원문정보
초록
영어
To realize the sharing and reuse of sensor data and improve interoperability, semantic sensor web(SSW)is proposed to add semantics information to existing sensor networksby utilizing domain, spatial and temporal anthologies and other related semantic technology.However these is seldom research on how to fully utilize the sensor data through a semantic way such as domain ontology based inference. This paperpresents stateofthe art of SSWin various aspects,and proposesthe method to associate data from semantic sensor web with domain ontology to realize the communication between different domain ontologies and SSW. In addition, this paperalso proposes a new calculation method of semantic similarity amongdifferent entities in different ontology. Experiments show that this method can effectively find the similar entitiesandrealize the knowledge sharing and ontologies reuse.
목차
1. Introduction
2. SSWResearch and Applications
2.1. Semantic Web
2.2. Sensor Web Enablement
2.3. Semantic Annotation
2.4. Ontology
2.5. Rule-based Reasoning
2.6. SSW for Internet of Things
2.7. Ontology Mapping
3. The Mechanism for Sensor and Domain OntologyAssociation
4. Semantic SimilarityCalculation
4.1. Property Similarity
4.2. Name Gain
4.3. Structure Gain
4.4. Semantic Similarity
4.5. Relevancy Algorithm
4.6. Algorithm Comparison
5. Conclusion
Acknowledgement
References