An ontology-based framework to support intelligent data analysis of sensor measurements

作者：

Highlights：

• An ontology-based framework to support intelligence data analysis of sensed data is presented.

• Framework relies in a novel knowledge model composed by four ontologies: SSN, TAO, SWRLTO and DUL.

• Management of different qualitative representation schemes are supported.

• Temporal reasoning capability is also provided to support temporal inferences and pattern matching.

• Data analysis can be traced from the high-level temporal abstractions to the correspondent raw sensed data.

摘要

•An ontology-based framework to support intelligence data analysis of sensed data is presented.•Framework relies in a novel knowledge model composed by four ontologies: SSN, TAO, SWRLTO and DUL.•Management of different qualitative representation schemes are supported.•Temporal reasoning capability is also provided to support temporal inferences and pattern matching.•Data analysis can be traced from the high-level temporal abstractions to the correspondent raw sensed data.

论文关键词：Intelligent data analysis,Temporal abstraction,Temporal reasoning,Description Logic,Ontology,Semantic sensor web

论文评审过程：Available online 27 June 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.06.033