Abstract
Web of Things (WoT) unifies the syntactic representations of physical objects via web pattern, which facilitates the integrations and mashups of heterogeneous data and web services. However, the lack of unified representation markup tools and methods at semantic layer hinders the interoperability, integration and scalable search of things. This paper proposes a Semantic Web of Things Framework to improve the interoperability among domain-specific Web of Things applications by providing a unified WoT Knowledge Base construction framework. For this purpose, a Microdata vocabulary extended from Semantic Sensor Network ontology is proposed to facilitate manual annotation on HTML-based WoT representations. Moreover, to improve the scalability of extraction of semantics of structured Web of Things resources, a semi-automatic semantic annotation method based on entity linking model is also proposed. To testify the technical feasibility of the framework, a reference implementation and quantitative evaluation on annotation results are illustrated.
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This work was supported by the Chinese Megaproject under grant No. 2015ZX03003012.
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Wu, Z., Xu, Y., Zhang, C., Yang, Y., Ji, Y. (2016). Towards Semantic Web of Things: From Manual to Semi-automatic Semantic Annotation on Web of Things. In: Wang, Y., Yu, G., Zhang, Y., Han, Z., Wang, G. (eds) Big Data Computing and Communications. BigCom 2016. Lecture Notes in Computer Science(), vol 9784. Springer, Cham. https://doi.org/10.1007/978-3-319-42553-5_25
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DOI: https://doi.org/10.1007/978-3-319-42553-5_25
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