EventKG - the Hub of Event Knowledge on the Web - and Biographical Timeline Generation
Table 12: Evaluation of EventKG’s time information. For EventKG and the reference sources, the percentage of correct, wrong and missing event dates with respect to the user annotations in our sample is shown. These are based on the random sample of events where the reference sources show disagreement between time information provided.
['[BOLD] Source', '[BOLD] Start Dates  [BOLD] Correct', '[BOLD] Start Dates  [BOLD] Wrong', '[BOLD] Start Dates  [BOLD] Missing', '[BOLD] End Dates  [BOLD] Correct', '[BOLD] End Dates  [BOLD] Wrong', '[BOLD] End Dates  [BOLD] Missing', '[BOLD] Start and End Dates  [BOLD] Correct', '[BOLD] Start and End Dates  [BOLD] Wrong', '[BOLD] Start and End Dates  [BOLD] Missing', '[BOLD] Start and End Dates  [BOLD] Precision']
Wikidata and YAGO provide the next highest coverage of time information. In terms of precision, EventKG outperforms these two reference sources by 21% (Wikidata) and 49% (YAGO). This result confirms the quality of the proposed rule-based time fusion approach.