Paper Info
Title
Mapping Diverse Data to RDF in Practice.
Abstract
Converting data from diverse data sources to custom RDF datasets often faces several practical challenges related with the need to restructure and transform the source data. Existing RDF mapping languages assume that the resulting datasets mostly preserve the structure of the original data. In this paper, we present real cases that highlight the limitations of existing languages, and describe D2RML, a transformation-oriented RDF mapping language which addresses such practical needs by incorporating a programming flavor in the mapping process.
Year
DOI
Venue
2018
10.1007/978-3-030-00671-6_26
Lecture Notes in Computer Science
Keywords
Field
DocType
RDF mapping,Data integration,Service integration
Data integration,Information retrieval,Computer science,Source data,Database,RDF
Conference
Volume
ISSN
Citations 
11136
0302-9743
0
PageRank 
References 
Authors
0.34
6
2
Name
Order
Citations
PageRank
Alexandros Chortaras111612.31
Giorgos Stamou2120076.88