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Integrating Ontology Learning and R for Providing Services Efficiently in Cities

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Advanced Informatics for Computing Research (ICAICR 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 955))

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Abstract

With the advancement in Artificial Intelligence, Intelligent systems are being implemented that are able to perform cognitive functions like human beings but due to the complexity in this domain and lack of measure of semantics in program, it is difficult to analyze that how these functions are performed, what functions are to be considered, to what degree they are to be considered. As ontology has been proven the excellent mean of providing semanticity, definitions that are machine understandable are created through ontology. The purpose of creating knowledge representation through ontology that is to analyze the data related to urban services. In this way, intelligent systems will use the definitions created through ontology for doing analysis. This is to be done to provide services in cities in a better way. This paper deals with the learning of base ontology in specific domain from a relational database by making use of plug-in available in Protégé. By populating the ontology through learning, functions available in R will be used to remove the redundant/implied ontological terms. This will evaluate/curate the ontology.

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Authors and Affiliations

  1. National Institute of Technology, Kurukshetra, Haryana, India

    Anjali Hora & Sarika Jain

Authors
  1. Anjali Hora
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  2. Sarika Jain
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Corresponding author

Correspondence to Anjali Hora .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharshi Dayanand University, Rohtak, Haryana, India

    Ashish Kumar Luhach

  2. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

  3. National Chung Cheng University, Minxiong Township, Chiayi County, Taiwan

    Pao-Ann Hsiung

  4. Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Kamarul Bin Ghazali Hawari

  5. Saint Mary's University, Halifax, NS, Canada

    Pawan Lingras

  6. Department of Computer Science and Engineering, Jaypee University of Information Technology, Kandaghat, India

    Pradeep Kumar Singh

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Hora, A., Jain, S. (2019). Integrating Ontology Learning and R for Providing Services Efficiently in Cities. In: Luhach, A., Singh, D., Hsiung, PA., Hawari, K., Lingras, P., Singh, P. (eds) Advanced Informatics for Computing Research. ICAICR 2018. Communications in Computer and Information Science, vol 955. Springer, Singapore. https://doi.org/10.1007/978-981-13-3140-4_1

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  • DOI: https://doi.org/10.1007/978-981-13-3140-4_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3139-8

  • Online ISBN: 978-981-13-3140-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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