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Information Retrieval in XML Document: State of the Art

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International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023) (AI2SD 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 930))

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Abstract

Nowadays, processing a large mass of documents has become indispensable. Moreover, the abundance of information available today complicates the task of the user to access and find relevant information in a large collection of documents. Thus, the exploitation of large documentary collections requires the implementation of an efficient tool allowing a relevant and efficient retrieval. In a practical sense, the relevance of an Information Retrieval System depends on the document representation model.

In this paper, we delve into Information Retrieval approaches within the context of XML documents. The primary objective of this study is to emphasize the importance of considering various aspects, such as the semantic aspect, structural aspect, and others, to enhance the performance of an Information Retrieval System. By incorporating these aspects into the system, we aim to improve the precision and efficiency of retrieving relevant information from XML document collections, addressing the challenges posed by the ever-growing volume of available data in today’s information-rich environment.

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Author information

Authors and Affiliations

  1. IRF-SIC Laboratory, Ibn Zohr University, Agadir, 80000, Morocco

    Imane Belahyane, Mouad Mammass, Hasna Abioui & Ali Idarrou

Authors
  1. Imane Belahyane
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  2. Mouad Mammass
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  3. Hasna Abioui
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  4. Ali Idarrou
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Contributions

Mouad Mammass, Hasna Abioui and Ali Idarrou–These authors contributed equally to this work.

Corresponding author

Correspondence to Imane Belahyane .

Editor information

Editors and Affiliations

  1. Sciences and Techniques of Tangier, Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  3. Department of Automatics and Applied Software at the Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

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Belahyane, I., Mammass, M., Abioui, H., Idarrou, A. (2024). Information Retrieval in XML Document: State of the Art. In: Ezziyyani, M., Kacprzyk, J., Balas, V.E. (eds) International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023). AI2SD 2023. Lecture Notes in Networks and Systems, vol 930. Springer, Cham. https://doi.org/10.1007/978-3-031-54318-0_28

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