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International Conference on Advanced Intelligent Systems and Informatics

AISI 2018: Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018 pp 261–269Cite as

ARARSS: A System for Constructing and Updating Arabic Textual Resources

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 845))

Abstract

The growth of electronically readable Arabic content available on the web has become a rich source from which to build new corpora or update the existing ones. The availability of such corpora will be beneficial for Arabic corpus linguistics, computational linguistics, and natural language processing. In this paper, we present ARARSS, a tool capable of automatically constructing and updating textual corpora benefiting from the Rich Site Summary (RSS) feeds. ARARSS is capable of collecting the texts in a properly categorized manner according to user needs, in addition to their metadata (for example, location, time, and topic) as provided by RSS sources. We used ARARSS to construct a modern standard Arabic corpus comprising 117,819 texts and more than 28 million words. ARARSS is an open source tool and freely available to download (http://corpus.kacst.edu.sa/more_info.jsp) along with the constructed corpus.

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Notes

  1. 1.

    http://www.sqlabs.com/sqlitemanager.php.

  2. 2.

    http://rometools.github.io/rome/.

  3. 3.

    https://jsoup.org.

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Author information

Authors and Affiliations

  1. The National Center for Artificial Intelligence and Big Data, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia

    Abdulmohsen Al-Thubaity & Muneera Alhoshan

Authors
  1. Abdulmohsen Al-Thubaity
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  2. Muneera Alhoshan
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Corresponding author

Correspondence to Muneera Alhoshan .

Editor information

Editors and Affiliations

  1. Information Technology Department, Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Ain Shams University, Cairo, Egypt

    Mohamed F. Tolba

  3. Dubai International Academic City, The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  4. Faculty of Computers and Information, Benha University, Benha, Egypt

    Ahmad Taher Azar

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Cite this paper

Al-Thubaity, A., Alhoshan, M. (2019). ARARSS: A System for Constructing and Updating Arabic Textual Resources. In: Hassanien, A., Tolba, M., Shaalan, K., Azar, A. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018. AISI 2018. Advances in Intelligent Systems and Computing, vol 845. Springer, Cham. https://doi.org/10.1007/978-3-319-99010-1_24

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