| 000 | 05241nam a22006375i 4500 | ||
|---|---|---|---|
| 001 | 978-3-030-80960-7 | ||
| 003 | DE-He213 | ||
| 005 | 20240730171202.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 210708s2021 sz | s |||| 0|eng d | ||
| 020 |
_a9783030809607 _9978-3-030-80960-7 |
||
| 024 | 7 |
_a10.1007/978-3-030-80960-7 _2doi |
|
| 050 | 4 | _aQ334-342 | |
| 050 | 4 | _aTA347.A78 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aCOM004000 _2bisacsh |
|
| 072 | 7 |
_aUYQ _2thema |
|
| 082 | 0 | 4 |
_a006.3 _223 |
| 245 | 1 | 0 |
_aProvenance and Annotation of Data and Processes _h[electronic resource] : _b8th and 9th International Provenance and Annotation Workshop, IPAW 2020 + IPAW 2021, Virtual Event, July 19-22, 2021, Proceedings / _cedited by Boris Glavic, Vanessa Braganholo, David Koop. |
| 250 | _a1st ed. 2021. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
|
| 300 |
_aXI, 271 p. 95 illus., 77 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aInformation Systems and Applications, incl. Internet/Web, and HCI, _x2946-1642 ; _v12839 |
|
| 505 | 0 | _aProvenance Capture and Representation -- A Delayed Instantiation Approach to Template-driven Provenance for Electronic Health Record Phenotyping -- Provenance Supporting Hyperparameter Analysis in Deep Neural Networks -- Evidence Graphs: Supporting Transparent and FAIR Computation, with Defeasible Reasoning on Data, Methods and Results -- The PROV-JSONLD Serialization -- Security -- Proactive Provenance Policies for Automatic Cryptographic Data Centric Security -- Provenance-based Security Audits and its Application to COVID-19 Contact Tracing Apps -- Provenance Types, Inference, Queries and Summarization -- Notebook Archaeology: Inferring Provenance from Computational Notebooks -- Efficient Computation of Provenance for Query Result Exploration -- Incremental Inference of Provenance Types -- Reliability and Trustworthiness -- Non-repudiable Provenance for Clinical Decision Support Systems -- A Model and System for Querying Provenance from Data Cleaning Workflows -- Joint IPAW/TaPP Poster and Demonstration Session -- ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks -- Mapping Trusted Paths to VGI -- Querying Data Preparation Modules Using Data Examples -- Privacy Aspects of Provenance Queries -- ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen and Data -- Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles -- ProvViz: An Intuitive Prov Editor and Visualiser -- Curating Covid-19 data in Links -- Towards a provenance management system for astronomical observatories -- Towards Provenance Integration for Field Devices in Industrial IoT systems -- COVID-19 Analytics in Jupyter: Intuitive Provenance Integration using ProvIt -- CPR - A Comprehensible Provenance Record for Verification Workflows in Whole Tale. | |
| 520 | _aThis book constitutes the proceedings of the 8th and 9th International Provenance and Annotation Workshop, IPAW 2020 and IPAW 2021 which were held as part of ProvenanceWeek in 2020 and 2021. Due to the COVID-19 pandemic, PropvenanceWeek 2020 was held as a 1-day virtual event with brief teaser talks on June 22, 2020. In 2021, the conference was held virtually during July 19-22, 2021. The 11 full papers and 12 posters and system demonstrations included in these proceedings were carefully reviewed and selected from a total of 31 submissions. They were organized in the following topical sections: provenance capture and representation; security; provenance types, inference, queries and summarization; reliability and trustworthiness; joint IPAW/TaPP poster and demonstration session. . | ||
| 650 | 0 |
_aArtificial intelligence. _93407 |
|
| 650 | 0 |
_aComputer engineering. _910164 |
|
| 650 | 0 |
_aComputer networks . _931572 |
|
| 650 | 0 |
_aDatabase management. _93157 |
|
| 650 | 0 |
_aMachine theory. _997443 |
|
| 650 | 0 |
_aSoftware engineering. _94138 |
|
| 650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
| 650 | 2 | 4 |
_aComputer Engineering and Networks. _997446 |
| 650 | 2 | 4 |
_aDatabase Management. _93157 |
| 650 | 2 | 4 |
_aFormal Languages and Automata Theory. _997448 |
| 650 | 2 | 4 |
_aSoftware Engineering. _94138 |
| 700 | 1 |
_aGlavic, Boris. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _997450 |
|
| 700 | 1 |
_aBraganholo, Vanessa. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _997452 |
|
| 700 | 1 |
_aKoop, David. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _997453 |
|
| 710 | 2 |
_aSpringerLink (Online service) _997454 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030809591 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030809614 |
| 830 | 0 |
_aInformation Systems and Applications, incl. Internet/Web, and HCI, _x2946-1642 ; _v12839 _997455 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-80960-7 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 912 | _aZDB-2-LNC | ||
| 942 | _cELN | ||
| 999 |
_c87437 _d87437 |
||