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Semantic Search Engine Optimisation (SSEO) for Dynamic Websites: A Review

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  • Mohammed J. Sadeeq

    (Information Technology Department, Duhok Polytechnic University, Duhok – Kurdistan Region, Iraq)

  • Subhi R. M. Zeebaree

    (Information Technology Department, Duhok Polytechnic University, Duhok – Kurdistan Region, Iraq)

Abstract

The billions of databases, worldwide, provide an increasing amount of information to the people. As a result, the researchers have to seek knowledge about the resources, which were generically known as the search engines. One such search technique that is popularly used is the semantic search technique which improves the search accuracy by determining the purpose of the search along with the contextual meaning of the terms which appeared in the data space or the web for generating accurate results. Many search engines exist today, which makes it difficult to collect useful data. In this paper, many types of research depended which prepared to describe the Semantic Search and Semantic Web techniques. Various types of semantic search engines are investigated and the differences between the Semantic Search and Semantic Search keywords are determined. Additionally, the benefits of using Semantic Search were highlighted. The literature review and the findings of the case study helped in understanding the new constructs. These researches also determined the relationship between the new and the previously existing constructs based on their perspective regarding the extension of Bedny’s activity theory with regards to the SEO promotion techniques. They added the functional consequences of extending Bedny’s activity theory faced by the promotion managers. The researchers have summarised the history of semantic search and its global position in search engine generation. The researchers also highlighted the role played by the search engines in the semantic search and smart web technologies.

Suggested Citation

  • Mohammed J. Sadeeq & Subhi R. M. Zeebaree, 2021. "Semantic Search Engine Optimisation (SSEO) for Dynamic Websites: A Review," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 148-158.
  • Handle: RePEc:aif:journl:v:5:y:2021:i:3:p:148-158
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    References listed on IDEAS

    as
    1. Glena Aziz Qadir & Subhi R. M Zeebaree, 2021. "Evaluation of QoS in Distributed Systems: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 89-101.
    2. Kawaljeet Kaur Kapoor & Kuttimani Tamilmani & Nripendra P. Rana & Pushp Patil & Yogesh K. Dwivedi & Sridhar Nerur, 2018. "Advances in Social Media Research: Past, Present and Future," Information Systems Frontiers, Springer, vol. 20(3), pages 531-558, June.
    3. Kurdistan Wns HamaAli & Subhi R. M. Zeebaree, 2021. "Resources Allocation for Distributed Systems: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 76-88.
    4. Kosrat Dlshad Ahmed & Subhi R. M. Zeebaree, 2021. "Resource Allocation in Fog Computing: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 54-63.
    5. Chnar Mustafa Mohammed & Subhi R.M Zeebaree, 2021. "Sufficient Comparison Among Cloud Computing Services: IaaS, PaaS, and SaaS: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 17-30.
    6. A. S. Sarlis & I. C. Drivas & D. P. Sakas, 2017. "Implementation and Dynamic Simulation Modeling of Search Engine Optimization Processes. Improvement of Website Ranking," Springer Proceedings in Business and Economics, in: Androniki Kavoura & Damianos P. Sakas & Petros Tomaras (ed.), Strategic Innovative Marketing, pages 437-443, Springer.
    7. Kavi B. Obaid & Subhi R. M. Zeebaree & Omar M. Ahmed, 2020. "Deep Learning Models Based on Image Classification: A Review," International Journal of Science and Business, IJSAB International, vol. 4(11), pages 75-81.
    8. Baydaa Hassan Husain & Subhi R. M. Zeebaree, 2021. "Improvised Distributions framework of Hadoop: A review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 31-41.
    9. Zhala Jameel Hamad & Subhi R. M. Zeebaree, 2021. "Recourses Utilization in a Distributed System: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 42-53.
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