An Intelligent Arabic Legal Assistant system (IALAS) based on Ontology

Laws and regulations can be modified by experts in the legal field in response to various changes in the lives of individuals and communities. Massive changes and updates are constantly being made to laws to adapt to societal changes. This creates a huge database of legal information. Manually searching for information in this database takes a lot of time and effort and affects the efficiency and governance of all administrative and community affairs. To solve this problem, this paper proposes a solution based on one of the types of artificial intelligence. It is an ontology-based solution. This paper explains the design and development of a computer advisory system that helps in making legal decisions based on a proposed ontological structure using Protégé. A set of tools were also chosen to develop the proposed system. For operation, OwlReady2 with SPARQL query language was also used to extract content from the proposed ontology, Camel tools as a natural language processing (Arabic) tool, and SQLite for the database. This work contributes to filling a gap regarding the Arab cognitive modeling of Arab laws to keep pace in sustainable cognitive cities.