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An extensible and active semantic model of information organizing for the Internet of Things

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Abstract

Data management and information processing play the key roles in developing the Internet of Things (IoT). The requirements of a well-defined data model for IoT involve in six aspects: semantic supporting, active data extracting and explaining, flexibility and extensibility, enabling to manage massive and heterogeneous data, supporting formal organization, and solid mathematic-based theory. This paper aims to exploring an extensible and active semantic information organization model for IoT to meet the above requirements, and the primary idea is “Object-cored organizing data, event-based explaining data, and knowledge-based using data.” The proposed model involves two layers: the object layer and the event layer, and both of them are discussed in detail including conceptions, schema definitions, and the rule-based knowledge representation. Semantic reasoning can be supported by the knowledge base which involves in a set of reasoning rules on semantic relations among objects or among events correspondingly.

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Notes

  1. OpenIoT: IoT Semantic Interoperability-Challenges, Best Practices, Solutions and Next Steps www.probe-it.eu/wp-content/uploads/2013/10/IERC-AC4-SemanticInteroperabilityManifesto-V1_130830-Final1.pdf.

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Authors and Affiliations

  1. Business School, Beijing Normal University, Beijing, China

    Yunchuan Sun

  2. University of Applied Sciences Western Switzerland (HES-SO), Delémont, Switzerland

    Antonio J. Jara

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  1. Yunchuan Sun
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  2. Antonio J. Jara
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Correspondence to Yunchuan Sun.

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Sun, Y., Jara, A.J. An extensible and active semantic model of information organizing for the Internet of Things. Pers Ubiquit Comput 18, 1821–1833 (2014). https://doi.org/10.1007/s00779-014-0786-z

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