M. Calautti, S. Greco, Cristian Molinaro, I. Trubitsyna
{"title":"Preference-based Inconsistency-Tolerant Query Answering under Existential Rules (Discussion Paper)","authors":"M. Calautti, S. Greco, Cristian Molinaro, I. Trubitsyna","doi":"10.24963/kr.2020/21","DOIUrl":null,"url":null,"abstract":"Query answering over inconsistent knowledge bases is a problem that has attracted a great deal of interest over the years.\nDifferent inconsistency-tolerant semantics have been proposed, and most of them are based on the notion of repair, that is, a \"maximal\" consistent subset of the database.\nIn general, there can be several repairs, so it is often natural and desirable to express preferences among them.\nIn this paper, we propose a framework for querying inconsistent knowledge bases under user preferences for existential rule languages.\nWe provide generalizations of popular inconsistency-tolerant semantics taking preferences into account and study the data and combined complexity of different relevant problems.","PeriodicalId":312822,"journal":{"name":"Sistemi Evoluti per Basi di Dati","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sistemi Evoluti per Basi di Dati","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24963/kr.2020/21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
Query answering over inconsistent knowledge bases is a problem that has attracted a great deal of interest over the years.
Different inconsistency-tolerant semantics have been proposed, and most of them are based on the notion of repair, that is, a "maximal" consistent subset of the database.
In general, there can be several repairs, so it is often natural and desirable to express preferences among them.
In this paper, we propose a framework for querying inconsistent knowledge bases under user preferences for existential rule languages.
We provide generalizations of popular inconsistency-tolerant semantics taking preferences into account and study the data and combined complexity of different relevant problems.