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Rule Languages for the Semantic Web

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Emerging Technologies in Data Mining and Information Security

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 755))

Abstract

Ontology plays a major role in Semantic Web to describe the meaning about data on the web. Some inferences can be gleaned from the ontology model itself, but others may not be expressible in the ontology language (usually OWL) and require a more functional representation. Semantic Rules are required to infer implicit inference. It is a way of expressing additional things that can be inferred from your dataset. Rules layer is on top of the OWL in semantic web-layered architecture. This layer is less developed and active area of research. Various Rule languages have been developed by the authors for the Semantic web such as RuleML (Rule Markup Language), SWRL (Semantic Web Rule Language), RIF (Rule Interchange Format), R2ML (REWERSE Rule Markup Language) and many more. This paper aims to discuss the state of the art with respect to semantic rule-based technologies. It gives an overview of the rules and rule languages that are currently available to support rule-based- and ontology-based reasoning, and it also reviews some of the limitations of these technologies in terms of their inability to deal with uncertain or imprecise data, incomplete knowledge, decidability and their poor performance in some reasoning contexts.

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Acknowledgements

This work was financially supported by the Government of India, Ministry of Defense, DRDO. This paper is done in NIT Kurukshetra where the authors are affiliated to the Department of Computer Applications.

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Authors and Affiliations

  1. Department of Computer Applications, National Institute of Technology Kurukshetra, Kurukshetra, 136119, Haryana, India

    Sonia Mehla & Sarika Jain

Authors
  1. Sonia Mehla
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  2. Sarika Jain
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Corresponding author

Correspondence to Sonia Mehla .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. Department of Computer and Systems Sciences, Visva-Bharati University, Santiniketan, West Bengal, India

    Paramartha Dutta

  3. Department of Computer Science and Engineering, University of Kalyani, Kalyani, India

    Jyotsna Kumar Mandal

  4. Institute of Engineering and Management, Kolkata, West Bengal, India

    Abhishek Bhattacharya

  5. Institute of Engineering and Management, Kolkata, West Bengal, India

    Soumi Dutta

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Mehla, S., Jain, S. (2019). Rule Languages for the Semantic Web. In: Abraham, A., Dutta, P., Mandal, J., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 755. Springer, Singapore. https://doi.org/10.1007/978-981-13-1951-8_73

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