Development of a semantic web based activity recommender software [Anlamsal Web Tabanli bir Aktivite Öneri Sistemi Yaziliminin Geliştirilmesi]

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dc.contributor.authorKonaray S.K.
dc.contributor.authorAras G.
dc.contributor.authorAkçekoce H.
dc.contributor.authorAlaca O.F.
dc.contributor.authorChallenger M.
dc.contributor.authorKardaş G.
dc.date.accessioned2019-10-26T21:17:10Z
dc.date.available2019-10-26T21:17:10Z
dc.date.issued2017
dc.departmentEge Üniversitesien_US
dc.descriptionAlanya Municipality;Havelsan;Idea Teknoloji Cozumleri;Turkcellen_US
dc.description11th Turkish National Software Engineering Symposium, UYMS 2017 -- 18 October 2017 through 20 October 2017 -- 131664en_US
dc.description.abstractPeople are usually willing to spend their free time in entertaining activities. In the process of finding appropriate activity, circumstances such as personal preferences and weather conditions, as well as some factors like the budget play an important role. In addition, one should find and filter these activities with an extensive effort in order to determine the proper activity based on personal requirements. In addition, to succeed in the web-based search for the activities, exact syntactical mapping is needed. This situation may lead to miss those activities which place in several categories. These requirements for the activity finding make the process difficult for the users. To deal with these challenges, the web services providing the activities can be defined semantically, discovered automatically and dynamically, and hence the activities closest to the user's preferences can be found. To this end, in this paper, an activity recommender system is proposed which utilizes semantic web services and semantic matchmaking. For this purpose, as part of an engineering approach, a semantic web infrastructure is proposed with which web services can communicate to discover the desired activity. The evaluation of both the proposed approach and the implemented system with taking into account the advantages and the disadvatages brought the approach is also given in the paper.en_US
dc.identifier.endpage77en_US
dc.identifier.issn1613-0073
dc.identifier.issn1613-0073en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage65en_US
dc.identifier.urihttps://hdl.handle.net/11454/16323
dc.identifier.volume1980en_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherCEUR-WSen_US
dc.relation.ispartofCEUR Workshop Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOntologyen_US
dc.subjectRecommender systemen_US
dc.subjectSemantic mappingen_US
dc.subjectSemantic weben_US
dc.subjectSocial activityen_US
dc.subjectWeb serviceen_US
dc.titleDevelopment of a semantic web based activity recommender software [Anlamsal Web Tabanli bir Aktivite Öneri Sistemi Yaziliminin Geliştirilmesi]en_US
dc.typeConference Objecten_US

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