Knowledge Graph Construction and Applications in E-Retailing: A Review of Literature

Billy CHIU, Wing Kuen Eric SEE-TO, Eric W. T. NGAI

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)peer-review

Abstract

A knowledge graph (KG) describes entities and their relations in the form of nodes and edges. The property of KG’s modeling topological data has brought possible solutions for many tasks, including web search and information retrieval. Recently, e-retailers start utilizing KGs to optimize their work processes, aiming to develop efficient approaches to handle massive, diverse, and interconnected data about suppliers, products, and customers. Various approaches have been proposed, but extant knowledge seems to be rather scarce. Thus, this study summarizes how KGs have recently been constructed and applied in the e-retailing domain. We perform a systematic literature review and categorize KG literature into multiple aspects based on their construction methodologies, application areas, and roles in supporting retailing workflow. We also describe few challenges (e.g., product variety and domain complexity), which can provide insights for future research.
Original languageEnglish
Title of host publicationPACIS 2021 Proceedings
Number of pages13
Publication statusPublished - 12 Jul 2021
EventTwenty-fifth Pacific Asia Conference on Information Systems: Information Systems for the Future - Dubai, United Arab Emirates
Duration: 12 Jul 202114 Jul 2021
https://www.pacis2021.org/

Conference

ConferenceTwenty-fifth Pacific Asia Conference on Information Systems
Abbreviated titlePACIS2021
Country/TerritoryUnited Arab Emirates
CityDubai
Period12/07/2114/07/21
Internet address

Keywords

  • knowledge graphs application
  • retail graphs
  • knowledge graph creation

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