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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Extraction of Top-k List by Using Web Mining Technique
verfasst von : Priyanka Deshmane, Pramod Patil, Abha Pathak
Erschienen in: Information and Communication Technology for Sustainable Development
Verlag: Springer Singapore
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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.