Paper Info
Title
Friend Of A Friend With Benefits Ontology (Foaf Plus ): Extending A Social Network Ontology For Public Health
Abstract
Background Dyadic-based social networks analyses have been effective in a variety of behavioral- and health-related research areas. We introduce an ontology-driven approach towards social network analysis through encoding social data and inferring new information from the data. Methods The Friend of a Friend (FOAF) ontology is a lightweight social network ontology. We enriched FOAF by deriving social interaction data and relationships from social data to extend its domain scope. Results Our effort produced Friend of a Friend with Benefits (FOAF+) ontology that aims to support the spectrum of human interaction. A preliminary semiotic evaluation revealed a semantically rich and comprehensive knowledge base to represent complex social network relationships. With Semantic Web Rules Language, we demonstrated FOAF+ potential to infer social network ties between individual data. Conclusion Using logical rules, we defined interpersonal dyadic social connections, which can create inferred linked dyadic social representations of individuals, represent complex behavioral information, help machines interpret some of the concepts and relationships involving human interaction, query network data, and contribute methods for analytical and disease surveillance.
Year
DOI
Venue
2020
10.1186/s12911-020-01287-8
BMC MEDICAL INFORMATICS AND DECISION MAKING
Keywords
DocType
Volume
Ontology, Public health, Disease surveillance, Social network analysis, HIV
Journal
20
Issue
ISSN
Citations 
10
1472-6947
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Muhammad Amith1229.01
Kayo Fujimoto2517.82
Rebecca Mauldin300.34
Cui Tao43512.77