A SPARQL Query Transformation Rule Language — Application to Retrieval and Adaptation in Case-Based Reasoning
作者： Olivier Bruneau , Emmanuelle Gaillard , Nicolas Lasolle , Jean Lieber , Emmanuel Nauer
DOI: 10.1007/978-3-319-61030-6_6
关键词:
摘要: This paper presents SQTRL, a language for transformation rules SPARQL queries, tool associated with it, and how it can be applied to retrieval adaptation in case-based reasoning (CBR). Three applications of SQTRL are presented the domains cooking digital humanities. For CBR system using RDFS representing cases domain knowledge, its query language, case consists minimal modification so that matches at least source case. Adaptation based on an base also handled help this tool. therefore used several goals related systems semantic web standards SPARQL.
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