Best Answers over Incomplete Data : Complexity and First-Order Rewritings Amélie Gheerbrant, Cristina Sirangelo To cite this version: Amélie Gheerbrant, Cristina Sirangelo. Best Answers over Incomplete Data : Complexity and First- Order Rewritings. the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI 2019), Aug 2019, Macao, China. hal-02971723 HAL Id: hal-02971723 https://hal.archives-ouvertes.fr/hal-02971723 Submitted on 19 Oct 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Best Answers over Incomplete Data : Complexity and First-Order Rewritings Amelie´ Gheerbrant and Cristina Sirangelo Universite´ de Paris, IRIF, CNRS, F-75013 Paris, France famelie,
[email protected] Abstract as if nulls were usual data values, thus merely using the stan- dard database query engine to compute certain answers. Answering queries over incomplete data is ubiqui- In general though it is a common occurrence that few if tous in data management and in many AI applica- any certain answers can be found. If there are no certain an- tions that use query rewriting to take advantage of swers, it is still useful to provide a user with some answers, relational database technology.