SPARQL

TL;DR for operators A compliance system does not always fail because the rules conflict. Sometimes it has identified the relevant rules but lacks one or more facts needed to determine whether any of them is satisfied. Bouche-Pillon and Zarat’s legal decision-support framework1 makes that distinction operational. It represents cases and legal knowledge as knowledge graphs, executes formalized rules, handles defaults and exceptions, combines the surviving results into an overall normative conclusion, and connects decided outcomes back to their legal sources. ...

TL;DR for operators A natural-language interface to a knowledge graph can look healthy while producing the wrong answer. In the experiments behind EXYGEN, several configurations generated executable SPARQL more than 97% of the time yet achieved zero correct execution results. The strongest configuration reached 97.8% executability and 41.9% relaxed exact match on execution results only after combining graph-derived metadata, explicit schema constraints, retrieved triples, and question-query examples. ...