Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/5624
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dc.contributor.authorAwad, Sameh-
dc.contributor.authorHamamreh, Rushdi-
dc.date.accessioned2018-09-15T06:08:13Z-
dc.date.available2018-09-15T06:08:13Z-
dc.date.issued2017-12-16-
dc.identifier.isbn978-1-5386-2652-8-
dc.identifier.urihttp://hdl.handle.net/20.500.11889/5624-
dc.description.abstractSocial Media has become one of the most popular platforms to allow users to communicate, and share their interests without being at the same geographical location. With the rapid growth of Social Media sites such as Facebook, LinkedIn, and Twitter, etc. There is vast amount of user- generated content. Thus, the improvement in the information quality has become a great Challenge to all social media sites, which allows users to get the desired Content or be linked to the best link relation using improved search / link technique. So introducing semantics to media networks will widen up the representation of the social media networks. Semantic Social Networks representation of social links will be extended by the semantic relationships found in the vocabularies which are known as (tags) in most of social media networks. This paper proposes a new model of semantic social media networks from the perspective of multi-agent systems. The multi-agent system is composed of two main functionalities: semantic indexing and tag ranking.en_US
dc.language.isoenen_US
dc.publisherIEEE Computer Society’s Conference Publishing Services (CPS)en_US
dc.subjectInternet searchingen_US
dc.subjectMulti-Agent systemsen_US
dc.subjectSemantic indexingen_US
dc.subjectTag ranken_US
dc.subjectData miningen_US
dc.subjectOnline social networksen_US
dc.subjectExpert systems (Computer science)en_US
dc.titleTag Ranking Multi-agent Semantic Social Networksen_US
dc.typeConference Proceedingsen_US
newfileds.departmentOtheren_US
newfileds.conferenceThe 2017 International Conference on Computational Science and Computational Intelligence (CSCI’17)en_US
newfileds.item-access-typeopen_accessen_US
newfileds.thesis-prognoneen_US
newfileds.general-subjectComputers and Information Technology | الحاسوب وتكنولوجيا المعلوماتen_US
item.grantfulltextopen-
item.languageiso639-1other-
item.fulltextWith Fulltext-
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