A Rule-Based Approach for Extraction of Link-Context from Anchor-Text Structure

  • Suresh Kumar
  • Naresh Kumar
  • Manjeet Singh
  • Asok De
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 182)


Most of the researchers have widely explored the use of link-context to determine the theme of target web-page. Link-context has been applied in areas such as search engines, focused crawlers, and automatic classification. Therefore, extraction of precise link-context may be considered as an important parameter for extracting more relevant information from the web-page. In this paper, we have proposed a rule-based approach for the extraction of the link-context from anchor-text (AT) structure using bottom-up simple LR (SLR) parser. Here, we have considered only named entity (NE) anchor-text. In order to validate our proposed approach, we have considered a sample of 4 ATs. The results have shown that, the proposed LCEA has extracted 100% actual link-context of each considered AT.


Ontology Augmented Context-Embedded grammar SLR parser Indexing Focused-Crawling Semantic-Web NLP Bare-Concept 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Suresh Kumar
    • 1
  • Naresh Kumar
    • 2
  • Manjeet Singh
    • 3
  • Asok De
    • 1
  1. 1.Institute of Advanced Communication Technologies & ResearchDelhiIndia
  2. 2.AIIT, Amity UniversityNoidaIndia
  3. 3.YMCA University of Science & TechnologyFaridabadIndia

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