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BRINGGING SEMANTICS TO SOCIAL MEDIA CONTENT


VĂ‚RLAN SIMONA ELENA1*
1 “Alexandru Ioan Cuza” University of Iași, Romania
*simona.varlan@info.uaic.ro

Issue:

PLUMEE, Number 1, Volume IX

Section:

Issue No.1 - Volume 9 (2019)

Abstract:

It is well known that Social Web is „growing” bigger and bigger and more

diverse. An important issue relative to the huge amount of information user generated

content is that knowledge coming from different communities of users in social media

cannot be linked or shared because user generated content, in general, doesn’t have machine

interpretable metadata that can be “understood” by computers. The connection can be done

assigning meaning to web content with the help of the Semantic Web standards. The paper

presents a study about role and uses of Semantic Web technologies within the framework of

social media. A case study about the effective use of these technologies in a web

application that lists the posts introduced by users, which can be found in different social

sites is provided. The application was meant for usage within the Romanian research team.

Keywords:

Semantic Web, Social Media, Social Semantic WEB, SIOC, Ontology, SPARQL, FOAF, OWL, RDF.

Code [ID]:

PLUMEE201901V09S01A0037 [0005005]

Note:

DOI:

Full paper:

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