國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Provenance and annotation of data an...

(1998 :)

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 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Provenance and annotation of data and processesedited by Boris Glavic, Vanessa Braganholo, David Koop.
其他題名:	8th and 9th International Provenance and Annotation Workshop, IPAW 2020 + IPAW 2021, virtual event, July 19-22, 2021 : proceedings /
其他題名:	IPAW 2020
其他作者:	Glavic, Boris.
團體作者:
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xi, 271 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Database management
電子資源:	https://doi.org/10.1007/978-3-030-80960-7
ISBN:	9783030809607$q(electronic bk.)

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 /
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] :IPAW 2020edited by Boris Glavic, Vanessa Braganholo, David Koop. - Cham :Springer International Publishing :2021. - xi, 271 p. :ill., digital ;24 cm. - Lecture notes in computer science,128390302-9743 ;. - Lecture notes in computer science ;4891..

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$q(electronic bk.)

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

253546
Database management

LC Class. No.: QA76.9.D3 / I57 2020

Dewey Class. No.: 005.74

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 /
LDR:03959nmm a2200373 a 4500 001 602088
003 DE-He213
005 20210708080233.0
006 m d
007 cr nn 008maaau
008 211112s2021 sz s 0 eng d
020 $a 9783030809607$q(electronic bk.)
020 $a 9783030809591$q(paper)
024 7 $a 10.1007/978-3-030-80960-7 $2 doi
035 $a 978-3-030-80960-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D3 $b I57 2020
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 005.74 $2 23
090 $a QA76.9.D3 $b I61 2020
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
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.
246 3 $a IPAW 2020
246 3 $a IPAW 2021
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xi, 271 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 12839
490 1 $a Information systems and applications, incl. internet/web, and HCI
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 Database management $3 253546
650 0 $a Electronic data processing $3 253414
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Computer Systems Organization and Communication Networks. $3 273709
650 2 4 $a Database Management. $3 273994
650 2 4 $a Mathematical Logic and Formal Languages. $3 275383
650 2 4 $a Software Engineering. $3 274511
700 1 $a Glavic, Boris. $3 749766
700 1 $a Braganholo, Vanessa. $3 897656
700 1 $a Koop, David. $3 591663
710 2 $a SpringerLink (Online service) $3 273601
711 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
830 0 $a Information systems and applications, incl. internet/web, and HCI. $3 822022
856 4 0 $u https://doi.org/10.1007/978-3-030-80960-7
950 $a Computer Science (SpringerNature-11645)