Arabic Knowledge Graph Construction: A close look in the present and into the future

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. (c) 2022 The Author(s). Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Automated summary

With the growth of data on the Web, the need for efficient methods to extract valuable information from the data has increased. Knowledge graphs provide an efficient and easy way to represent and organize data. The construction of Arabic Knowledge Graph (AKG) faces challenges due to limited Arabic data and lack of effective language processing tools. This research reviews KG construction best practices and discusses the challenges and potential solutions in constructing AKG.