Eya Ben Ahmed, Wafa Tebourski, W. Karaa, F. Gargouri
{"title":"ONTOSSN: Scientific social network ontology","authors":"Eya Ben Ahmed, Wafa Tebourski, W. Karaa, F. Gargouri","doi":"10.1109/SNPD.2014.6888677","DOIUrl":null,"url":null,"abstract":"During the past decade, the advent of the social network has offered several platforms that promote communication among users on common spaces. Several efforts were devoted to unify the social network domain, particularly the scientific domain through introducing ontology-based modeling of scientific social network. However, the measurement of the researchers standings within the scientific community is generally absent. To overcome this drawback, we propose, in this paper, a scientific social network ontology which includes definitions of main entities and describes main attributes of : Scientific social network concepts aiming to share common understanding of this domain and to reflect the academic career paths.","PeriodicalId":272932,"journal":{"name":"15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SNPD.2014.6888677","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
During the past decade, the advent of the social network has offered several platforms that promote communication among users on common spaces. Several efforts were devoted to unify the social network domain, particularly the scientific domain through introducing ontology-based modeling of scientific social network. However, the measurement of the researchers standings within the scientific community is generally absent. To overcome this drawback, we propose, in this paper, a scientific social network ontology which includes definitions of main entities and describes main attributes of : Scientific social network concepts aiming to share common understanding of this domain and to reflect the academic career paths.