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
Using text processing techniques to automatically enrich a domain ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Migrating data-intensive web sites into the Semantic Web
Proceedings of the 2002 ACM symposium on Applied computing
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
Common sense data acquisition for indoor mobile robots
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
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Today, for enabling intelligent decision and high accuracy of recognition in service robots, many researchers supplement robot's knowledge model using the additional knowledge. However, the construction of the knowledge requiring much effort and domain experts fully depends on man power by few people. Thus, this paper proposes a fully automated process of acquiring domain knowledge and representing them to efficient and semantically abundant structure. Thus, we investigate the characteristics of OMICS as preceding case study for collective knowledge in robot domain, and describe the automated process of conversion of such collective knowledge to robot domain ontology. Also, we suggest dynamic semantic distribution method to solve appropriate generalization ofrelation problem. Finally, we evaluate the efficiency and semantic of our structure for the ontology compared to other knowledge bases for robots.