The internet transmits a huge amount of information and information exchange. The premise is that processing the information internet transmits needs to become machine automated. A tool that can ease the information automation process is WordNet (WN). WN is “a large lexical database for semantic relations between words.”

Arabic is a common language to convey information on the internet. Arabs use and consume Arabic in communication and to convey information. In addition, non-Arabs use Arabic commonly to investigate Islam’s holy book (Quran), teachings, and other religious content using the original script that happened to be in Arabic. Despite the amount of digital information in Arabic, the research and implantation of Arabic process automation does not seem to meet the demand.

This special issue highly welcomes research on improving Arabic WordNet (AWN) and moving it forward. Therefore, this special issue is to shed light on moving AWN forward. Namely, the special issue seeks research in three main themes. First, this Special Issue proposal is seeking research in the automation of Arabic information processing using AWN. Second, it would be intriguing to discover how AWN can benefit from applying solutions that researchers made for English WN (EWN). Research and implementation of EWN exceeds that of AWN. Therefore, using research that enhanced EWN on AWN for it to bare information can lead to moving AWN forward. Finally, it is important to upgrade AWN via integrating AWN into other technologies. For example, researchers can enhance machine learning by using AWN as the lexical source. In addition, researchers can move AWN forward by using linguistic ontology to add a semantic level over the AWN.