Abstract: Exploring and processing the relationships between social entitie (people and organizations) by mapping them to a mathematical graph model is been a rapidly growing research area known as Social Network Analysis (SNA). Majority of the models adapt statistical approaches to discover such social relationships in given resources. In this paper we introduce an initial work that takes a knowledge representation approach utilizing ontologies in order to map the social relationships between entities to logical models. This approach enables the deployment of inference mechanisms through the model by exploiting the logical structure to gain additional knowledge automatically from the resources at hand. Additionally, we use this structure a...
Social Networks and the Semantic Web combines the concepts and the methods of two fields of investig...
jung2006aInternational audienceWe have designed a three-layered model which involves the networks be...
The structure and basic principles of technology for increasing the probability of identifying subj...
Abstract: Ontology is a term that appears in contexts as diverse as computer science, linguistics an...
International audienceOne of the challenges of social network analysis (SNA) is to understand and ex...
Knowledge management is a systematic and organizationally specified process and knowledge management...
Knowledge bases like DBpedia, Yago or Google’s Knowledge Graph contain huge amounts of ontological k...
A key argument for modeling knowledge in ontologies is the easy re-use and re-engineering of the kno...
A semantic network is the representation of knowledge in the form of a graph where the nodes represe...
Social Networks and the Semantic Web combines the concepts and the methods of two fields of investig...
Social networks have recently gained a growing interest on the web. Traditional formalisms for repre...
iii Semantic web is described as to be a web of knowledge having properties such as heterogeneity, o...
The social facet of information has a deciding role in our quotidian life. An abstract representatio...
This paper describes an approach for extracting and representing the knowledge generated from collab...
Abstract—Social institutions and ecosystems are growing across the web and social trust networks for...
Social Networks and the Semantic Web combines the concepts and the methods of two fields of investig...
jung2006aInternational audienceWe have designed a three-layered model which involves the networks be...
The structure and basic principles of technology for increasing the probability of identifying subj...
Abstract: Ontology is a term that appears in contexts as diverse as computer science, linguistics an...
International audienceOne of the challenges of social network analysis (SNA) is to understand and ex...
Knowledge management is a systematic and organizationally specified process and knowledge management...
Knowledge bases like DBpedia, Yago or Google’s Knowledge Graph contain huge amounts of ontological k...
A key argument for modeling knowledge in ontologies is the easy re-use and re-engineering of the kno...
A semantic network is the representation of knowledge in the form of a graph where the nodes represe...
Social Networks and the Semantic Web combines the concepts and the methods of two fields of investig...
Social networks have recently gained a growing interest on the web. Traditional formalisms for repre...
iii Semantic web is described as to be a web of knowledge having properties such as heterogeneity, o...
The social facet of information has a deciding role in our quotidian life. An abstract representatio...
This paper describes an approach for extracting and representing the knowledge generated from collab...
Abstract—Social institutions and ecosystems are growing across the web and social trust networks for...
Social Networks and the Semantic Web combines the concepts and the methods of two fields of investig...
jung2006aInternational audienceWe have designed a three-layered model which involves the networks be...
The structure and basic principles of technology for increasing the probability of identifying subj...