TY - GEN
T1 - Alignment-based preprocessing of personal ontologies on semantic social network
AU - Jung, Jason J.
AU - Kim, Hong Gee
AU - Jo, Geun Sik
PY - 2007
Y1 - 2007
N2 - In semantic social network, the relations between users are inferred by measuring the similarity between the corresponding personal ontologies. However, "over-enriched" personal ontologies have caused some difficulties in being discriminated from other personal ontologies. For efficiently annotating resources in their own repositories, people simply append ontology fragments retrieved from standard ontologies and from other neighbors' personal ontologies along to social links. In this paper, we propose a preprocessing method to extract preferential concepts for comparing with social semantics. In order to prune out irrelevant concepts from personal ontologies, alignment-based concept classification process is designed by checking these two main criteria; i) redundancy (e.g., if there already exist semantically identical concepts), and ii) tendency (e.g., if there exist semantically declined concepts). Finally, we want to show an application scenario to demonstrate our contributions.
AB - In semantic social network, the relations between users are inferred by measuring the similarity between the corresponding personal ontologies. However, "over-enriched" personal ontologies have caused some difficulties in being discriminated from other personal ontologies. For efficiently annotating resources in their own repositories, people simply append ontology fragments retrieved from standard ontologies and from other neighbors' personal ontologies along to social links. In this paper, we propose a preprocessing method to extract preferential concepts for comparing with social semantics. In order to prune out irrelevant concepts from personal ontologies, alignment-based concept classification process is designed by checking these two main criteria; i) redundancy (e.g., if there already exist semantically identical concepts), and ii) tendency (e.g., if there exist semantically declined concepts). Finally, we want to show an application scenario to demonstrate our contributions.
UR - http://www.scopus.com/inward/record.url?scp=38049017535&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-74827-4_33
DO - 10.1007/978-3-540-74827-4_33
M3 - Conference contribution
AN - SCOPUS:38049017535
SN - 9783540748267
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 255
EP - 262
BT - Knowledge-Based Intelligent Information and Engineering Systems
T2 - 11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007
Y2 - 12 September 2007 through 14 September 2007
ER -