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Using ontology for goal-based query to evaluate social media data

Author

Listed:
  • Tengku Adil Tengku Izha

    (Faculty of Information Management, Universiti Teknologi MARA (UiTM) Selangor, Malaysia)

  • Mohammad Fazli Baharuddin

    (Faculty of Information Management, Universiti Teknologi MARA (UiTM) Selangor, Malaysia)

  • Ahmad Nadzri Mohamad

    (Faculty of Information Management, Universiti Teknologi MARA (UiTM) Selangor, Malaysia)

  • Ahmad Azman Mohamad Ramli

    (Faculty of Information Management, Universiti Teknologi MARA (UiTM) Selangor, Malaysia)

  • Mohd Shamsul Mohd Shoid

    (Faculty of Information Management, Universiti Teknologi MARA (UiTM) Selangor, Malaysia)

  • Wan Mohd Hafiz Wan Hasnol

    (Faculty of Information Management, Universiti Teknologi MARA (UiTM) Kedah Campus, Kedah, Malaysia)

Abstract

Social media has a potential to be used as a professional and social networking site to share interest. Social media such as Twitter can be used by users to share similar interests on the Internet. Despite the various existing methodologies on ontology, there are many opportunities that need to be explored. The aim of this paper focuses on structuring big data to set up a goal based on ontology to show the dependency relationship between social data and goal. At this stage of the research, we examine user trends on social media based on certain query as this query is defined as a goal. We use NodeXL to obtain and analyze data from Twitter. The results discuss the relationship for data from Twitter in relation to the specific goal. The outcome of this paper will contribute to a significant achievement that provides an important innovation in research methods in big data era to trace how data flows across the social media and how to analyze this data.

Suggested Citation

  • Tengku Adil Tengku Izha & Mohammad Fazli Baharuddin & Ahmad Nadzri Mohamad & Ahmad Azman Mohamad Ramli & Mohd Shamsul Mohd Shoid & Wan Mohd Hafiz Wan Hasnol, 2016. "Using ontology for goal-based query to evaluate social media data," Journal of Advances in Humanities and Social Sciences, Dr. Yi-Hsing Hsieh, vol. 2(2), pages 107-118.
    • Handle: RePEc:apb:jahsss:2016:p:107-118
    DOI: 10.20474/jahss-2.2.5
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    References listed on IDEAS

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    1. Mauricio Barcellos Almeida & Ricardo Rodrigues Barbosa, 2009. "Ontologies in knowledge management support: A case study," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(10), pages 2032-2047, October.
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    Cited by:

    1. A. G. Van Der Vyver & Duncan Gillies, 2017. "Analysing Public Perceptions Of International Events By Using Geo-Located Twitter Data," International Journal of Humanities, Arts and Social Sciences, Dr. Mohammad Hamad Al-khresheh, vol. 3(2), pages 64-70.
    2. Maria Monica A. Gonzales & Elijah James D. Palaca & Saimehen Lloid P. Iluis & Mary Ann E. Tarusan, 2018. "Casting shadows of doubt: Perspectives of reputable journalists on fake news," Journal of Advances in Humanities and Social Sciences, Dr. Yi-Hsing Hsieh, vol. 4(6), pages 267-278.
    3. Widyastuti Reni Dwi & Wulandari Renny, 2017. "Affecting compliant with the willingness to pay tax as an intervening variable factor (Studies on the taxpayer owners of SMEs in Pontianak KPP)," Journal of Advances in Humanities and Social Sciences, Dr. Yi-Hsing Hsieh, vol. 3(3), pages 152-163.

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