{ "types" : { "Bookmark" : { "pluralLabel" : "Bookmarks" }, "Publication" : { "pluralLabel" : "Publications" }, "GoldStandardPublication" : { "pluralLabel" : "GoldStandardPublications" }, "GoldStandardBookmark" : { "pluralLabel" : "GoldStandardBookmarks" }, "Tag" : { "pluralLabel" : "Tags" }, "User" : { "pluralLabel" : "Users" }, "Group" : { "pluralLabel" : "Groups" }, "Sphere" : { "pluralLabel" : "Spheres" } }, "properties" : { "count" : { "valueType" : "number" }, "date" : { "valueType" : "date" }, "changeDate" : { "valueType" : "date" }, "url" : { "valueType" : "url" }, "id" : { "valueType" : "url" }, "tags" : { "valueType" : "item" }, "user" : { "valueType" : "item" } }, "items" : [ { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2cd8061bce8aa1569289c8387816f7998/katharinafuchs", "tags" : [ "pebble","provenance","peerReviewed","pn7","ipvs-de","from:m.herschel","EXC2075" ], "intraHash" : "cd8061bce8aa1569289c8387816f7998", "interHash" : "60303345861e8a5ec1846d6d36028b19", "label" : "Tracing nested data with structural provenance for big data analytics", "user" : "katharinafuchs", "description" : "", "date" : "2021-12-08 17:10:08", "changeDate" : "2021-12-08 16:10:08", "count" : 6, "pub-type": "inproceedings", "booktitle": "Proceedings of the International Conference on Extending Database Technology (EDBT)", "year": "2020", "url": "https://doi.org/10.5441/002/edbt.2020.23", "author": [ "Ralf Diestelkämper","Melanie Herschel" ], "authors": [ {"first" : "Ralf", "last" : "Diestelkämper"}, {"first" : "Melanie", "last" : "Herschel"} ], "pages": "253-264", "bibsource" : "dblp computer science bibliography, https://dblp.org", "doi" : "10.5441/002/edbt.2020.23", "bibtexKey": "DBLP:conf/edbt/DiestelkamperH20" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2cd8061bce8aa1569289c8387816f7998/m.herschel", "tags" : [ "pebble","provenance","peerReviewed","pn7","ipvs-de","EXC2075" ], "intraHash" : "cd8061bce8aa1569289c8387816f7998", "interHash" : "60303345861e8a5ec1846d6d36028b19", "label" : "Tracing nested data with structural provenance for big data analytics", "user" : "m.herschel", "description" : "", "date" : "2020-03-26 09:31:39", "changeDate" : "2023-10-16 14:42:27", "count" : 6, "pub-type": "inproceedings", "booktitle": "Proceedings of the International Conference on Extending Database Technology (EDBT)", "year": "2020", "url": "https://doi.org/10.5441/002/edbt.2020.23", "author": [ "Ralf Diestelkämper","Melanie Herschel" ], "authors": [ {"first" : "Ralf", "last" : "Diestelkämper"}, {"first" : "Melanie", "last" : "Herschel"} ], "pages": "253-264", "bibsource" : "dblp computer science bibliography, https://dblp.org", "bibtexKey": "diestelkmper2020tracing" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/23bf02dd14ab64689afccbc9cea48a166/hermann", "tags" : [ "provenance","data" ], "intraHash" : "3bf02dd14ab64689afccbc9cea48a166", "interHash" : "ba248b08633a6f0cb1c0884bff45ccf0", "label" : "A Survey on Provenance: What for? What Form? What from?", "user" : "hermann", "description" : "A survey on provenance", "date" : "2018-06-29 10:07:39", "changeDate" : "2018-06-29 08:07:39", "count" : 1, "pub-type": "article", "journal": "The VLDB Journal","publisher":"Springer-Verlag New York, Inc.","address":"Secaucus, NJ, USA", "year": "2017", "url": "https://doi.org/10.1007/s00778-017-0486-1", "author": [ "Melanie Herschel","Ralf Diestelkämper","Houssem Ben Lahmar" ], "authors": [ {"first" : "Melanie", "last" : "Herschel"}, {"first" : "Ralf", "last" : "Diestelkämper"}, {"first" : "Houssem", "last" : "Ben Lahmar"} ], "volume": "26","number": "6","pages": "881--906","abstract": "Provenance refers to any information describing the production process of an end product, which can be anything from a piece of digital data to a physical object. While this survey focuses on the former type of end product, this definition still leaves room for many different interpretations of and approaches to provenance. These are typically motivated by different application domains for provenance (e.g., accountability, reproducibility, process debugging) and varying technical requirements such as runtime, scalability, or privacy. As a result, we observe a wide variety of provenance types and provenance-generating methods. This survey provides an overview of the research field of provenance, focusing on what provenance is used for (what for?), what types of provenance have been defined and captured for the different applications (what form?), and which resources and system requirements impact the choice of deploying a particular provenance solution (what from?). For each of these three key questions, we provide a classification and review the state of the art for each class. We conclude with a summary and possible future research challenges.", "issn" : "1066-8888", "acmid" : "3159194", "issue_date" : "December 2017", "numpages" : "26", "doi" : "10.1007/s00778-017-0486-1", "bibtexKey": "herschel2017survey" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/27f632be06204af5a1aca01b2f50324dc/hermann", "tags" : [ "provenance","provo","metadaten" ], "intraHash" : "7f632be06204af5a1aca01b2f50324dc", "interHash" : "53774728032427a6262b63d1149787ae", "label" : "The W3C PROV Family of Specifications for Modelling Provenance Metadata", "user" : "hermann", "description" : "The W3C PROV family of specifications for modelling provenance metadata", "date" : "2018-05-24 10:35:33", "changeDate" : "2018-05-24 08:36:32", "count" : 2, "pub-type": "inproceedings", "booktitle": "Proceedings of the 16th International Conference on Extending Database Technology","series": "EDBT '13","publisher":"ACM","address":"New York, NY, USA", "year": "2013", "url": "http://doi.acm.org/10.1145/2452376.2452478", "author": [ "Paolo Missier","Khalid Belhajjame","James Cheney" ], "authors": [ {"first" : "Paolo", "last" : "Missier"}, {"first" : "Khalid", "last" : "Belhajjame"}, {"first" : "James", "last" : "Cheney"} ], "pages": "773--776","abstract": "Provenance, a form of structured metadata designed to record the origin or source of information, can be instrumental in deciding whether information is to be trusted, how it can be integrated with other diverse information sources, and how to establish attribution of information to authors throughout its history. The PROV set of specifications, produced by the World Wide Web Consortium (W3C), is designed to promote the publication of provenance information on the Web, and offers a basis for interoperability across diverse provenance management systems. The PROV provenance model is deliberately generic and domain-agnostic, but extension mechanisms are available and can be exploited for modelling specific domains. This tutorial provides an account of these specifications. Starting from intuitive and informal examples that present idiomatic provenance patterns, it progressively introduces the relational model of provenance along with the constraints model for validation of provenance documents, and concludes with example applications that show the extension points in use.", "acmid" : "2452478", "location" : "Genoa, Italy", "isbn" : "978-1-4503-1597-5", "numpages" : "4", "doi" : "10.1145/2452376.2452478", "bibtexKey": "Missier:2013:WPF:2452376.2452478" } ] }