Abstract
With the widespread growth of data on the Web, the need for efficient methods to get and arrange valuable information from these big noisy data is increased. The knowledge graph (KG) is a way to represent and organize the data in a more efficient and easy way to modify, use, and understand. Recently, KG has become a new hotspot topic in academic and business research; it is used in many applications such as intelligent question-answering (QA), recommender systems, map navigation, etc. There has been a tendency to construct KG in different languages such as English, Chinese, Persian, or Arabic. Constructing KG faces many challenges and obstacles, especially constructing Arabic Knowledge Graph (AKG) due to the sparse Arabic data in online encyclopedias and academic research, as well as the lack of tools that can process the proprietary nature of the Arabic language effectively, besides other challenges. This research aims to review and discuss KG construction best practices (systems, phases, problems, and challenges) with highlighting the Arabic perspective. Besides, it elaborates a classification of the AKG challenges and investigates the potential solutions and opportunities that might define the key future research directions of constructing AKG.