Pattern-Based Reasoning to Investigate the Correctness of Knowledge Graphs

Kemas Wiharja, Jeff Z. Pan, Martin Kollingbaum, Yu Deng

Research output: Contribution to conferencePaperpeer-review


Most existing knowledge graph refinement approaches either focus on adding missing knowledge to the graphs, i.e., completion, or on identifying wrong information in the graphs, i.e. error detection. All of these approaches do not guarantee the extended knowledge graphs are consistent with the ontological schema of the input graph. The goal of this paper is to investigate the correctness of knowledge graphs by applying pattern-based reasoning. Experimental result shows that pattern-based reasoning could detect the problematic triplets in knowledge graphs.
Original languageEnglish
Number of pages2
Publication statusPublished - 13 Apr 2018
Event25th Automated Reasoning Workshop: Bridging the Gap between Theory and Practice - Cambridge, United Kingdom
Duration: 12 Apr 201813 Apr 2018


Workshop25th Automated Reasoning Workshop
Abbreviated titleARW 2018
Country/TerritoryUnited Kingdom
Internet address


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