2015
DOI: 10.1007/978-3-319-19890-3_21
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MIRROR: Automatic R2RML Mapping Generation from Relational Databases

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Cited by 43 publications
(33 citation statements)
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“…R2RML implementations often provide a tool to automatically generate an R2RML direct mapping from the relational schema (e.g. Morph-RDB [29]). The same principles could be extended to automatically generate an xR2RML mapping for other types of data source, as long as they comply with a schema: column names in CSV/TSV files and extensible column stores, XSD or DTD for XML data, JSON schema 22 or a JSON-LD 23 description for JSON data.…”
Section: Discussionmentioning
confidence: 99%
“…R2RML implementations often provide a tool to automatically generate an R2RML direct mapping from the relational schema (e.g. Morph-RDB [29]). The same principles could be extended to automatically generate an xR2RML mapping for other types of data source, as long as they comply with a schema: column names in CSV/TSV files and extensible column stores, XSD or DTD for XML data, JSON schema 22 or a JSON-LD 23 description for JSON data.…”
Section: Discussionmentioning
confidence: 99%
“…Systems like MIRROR [21] and BootOX [27] support automatic generation of such complex mappings by exploiting the common patterns that schema managers use to encode the semantics of the domain in the relational database.…”
Section: Mapping Bootstrappers Automatically Generate Mappings and Vomentioning
confidence: 99%
“…Morph-RDB, 21 formerly called ODEMapster, is an open-source OBDA system supporting the R2RML and Direct Mappings standards. This system implements a number of query optimizations techniques such as self-join elimination [44].…”
Section: Ultrawrapmentioning
confidence: 99%
“…The alignment between the bootstrap and target ontology is done with schema matching tools, such as LogMap [13]. MIRROR [14] and Ontop [15] are similar to D2RQ. However, MIRROR extends the mappings by using information in the databases to determine, e.g., subclass-of relationships and m:n relationships.…”
Section: Mapping Generation Toolsmentioning
confidence: 99%
“…In most cases, when tools are accompanied with an evaluation, they only assess a limited set of the mapping process' aspects: time required to transform the mapping suggestions to the correct ones [11]; W3C Direct Mapping Test Cases 2 [14]; precision, recall, and CPU time when using the semantic model [9] and Linked Data [8]; or number of user actions [21]. However, they only give a limited insight about task complexity and/or mapping quality, and not every tool is compared with the results of other tools.…”
Section: Mapping Generation Evaluationmentioning
confidence: 99%