We present a formal Arabic wordnet built on the basis of a carefully designed ontology
hereby referred to as the Arabic Ontology. The ontology provides a formal representation of …

Recently, a large number of automated applications are developed to improve the retrieval
of different types of knowledge. However, there are few automated applications of semantic …

Arabic sentiment analysis is a process that aims to extract the subjective opinions of different
users about different subjects since these opinions and sentiments are used to recognize …

Text Mining is a set of techniques that analyzes large masses of data, extract relations that
are unknown beforehand, and provide solutions to help decision-making. Text mining had …

Ontologies enable the sharing and reusing of knowledge, allowing the interoperation and
combination of information systems. Automatic ontological relation extraction from text is an …

Quran is the most significant religious document in the Arabic language in Islamic law.
Several Quranic search engines have been designed and widely used for the past two …

Arabic language is a challenging language for automatic processing. This is due to several
intrinsic reasons such as Arabic multi-dialects, ambiguous syntax, syntactical flexibility and …

Providing personalized e-learning environment is normally relying on a domain model
representing the knowledge to be acquired by learners and learners' characteristics to be …

Relation extraction from unstructured Arabic text is especially challenging due to the Arabic
language complex morphology and the variation in word semantics and lexical categories …

Ontologies are used to model knowledge in several domains of interest, such as the
biomedical domain. Conceptualization is the basic task for ontology building. Concepts are …