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Issue No. 06 - November/December (2017 vol. 19)
ISSN: 1520-9202
pp: 44-51
Jans Aasman , Franz Inc.
ABSTRACT
The enterprise knowledge graph has emerged as one of the most useful applications of graph database technology today. Manifest in three different varieties for internal operations, products and services, and customer 360-views, respectively, these graphs hinge on a linked enterprise data approach to determine relationships between graphs and individual nodes of data. Buttressed by semantic technology standards for ontologies, RDF graphs, and taxonomies, enterprise knowledge graphs provide a range of opportunities for contemporary enterprises when used alongside additional modern developments in artificial intelligence and visual querying.
INDEX TERMS
business data processing, database management systems, graph theory, knowledge management, ontologies (artificial intelligence), query processing, semantic Web
CITATION

J. Aasman, "Transmuting Information to Knowledge with an Enterprise Knowledge Graph," in IT Professional, vol. 19, no. 6, pp. 44-51, 2018.
doi:10.1109/MITP.2017.4241469
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