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001 9910808516103321
005 20230120112650.0
010   $a3-031-79450-8
024 7 $a10.1007/978-3-031-79450-6
035   $a(CKB)5580000000324031
035   $a(DE-He213)978-3-031-79450-6
035   $a(MiAaPQ)EBC1418412
035   $a(EXLCZ)995580000000324031
100   $a20220601d2013      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aProvenance $eAn Introduction to PROV /$fby Luc Moreau, Paul Groth
205   $a1st ed. 2013.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2013.
215   $a1 online resource (XV, 113 p.) 
225 1 $aSynthesis Lectures on Data, Semantics, and Knowledge,$x2691-2031
311   $a3-031-79449-4 
327   $aPreface -- Acknowledgments -- Introduction -- A Data Journalism Scenario -- The PROV Ontology -- Provenance Recipes -- Validation, Compliance, Quality, Replay -- Provenance Management -- Conclusion -- Bibliography -- Authors' Biographies -- Index.
330   $aThe World Wide Web is now deeply intertwined with our lives, and has become a catalyst for a data deluge, making vast amounts of data available online, at a click of a button. With Web 2.0, users are no longer passive consumers, but active publishers and curators of data. Hence, from science to food manufacturing, from data journalism to personal well-being, from social media to art, there is a strong interest in provenance, a description of what influenced an artifact, a data set, a document, a blog, or any resource on the Web and beyond. Provenance is a crucial piece of information that can help a consumer make a judgment as to whether something can be trusted. Provenance is no longer seen as a curiosity in art circles, but it is regarded as pragmatically, ethically, and methodologically crucial for our day-to-day data manipulation and curation activities on the Web. Following the recent publication of the PROV standard for provenance on the Web, which the two authors actively help shape in the Provenance Working Group at the World Wide Web Consortium, this Synthesis lecture is a hands-on introduction to PROV aimed at Web and linked data professionals. By means of recipes, illustrations, a website at www.provbook.org, and tools, it guides practitioners through a variety of issues related to provenance: how to generate provenance, publish it on the Web, make it discoverable, and how to utilize it. Equipped with this knowledge, practictioners will be in a position to develop novel applications that can bring open-ness, trust, and accountability. Table of Contents: Preface / Acknowledgments / Introduction / A Data Journalism Scenario / The PROV Ontology / Provenance Recipes / Validation, Compliance, Quality, Replay / Provenance Management / Conclusion / Bibliography / Authors' Biographies / Index.
410  0$aSynthesis Lectures on Data, Semantics, and Knowledge,$x2691-2031
606   $aMathematics
606   $aInternet programming
606   $aApplication software
606   $aComputer networks
606   $aOntology
606   $aMathematics
606   $aWeb Development
606   $aComputer and Information Systems Applications
606   $aComputer Communication Networks
606   $aOntology
615  0$aMathematics.
615  0$aInternet programming.
615  0$aApplication software.
615  0$aComputer networks.
615  0$aOntology.
615 14$aMathematics.
615 24$aWeb Development.
615 24$aComputer and Information Systems Applications.
615 24$aComputer Communication Networks.
615 24$aOntology.
676   $a510
700   $aMoreau$b Luc$4aut$4http://id.loc.gov/vocabulary/relators/aut$0531869
702   $aGroth$b Paul$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910808516103321
996   $aProvenance$93991934
997   $aUNINA