SNOWL model: social networks unification-based semantic data integration
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SNOWL model: social networks unification-based semantic data integration Hiba Sebei1
· Mohamed Ali Hadj Taieb2
· Mohamed Ben Aouicha2
Received: 20 September 2019 / Accepted: 18 July 2020 © Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract Integrating social networks data in the process of promoting business and marketing applications is widely addressed by several researchers. However, regarding the isolation between social network platforms managing such data has become a challenging task facing data scientist. In this respect, the present paper is designed to put forward a special semantic data integration approach, whereby a unified presentation and access to social networks data can be maintained. To this end, the novel SNOWL (Social Network OWL) ontology aims to provide a new social network content modeling, following the UPON Lite ontology-construction methodology. The advanced ontology is not created from scratch; it is but a continuation of some previously devised ontologies, elaborated to integrate an additional selection of newly incorporated social entities, such as content and user popularity. Additionally, and for an effective advantage of the model to be gained, a special mapping of the social networks data has been firstly implemented to the designed ontology, developed on the basis of the RML mapping language. Secondly, the SNOWL ontology is evaluated through the OOPS! Pitfall tool. Finally, a set of SPARQL-based services has also been designed on top of the SNOWL ontology in a bid to ensure a unified access to the mapped social data. Keywords Social networks · Semantic data integration · Knowledge discovery · SPARQL query · RML
1 Introduction Social network sites (SNSs) are defined as “web-based service that allow[s] users to construct a public or semi-public profile within a bounded system articulate, a list of other users with
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Hiba Sebei [email protected] Mohamed Ali Hadj Taieb [email protected] Mohamed Ben Aouicha [email protected]
1
Multimedia InfoRmation Systems and Advanced Computing Laboratory, Sfax, Tunisia
2
Computer Science Department, Faculty of Sciences, University of Sfax, Sfax, Tunisia
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whom they share a connection, and view and traverse their list of connections and those made by others within the system” [1]. The term social network sites is also interchangeably used with the two terms “social networking sites” and “social networking services” [2, 3]. According to Zhang and Leung [2], the term social networking services is more appropriately fit to describe social network sites. In effect, this term highlights well the evolution marking the social networks’ services after profiting from the advantages brought about by the newly created technologies, such as smartphones, GPS and transmission technologies, such as 3G/4G. Based on these two descriptions attributed to social network sites, one may well depict that SNSs stand as Web 2.0 platforms focused not only on supporting various modes of social connecti
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