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A Semantic Approach to Enhance HITS Algorithm for Extracting Associated Concepts using ConceptNet Madhat Alsoos, Ammar Kheirbek Faculty of Information Technology Engineering Damascus University
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Document Date: 2015-04-20 11:29:02


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File Size: 136,86 KB

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City

Chiang Mai / Chicago / /

Company

Common sense / Information Systems / MIT Press / BT / Computer Sciences / Cycorp / Baxter / /

Country

Thailand / /

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Facility

Information Technology Engineering Damascus University / /

IndustryTerm

Web vision / semantic network / text mining / multilingual semantic network / normal search engines / search engines / Web community / dot product / natural language processing / store using web services / web algorithm / Web API / natural language processing errors / relations algorithms / HITS algorithm / online service / /

Organization

Information Technology Engineering Damascus University Syrian Arab Republic / MIT / ConceptNet association / Ammar Kheirbek Faculty / International Criminal Court / Hub\authority / /

Person

Ammar Kheirbek / /

Product

ConceptNet / /

ProgrammingLanguage

CycL / /

ProvinceOrState

Illinois / Florida / /

PublishedMedium

Journal of the ACM / Communications of the ACM / /

Region

Asia Pacific / /

Technology

HITS algorithm / relations algorithms / natural language processing / JSON / normal HITS algorithm / artificial intelligence / machine translation / Information Technology / AnalogySpace algorithm / API / web algorithm / RDF / Applying HITS algorithm / 5.2 Semantically Modified HITS Algorithm / /

URL

http /

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