High Quality Arabic Lexical Ontology Based on MUHIT, WordNet, SUMO and DBpedia

  • Eslam KamalEmail author
  • Mohsen Rashwan
  • Sameh Alansary
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9041)


In this paper, we aim to move ontology-based Arabic NLP forward by experimenting with the generation of a comprehensive Arabic lexical ontology using multiple language resources. We recommend a combination of MUHIT, WordNet and SUMO and use a simple method to link them, which results in the generation of an Arabic-lexicalized version of the SUMO ontology. Then, we evaluate the generated ontology, and propose a method for increasing its named entity coverage using DBpedia, English-to-Arabic Transliteration, and Named Entity Recognition. We end up with an Arabic lexical ontology that has 228K Arabic synsets, linked to 7.8K concepts and 143K instances. This ontology achieves a precision of 96.9% and recall of 75.5% for NLU scenarios.


Arabic NLP Ontology-based Arabic NLP Arabic Language Resources Arabic Lexical Ontology Arabic WordNet Arabic SUMO Arabic Ontology Multilingual Dictionary MUHIT Arabic Named Entities 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Arab Academy for Science, Technology and Maritime TransportCairoEgypt
  2. 2.The Engineering Company for the Development of Computer Systems, RDICairoEgypt
  3. 3.Bibliotheca AlexandrinaAlexandriaEgypt

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