원문정보
초록
영어
Sensor Network has been widely used in all fields, and a large number of heterogeneous data is produced. In order to make these data shared and integrated semantically, semantic web technology is introduced in the sensor network. In this paper, we make a comprehensive survey about Semantic Sensor Web (SSW) from the perspective of ontology, mapping and query respectively. Firstly, we present state of the art of SSW from three aspects: ontologies before SSN ontology, SSN ontology and the extensions of SSN ontology, in which the extensions of SSN ontology are introduced emphatically. Secondly, we discuss the mapping from the stream data to ontology and focus on the comparison of the mapping languages in order to find out the best mapping method of SSW. Thirdly, we describe the research status of stream data query languages and analyze the characteristics, the application fields, the related researches and tools of the query languages in detail. Finally, the future research directions of SSW are proposed.
목차
1. Introduction
2. The Problem Description
2.1 The Sensor Data Source Layer
2.2 The Data Integration Layer
2.3 The Application Layer
3. The State of the Art of the Sensor Ontology
3.1 Ontologies before SSN Ontology
3.2. SSN Ontology
3.3. The Extensions of SSN Ontology
3.4 Comparison and Analysis
4. The Mapping from Stream Data to Ontology
4.1. The Mapping Languages
4.2. Comparison and Analysis
5. Query Tools and Methods
5.1. The Query Languages
5.2. Comparison and Analysis
6. Conclusion and Future Work
Acknowledgements
References