國立虎尾科技大學 |

Provenance and Annotation of Data and Processes = 8th and 9th International Provenance and Annotation Workshop, IPAW 2020 + IPAW 2021, Virtual Event, July 19–22, 2021, Proceedings /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Provenance and Annotation of Data and Processes/ edited by Boris Glavic, Vanessa Braganholo, David Koop.
Reminder of title:	8th and 9th International Provenance and Annotation Workshop, IPAW 2020 + IPAW 2021, Virtual Event, July 19–22, 2021, Proceedings /
other author:	Glavic, Boris.
Description:	XI, 271 p. 95 illus., 77 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-80960-7
ISBN:	9783030809607

Provenance and Annotation of Data and Processes = 8th and 9th International Provenance and Annotation Workshop, IPAW 2020 + IPAW 2021, Virtual Event, July 19–22, 2021, Proceedings /
Provenance and Annotation of Data and Processes8th and 9th International Provenance and Annotation Workshop, IPAW 2020 + IPAW 2021, Virtual Event, July 19–22, 2021, Proceedings /[electronic resource] :edited by Boris Glavic, Vanessa Braganholo, David Koop. - 1st ed. 2021. - XI, 271 p. 95 illus., 77 illus. in color.online resource. - Information Systems and Applications, incl. Internet/Web, and HCI ;12839. - Information Systems and Applications, incl. Internet/Web, and HCI ;9149.

Provenance 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.

This 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. .

ISBN: 9783030809607

Standard No.: 10.1007/978-3-030-80960-7doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Provenance and Annotation of Data and Processes = 8th and 9th International Provenance and Annotation Workshop, IPAW 2020 + IPAW 2021, Virtual Event, July 19–22, 2021, Proceedings /
LDR:04195nam a22004095i 4500 001 1048021
003 DE-He213
005 20210819212709.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030809607 $9 978-3-030-80960-7
024 7 $a 10.1007/978-3-030-80960-7 $2 doi
035 $a 978-3-030-80960-7
050 4 $a Q334-342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Provenance and Annotation of Data and Processes $h [electronic resource] : $b 8th and 9th International Provenance and Annotation Workshop, IPAW 2020 + IPAW 2021, Virtual Event, July 19–22, 2021, Proceedings / $c edited by Boris Glavic, Vanessa Braganholo, David Koop.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XI, 271 p. 95 illus., 77 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Information Systems and Applications, incl. Internet/Web, and HCI ; $v 12839
505 0 $a Provenance 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 $a This 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 $a Artificial intelligence. $3 559380
650 0 $a Computer organization. $3 596298
650 0 $a Database management. $3 557799
650 0 $a Mathematical logic. $2 bicssc $3 810627
650 0 $a Software engineering. $3 562952
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Computer Systems Organization and Communication Networks. $3 669309
650 2 4 $a Database Management. $3 669820
650 2 4 $a Mathematical Logic and Formal Languages. $3 670059
650 2 4 $a Software Engineering. $3 669632
700 1 $a Glavic, Boris. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1110074
700 1 $a Braganholo, Vanessa. $e editor. $1 https://orcid.org/0000-0002-1184-8192 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1351800
700 1 $a Koop, David. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 881989
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030809591
776 0 8 $i Printed edition: $z 9783030809614
830 0 $a Information Systems and Applications, incl. Internet/Web, and HCI ; $v 9149 $3 1253558
856 4 0 $u https://doi.org/10.1007/978-3-030-80960-7
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)