amsys 19(18): e2

Research Article

A search engine dedicated to the environment around the Congo basin area: Model and Architecture

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  • @ARTICLE{10.4108/eai.23-3-2018.156247,
        author={Mouhamadou Saliou Diallo and Ousmane Sall and Marie N’diaye and Belmond Djomo},
        title={A search engine dedicated to the environment around the Congo basin area: Model and Architecture},
        journal={EAI Endorsed Transactions on Ambient Systems},
        volume={6},
        number={18},
        publisher={EAI},
        journal_a={AMSYS},
        year={2019},
        month={1},
        keywords={search engine, thematic research, search relevance, spiders, web crawlers, results optimization},
        doi={10.4108/eai.23-3-2018.156247}
    }
    
  • Mouhamadou Saliou Diallo
    Ousmane Sall
    Marie N’diaye
    Belmond Djomo
    Year: 2019
    A search engine dedicated to the environment around the Congo basin area: Model and Architecture
    AMSYS
    EAI
    DOI: 10.4108/eai.23-3-2018.156247
Mouhamadou Saliou Diallo1,*, Ousmane Sall2, Marie N’diaye3, Belmond Djomo4
  • 1: Laboratoire d’analyse numérique et d’informatique, Université Gaston Berger de Saint -Louis
  • 2: Université de Thiès
  • 3: Université de Ziguinchor
  • 4: MIT University Dakar
*Contact email: ms.diallo@outlook.fr

Abstract

Considering the environmental field around the Congo Basin area (in Central Africa), many initiatives implement and communicate on their activities via the internet, yet the information they provide remains very little exploited, even inaccessible. The data is scattered on the internet and it is quite difficult to find information in a fairly precise way. Despite the existence of Internet research services (search engines) developed to facilitate the search for information in the vast data network that is the Internet, there are still concerns about quality, and the relevance of information provided in as research results. In this context, we present in this paper a construction approach and the architecture of a search engine dedicated to the environment around the Congo Basin area. This paper develops a theoretical approach that uses scientific analysis and empirical approaches to conceptualize the optimization of the relevance of the results of a thematic search engine by aggregating tools. This approach is a compilation of ideas, methods and tools that, put together, will improve the relevance of the results of a thematic research.