Multilingual Knowledge Graphs: Challenges and Opportunities

• Published in: International journal of knowledge content development & technology Vol. 14; no. 4; pp. 101 - 111
• Main Authors: Mandal, Partha Sarathi, Mandal, Sukumar
• Format: Journal Article
• Language: English
• Published: Chungju 건국대학교 지식콘텐츠연구소 01.01.2024; Research of Knowledge Content Development & Technology; 지식콘텐츠연구소
• Subjects: Content creation; Design; Digital systems; Graphs; Information literacy; Information retrieval; Interdisciplinary subjects; Interoperability; Knowledge management; Knowledge representation; Language; Linguistics; Multilingualism; Natural language processing; Ontology; Queries; Semantics; Trends; Unstructured data; 문헌정보학; Semantic Web; Accessing Data; Knowledge Graphs; Multilingualism; Bilingualism; Data Integration
• ISSN: 2234-0068; 2287-187X
• DOI: 10.5865/IJKCT.2024.14.4.101

Multilingual Knowledge Graphs (MKGs) have emerged as a crucial component in various natural language processing tasks, enabling efficient representation and utilization of structured knowledge across multiple languages. One can get data, information, and knowledge from various sectors, like libraries, archives, institutional repositories, etc. Variable quality of metadata, multilingualism, and semantic diversity make it a challenge to create a digital library and multilingual search facility. To accept these challenges, there is a need to design a framework to integrate various structured and unstructured data sources for integration, unification, and sharing databases. These are controlled using linked data and semantic web approaches. In future, multilingual knowledge graph overcomes all the linguistic nuances, technical barriers like semantic interoperability, data harmonization etc and enhance cooperation and collaboration throughout the world. Through a comprehensive analysis of the current state-of-the-art techniques and ongoing research efforts, this paper aims to offer insights into the future directions and potential advancements in the field of Multilingual Knowledge Graphs. This paper deals with a multilingual knowledge graph and how to build up a multilingual knowledge graph. It also focuses on the various challenges and opportunities for designing multilingual knowledge graphs.