Ontology Mapping and Reasoning in Semantic Time Series Processing

Abstract

After introducing the new field of Semantic Time Series Processing, we take our findings one step further and investigate ontology mapping and reasoning in semantic time series processing. This paper shows how ontologies for time series from different areas can be mapped together and how additional meta-information can be generated by using reasoning methods. For ontology mapping we use the bridging concept and present a general time series ontology, which allows the integration of new domain ontologies. In reasoning a popular open source reasoner is used to show generation of new time series meta-information. Additionally, we discuss our results together with a description of the validation for all previously introduced methods.