ANNOBIC ANNOTATION OF ARABIC RSS FEED

Authors

  • Hanaa Ghareib Hendi Faculty of Computers & Information, Fayoum University, Egypt
  • Haytham Al-Feel Faculty of Computers & Information, Fayoum University, Egypt
  • Ehab E. Hassanein Faculty of Computers & Information Cairo University, Cairo, Egypt

DOI:

https://doi.org/10.20319/mijst.2018.43.8796

Keywords:

Semantic Annotation, Arabic Language, RSS, Ontology

Abstract

Annotation is adding metadata to pages to become more meaningful and readable for machines. However, many Semantic annotation tools developed which proved their success in multiple languages, but Arabic is none of them. We present AnnoBic which is an Arabic semantic annotation tool for RSS feeds.

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Published

2018-11-19

How to Cite

Hendi, H. G., Al-Feel, H., & Hassanein, E. E. (2018). ANNOBIC ANNOTATION OF ARABIC RSS FEED. MATTER: International Journal of Science and Technology, 4(3), 87–96. https://doi.org/10.20319/mijst.2018.43.8796

Issue

Vol. 4 No. 3 (2018): Regular Issue

Section

Articles

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