Enterprise knowledge graphs with applications to continuous monitoring systems. Issue 1 (11th March 2021)

• Record Type: Journal Article
• Authors: O'Leary, Daniel E.
• Is Part Of: Intelligent systems in accounting, finance and management. Volume 28:Issue 1(2021)
• Page Start: 84
• Page End: 93
• Publication Date: 2021-03-11
• Subjects: artificial intelligence -- business Intelligence -- continuous intelligence -- continuous monitoring systems -- enterprise continuous monitoring systems -- enterprise crowdsourcing -- enterprise knowledge graphs -- knowledge graph -- knowledge graphs in business -- knowledge representation; Accounting -- Data processing -- Periodicals; Business -- Data processing -- Periodicals; Expert systems (Computer science) -- Periodicals; Artificial intelligence -- Periodicals; 657.028563
• DOI: 10.1002/isaf.1491
• Languages: English
• ISSNs: 1055-615X

Abstract

Summary: Continuous monitoring systems generate continuous business intelligence by gathering text from a range of sources and typically storing that text information using snippets of text. Further, continuous monitoring systems derive information from those snippets, such as sentiment and new concepts emerging in the text, beyond the existing ontology and dictionaries. However, it is difficult for users to gather much additional information from large quantities of text snippets. As a result, this paper investigates introducing the notion of "knowledge graphs" into such systems and analyzes some of the potential applications and capabilities in business intelligence settings. As part of that analysis, this paper extends current‐generation continuous monitoring systems to include knowledge graphs.