Introducing Subjective Knowledge Graphs

• Published in: 2021 IEEE 25th International Enterprise Distributed Object Computing Conference (EDOC) pp. 61 - 70
• Main Authors: Navarrete, Francisco J., Vallecillo, Antonio
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-10-2021
• Subjects: Consensus; Decision support systems; Knowledge based systems; Knowledge Graphs; Law; Navigation; Opinions; Probabilistic logic; Subjective Logic; Uncertainty
• ISSN: 2325-6362
• DOI: 10.1109/EDOC52215.2021.00017

Knowledge-based applications that deal with uncertainty usually represent it by means of a confidence score that expresses the probability that a given fact is true. However, different users may have distinct opinions about the same fact, something that is not considered in existing proposals. This is critical in a number of areas where individual opinions need to be taken into account when making informed decisions, particularly when these are to be made by consensus. This paper introduces Subjective Knowledge Graphs (SKG), an extension to Probabilistic Knowledge Graphs that considers the individual opinions of separate users about the same facts, and allows reasoning about them. We show how SKGs can be implemented using standard graph databases and how the results of the queries can be enriched with the associated degrees of uncertainty.