Research on Social Context Acquisition and Reasoning Techniques for Online Social Networks

aut.embargoNoen_NZ
aut.thirdpc.containsNoen_NZ
aut.thirdpc.permissionNoen_NZ
aut.thirdpc.removedNoen_NZ
dc.contributor.advisorYu, Jian
dc.contributor.advisorYan, Wei Qi
dc.contributor.authorBakhsh, Baraa
dc.date.accessioned2017-06-22T01:16:59Z
dc.date.available2017-06-22T01:16:59Z
dc.date.copyright2017
dc.date.created2017
dc.date.issued2017
dc.date.updated2017-06-21T12:15:35Z
dc.description.abstractRecently, social contexts have been used with promising outcomes in developing social aware applications in different fields. However, a user's social information is distributed over different OSN, which is a challenge for developers wishing to collect this information. Integrating social contexts from these resources can provide such useful applications. In this thesis, a SCWS framework architecture is being proposed. This framework has the ability to acquire raw social contexts from Facebook; an ontology-based model designed for classifying, inferring, and storing social contexts, as a proof-of-concept. In addition, CommonFriends application has been developed that connects with the framework through API to notify users when any of the following scenarios happen: finding common friends, notifying the user of their distance from their friends, when they are within the same location, and suggesting a new friend with common interests. These features will demonstrates the applicability of the research approach. The performance of the mobile application has been evaluated using tester accounts under Facebook's testing environment.en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/10574
dc.language.isoenen_NZ
dc.publisherAuckland University of Technology
dc.rights.accessrightsOpenAccess
dc.subjectsocial contexten_NZ
dc.subjectonline social networken_NZ
dc.subjectontologyen_NZ
dc.subjectfacebooken_NZ
dc.subjectreasoningen_NZ
dc.subjectcontext awarenessen_NZ
dc.titleResearch on Social Context Acquisition and Reasoning Techniques for Online Social Networksen_NZ
dc.typeThesis
thesis.degree.grantorAuckland University of Technology
thesis.degree.levelMasters Theses
thesis.degree.nameMaster of Computer and Information Sciencesen_NZ
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