2016Unpublished venueRequires access

ONTOMSN: Medical social network ONTOlogy

Wafa Tebourski, Wahiba Ben Abdessalem Karâa, Henda Ben Ghézela

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Abstract

Recently, the social network has revolutionized the interaction and information exchange between users. Several works have been committed to unify the social network domain, particularly the medical domain through introducing ontology-based modeling of medical social network. Nevertheless, few researches focused on modeling the social network using ontology from the medical side. To overcome this drawback, we propose, in this paper, a medical social network ontology which includes definitions of main entities and describes major attributes of medical social network concepts aiming at sharing common understanding of this domain.

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What this paper is about

Recently, the social network has revolutionized the interaction and information exchange between users. Several works have been committed to unify the social network domain, particularly the medical domain through introducing ontology-based modeling of medical social network. Nevertheless, few researches focused on modeling the social network using ontology from the medical side. To overcome this drawback, we propose, in this paper, a medical social network ontology which includes definitions of main entities and describes major attributes of medical social network concepts aiming at sharing common understanding of this domain.

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Available abstract

Recently, the social network has revolutionized the interaction and information exchange between users. Several works have been committed to unify the social network domain, particularly the medical domain through introducing ontology-based modeling of medical social network. Nevertheless, few researches focused on modeling the social network using ontology from the medical side. To overcome this drawback, we propose, in this paper, a medical social network ontology which includes definitions of main entities and describes major attributes of medical social network concepts aiming at sharing common understanding of this domain.

Key concepts: Ontology, Computer science, Social network (sociolinguistics), Domain (mathematical analysis), Data science, Social network analysis, Knowledge management, World Wide Web

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