C4.5: programs for machine learning
C4.5: programs for machine learning
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Clustering Ontology-Based Metadata in the Semantic Web
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
The PROMPT suite: interactive tools for ontology merging and mapping
International Journal of Human-Computer Studies
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Ontology languages for the semantic web: A never completely updated review
Knowledge-Based Systems
The link-prediction problem for social networks
Journal of the American Society for Information Science and Technology
Social Networks and the Semantic Web (Semantic Web and Beyond)
Social Networks and the Semantic Web (Semantic Web and Beyond)
An ontology-based cluster analysis framework
OBI '08 Proceedings of the first international workshop on Ontology-supported business intelligence
Advances in Web Semantics I
Make new friends, but keep the old: recommending people on social networking sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Analysis of a Real Online Social Network Using Semantic Web Frameworks
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Instance based clustering of semantic web resources
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
New perspectives and methods in link prediction
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
A faceted ontology for a semantic geo-catalogue
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
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The Semantic Web enables people and computers to interact and exchange information. Based on Semantic Web technologies, different machine learning applications have been designed. Particularly important is the possibility to create complex metadata descriptions for any problem domain, based on pre-defined ontologies. In this paper we evaluate the use of a semantic similarity measure based on pre-defined ontologies as an input for a classification analysis in the context of social network analysis. A link prediction between actors of two real world social networks is performed, which could serve as a recommendation system. The social networks involve different types of relations and nodes. We measure the prediction performance based on a semantic similarity measure as well as traditional approaches. The findings demonstrate that the prediction accuracy based on the semantic similarity is comparable to traditional approaches and shows that data mining on complex social networks using ontology-based metadata can be considered as a very promising approach.