2012
DOI: 10.1016/j.websem.2012.02.003
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Emerging practices for mapping and linking life sciences data using RDF — A case series

Abstract: People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors a… Show more

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Cited by 55 publications
(42 citation statements)
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“…The area of drug related data has not been omitted. In [9], authors presented 14 questions and answers as a recommendation for mapping and linking life sciences data using RDF based on several use cases. One of the important issues addressed is that most data should be described as an instance of an ontological class where possible.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…The area of drug related data has not been omitted. In [9], authors presented 14 questions and answers as a recommendation for mapping and linking life sciences data using RDF based on several use cases. One of the important issues addressed is that most data should be described as an instance of an ontological class where possible.…”
Section: Related Workmentioning
confidence: 99%
“…In particular, most data is represented as ontological classes instead of instances. This is not a recommended practice [9]. Since each thing is represented as a class it is not possible to determine its semantic type with the standardized rdf:type property.…”
Section: Sources Of Structured Datamentioning
confidence: 99%
“…Report Generating Rules The task of aligning data with a checklist is only feasible by hand annotation for small-scale data. Scientific Linked Data is typically large scale and inconsistently represented across data sets [20]. To retrospectively align existing data with MICs we need to automate this process.…”
Section: B Reporting Against a Checklistmentioning
confidence: 99%
“…Secondly, by performing our own extraction we gain insight into how the entire process of generating and publishing Linked Data impacts our MIC assessment. Scientific data sources are rarely created initially as Linked Data resources; instead a Linked Data representation is typically generated from a primary existing source [20]. As such our case study is representative of much of the existing scientific data available on the Web of Data.…”
Section: A Wikiproject Chemicals Case Studymentioning
confidence: 99%
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