Jul 6, 2020 · While SPARQL does offer optional patterns for this purpose, their query answers often suffer from an unintuitive matching behavior. In contrast, ...

We argue for structural preferences to achieve fine-grained control of heterogeneity in the query answers.

Preference-driven Control over Incompleteness of Knowledge Graph Query Answers Proceedings of the 12th ACM Conference on Web Science, WebSci 2020 ...

The preset work aims at giving insights about how the theory behind the study of complex networks can be profitably used to analyse the increasing complexity ...

Co-authors ; Preference-driven Control over Incompleteness of Knowledge Graph Query Answers. T Affeldt, S Mennicke, WT Balke. 12th ACM Conference on Web Science, ...

We study the properties of optimal patterns, our novel exten- sion of SPArql, that allows for a fine-grained control over incompleteness of query answers in ...

Preference-driven Control over Incompleteness of Knowledge Graph Query Answers. Joint work with Till Affeldt, Wolf-Tilo Balke WebSci '20: 12th ACM Conference on ...

May 11, 2020 · Preference-driven Control over Incompleteness of Knowledge Graph Query Answers Proceedings of the 12th ACM Conference on Web Science, WebSci ...

Preference-driven Control over Incompleteness of Knowledge Graph Query Answers · Using Domain Knowledge to Rank SPARQL Query Results According to User ...

Next one up was Till from TU Braunschweig on “Preference-driven Control over Incompleteness of Knowledge Graph Query Answers”. They designed a new operator ...