The XML and semantic web: A systematic review on technologies

Abstract

The web and associated data have been around before the advent of big data and its related concepts. The semantic web refers to a Web of Data consisting of all sorts of data types and forms. In the context of Web of Data, many organizations prefer Linked Data formats for data publication, sharing and usage based on semantic web (SW) technologies. Conversely, the Extensible Markup Language (XML) is the commonly used data exchange format that the world wide web (WWW) uses today. Furthermore, innumerable international data exchange formats including Moving Picture Experts Group-7 (MPEG-7) and Institute of Electrical and Electronics Engineers Learning Object Metadata (IEEE LOM) rely on XML schema, and consequently, the web has a massive volume of XML format-based datasets. Of interest is the difference between SW and XML data models, frameworks as well as the language for implementing data queries. Hence, it is necessary to pursue interoperability and integration technologies for bridging the gap between SW and XML frameworks to ensure seamless data handling and retrieval in the web. The systematic survey used Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology alongside DistillerSR to review articles addressing the interoperability and integration of XML and SW. The advanced search query focused on the article title, abstract, full text, and keywords that are related to the XML and SW technologies.