{"title":"Enabling Completeness-aware Querying in SPARQL","authors":"Luis Galárraga, K. Hose, Simon Razniewski","doi":"10.1145/3068839.3068843","DOIUrl":null,"url":null,"abstract":"Current RDF knowledge bases (KBs) are highly incomplete. This incompleteness is a serious problem both for data users and producers. Users do not have guarantees that queries that are run on a KB deliver complete results. Data producers, on the other hand, are blind about the parts of the KB that are incomplete. Yet, completeness information management is poorly supported in the Semantic Web. No RDF storage engine supports reasoning with completeness statements. Moreover, SPARQL cannot express completeness constraints for queries. Motivated by these observations, this paper offers a vision on completeness-aware RDF querying. Our vision includes (1) the sketch of a method to reason about completeness in RDF knowledge bases, (2) two approaches to represent completeness information for SPARQL queries, and (3) an extension for the SPARQL language to express completeness constraints in queries.","PeriodicalId":211805,"journal":{"name":"Proceedings of the 20th International Workshop on the Web and Databases","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 20th International Workshop on the Web and Databases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3068839.3068843","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Current RDF knowledge bases (KBs) are highly incomplete. This incompleteness is a serious problem both for data users and producers. Users do not have guarantees that queries that are run on a KB deliver complete results. Data producers, on the other hand, are blind about the parts of the KB that are incomplete. Yet, completeness information management is poorly supported in the Semantic Web. No RDF storage engine supports reasoning with completeness statements. Moreover, SPARQL cannot express completeness constraints for queries. Motivated by these observations, this paper offers a vision on completeness-aware RDF querying. Our vision includes (1) the sketch of a method to reason about completeness in RDF knowledge bases, (2) two approaches to represent completeness information for SPARQL queries, and (3) an extension for the SPARQL language to express completeness constraints in queries.
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