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A Semantic Portal to Improve Search on Rivers State’s Independent National Electoral Commission

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Machine Learning and the Internet of Things in Education

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1115))

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Abstract

Semantic search portals in electoral processes have emerged as a promising approach to enhance the accessibility, efficiency, and transparency of electoral information. This research focuses on applying a semantic search portal within Nigeria’s context of the Independent National Electoral Commission (INEC). The objective is to provide an overview of the benefits and implications of implementing a semantic search portal in the electoral domain. The semantic search portal leverages the power of semantic web technologies and ontologies to enable efficient and intelligent information retrieval. The portal facilitates accurate and context-aware search results by representing electoral data and knowledge in a structured and interconnected manner. It allows users, including citizens, researchers, and electoral officials, to access and retrieve relevant information regarding the electoral process, candidates, and policies. Developing and implementing the semantic search portal in collaboration with INEC Nigeria entails several crucial steps. These include the creation of a comprehensive ontology that captures the complexity of the electoral domain, integrating diverse data sources, utilizing natural language processing techniques for query understanding, and incorporating machine learning algorithms for search relevance and personalization. By embracing a semantic search portal, INEC Nigeria can realize numerous benefits, such as improved access to electoral information, enhanced decision-making processes, increased citizen engagement, and greater transparency in the electoral process. The portal can also contribute to data-driven insights, predictive analytics, and policy evaluation, thus empowering stakeholders to make informed decisions and strengthen democratic practices.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Applied Artificial Intelligence Research Centre, Near East University, Nicosia, 99138, Turkey

    John Bush Idoko

  2. Department of Software Engineering, Near East University, North Cyprus, Mersin-10, Turkey

    David Tumuni Ogolo

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  1. John Bush Idoko
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  2. David Tumuni Ogolo
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Correspondence to John Bush Idoko .

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Editors and Affiliations

  1. Computer Engineering Department, Near East University, Lefkosa, Cyprus

    John Bush Idoko

  2. Department of Computer Engineering, Near East University, Nicosia, Cyprus

    Rahib Abiyev

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Idoko, J.B., Ogolo, D.T. (2023). A Semantic Portal to Improve Search on Rivers State’s Independent National Electoral Commission. In: Idoko, J.B., Abiyev, R. (eds) Machine Learning and the Internet of Things in Education. Studies in Computational Intelligence, vol 1115. Springer, Cham. https://doi.org/10.1007/978-3-031-42924-8_12

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