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An Ontology-based Semantic Blog Model for Supporting System Queries to Recommend Interest Community  

Yang, Kyung-Ah (케이 테크멀티미디어 DB 연구원)
Yang, Jae-Dong (전북대학교 전자정보공학부)
Choi, Wan (ETRI 온디맨드서비스연구팀)
Abstract
This paper suggests an intelligent semantic blog model to systematically analyze and manage biogosphere with ontology as its conceptual knowledge base. In the model, the system managers may support users to easily find appropriate blog resources by tracking and analyzing various relationships between ontology - they may intelligently recommend Interest blog communities to relevant users by monitoring interaction activities in blogoshpere, dynamically grouping the communities with the ontology. To systematically specify the functionality of our model, 1) we first express the structure of blog resources in terms of objects and relationships between them and then 2) we formalize a set of operators designed to be applied to the resources. System queries are implemented by the combination of the operators.
Keywords
Ontology; Semantic Blog; System Query; Semantic Web;
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