Also the amount of structure used to represent the text depends on the purpose and size of text document. No semantic is applied to semi-structured documents. This requires extracting core contents of text document to analyse words or sentences to generate useful knowledge. This paper discusses several techniques and approaches useful for extracting core content from semi-structured text documents and their merits and demerits

📄 Full Content

The information available on web pages mostly contains semi-structured text documents which are represented either in XML, or HTML, or XHTML format that lacks formatted document structure. The document does not discriminate between the text and the schema that represent the text. Also the amount of structure used to represent the text depends on the purpose and size of text document. No semantic is applied to semi-structured documents. This requires extracting core contents of text document to analyse words or sentences to generate useful knowledge. This paper discusses several techniques and approaches useful for extracting core content from semi-structured text documents and their merits and demerits

Reference

This content is AI-processed based on ArXiv data.

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