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A Framework for Semantic Annotation and Mapping of Sensor Data Streams Based on Multiple Linear Regression

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Soft Computing and Signal Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 900))

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Abstract

In IoT, multitudes of sensors are streaming massive data which are hard to interpret meaningful information due to the presence of noise, outliers and missing value in sensor-observed data. In addition to this, heterogeneous sensors or devices in smart environment show great variations in formats, domains, and types, which stances challenges for machines to process and recognize. These challenges lead the interoperability issues in IoT. To overcome the above-mentioned issues, this work initially performs the preprocessing (i.e., removal of outlier, missing data completion) using the F-statistical tests and multiple linear regression models. Secondly, this research work proposes an Extended Sensor Markup Language for annotation of sensor-observed data and semantic mapping method to map the sensor data with standard Semantic Sensor Network (SSN) ontology for semantic interoperability.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Pondicherry Engineering College, Puducherry, India

    K. Vijayaprabakaran & K. Sathiyamurthy

Authors
  1. K. Vijayaprabakaran
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  2. K. Sathiyamurthy
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Corresponding author

Correspondence to K. Vijayaprabakaran .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ, USA

    Jiacun Wang

  2. Department of Information Technology, National Institute of Technology Karnataka, Surathkal, Mangaluru, Karnataka, India

    G. Ram Mohana Reddy

  3. Department of Computer Science and Engineering, JNTUH College of Engineering Hyderabad, Hyderabad, Telangana, India

    V. Kamakshi Prasad

  4. Department of Electronics and Communication Engineering, Malla Reddy College of Engineering and Technology, Secunderabad, Telangana, India

    V. Sivakumar Reddy

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Vijayaprabakaran, K., Sathiyamurthy, K. (2019). A Framework for Semantic Annotation and Mapping of Sensor Data Streams Based on Multiple Linear Regression. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 900. Springer, Singapore. https://doi.org/10.1007/978-981-13-3600-3_20

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