Consistency and Provenance in Rule Processing

Autor:	Eric Jui-Yi Kao
Rok vydání:	2011
Předmět:	World Wide Web Consistency (database systems) Provenance Horn clause Information retrieval Computer science media_common.quotation_subject Perfect information Quality (business) Imperfect Rule processing Theme (computing) media_common
Zdroj:	Rule-Based Modeling and Computing on the Semantic Web ISBN: 9783642249075 RuleML America
DOI:	10.1007/978-3-642-24908-2_13
Popis:	Open collections of data and rules on the web are typically characterized by heterogeneous quality and imperfect consistency. In reasoning with data and rules on the web, it is important to know where an answer comes from (provenance) and whether the it is reasonable considering the inconsistencies (inconsistency-tolerance). In this paper, I draw attention to the idea that provenance and inconsistency-tolerance play mutually supporting roles under the theme of reasoning with imperfect information on the web. As a specific example, I make use of basic provenance information to avoid unreasonable answers in reasoning with rules and inconsistent data.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::247666008dd85c97954dab0af521d659 https://doi.org/10.1007/978-3-642-24908-2_13 Zobrazit plný text záznamu