Extraction of Top-k List by Using Web Mining Technique

Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 10)

Abstract

In present days, finding relevant and desired information in less time is very crucial, however, problem is that very small proportion data on internet is interpretable and meaningful and need lot of time to extract. The paper provides solution to problem by extracting information from top-k websites, which consist top-k instances of a subject. For Example “top 5 football teams in the world”. In comparison with other structured information like web tables top-k lists contains high quality information. It can be used to enhance open-domain knowledge base (which can support search or fact answering applications). Proposed system in paper extract the top-k list by using title classifier, parser, candidate picker, ranker, content processor.

Keywords

Top-k list Information extraction Top-k web pages Structured information 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Computer EngineeringDr. D.Y. Patil Institute of Engineering and Technology (DYPIET)Pimpri, PuneIndia

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