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.
|Number of pages||2|
|Publication status||Published - 13 Apr 2018|
|Event||25th Automated Reasoning Workshop: Bridging the Gap between Theory and Practice - Cambridge, United Kingdom|
Duration: 12 Apr 2018 → 13 Apr 2018
|Workshop||25th Automated Reasoning Workshop|
|Abbreviated title||ARW 2018|
|Period||12/04/18 → 13/04/18|