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


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Review Papers | Computer Science Engineering | Volume 5 Issue 4, April 2016 | Pages: 1506 - 1508 | India


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

How to Cite?: Utkarsha Daradmare, Bhushan Ugale, "Extract Entities with Iknoweb Framework", Volume 5 Issue 4, April 2016, International Journal of Science and Research (IJSR), Pages: 1506-1508, https://www.ijsr.net/getabstract.php?paperid=NOV162917, DOI: https://dx.doi.org/10.21275/NOV162917

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