International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 104 | Views: 184

Review Papers | Computer Science & Engineering | India | Volume 5 Issue 4, April 2016 | Rating: 6.6 / 10


Extract Entities with Iknoweb Framework

Utkarsha Daradmare | Bhushan Ugale


Abstract: This review paper presents a study about entity search engine with knowledge mining framework. It describes details about search engine for entity as a lot of information is rapidly growing on the web, extracting this valuable information of real-world entity is most tedious task. Search engine plays a vital role in collecting and understanding this valuable information. In order to reach more accurate resulted information, there is need to develop and utilized unique characteristics of a web. This paper introduces the concept of search engine for entity. It also describes about architecture and iknoweb framework adopted for it. It presents the summary of information about real-world entity.


Keywords: Entity, Entity disambiguation, Entity extraction, Crawler, Knowledge mining


Edition: Volume 5 Issue 4, April 2016,


Pages: 1506 - 1508


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