Provenance and Annotation of Data

Produk Detail:
  • Author : Luc Moreau (Prof.)
  • Publisher : Springer Science & Business Media
  • Pages : 288 pages
  • ISBN : 354046302X
  • Rating : /5 from reviews
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Download or Read online Provenance and Annotation of Data full in PDF, ePub and kindle. this book written by Luc Moreau (Prof.) and published by Springer Science & Business Media which was released on 27 September 2006 with total page 288 pages. We cannot guarantee that Provenance and Annotation of Data book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. This book constitutes the thoroughly referred post-proceedings of the International Provenance and Annotation Workshops, IPAW 2006, held in Chicago, Il, USA in May 2006. The 26 revised full papers presented together with two keynote papers were carefully selected for presentation during two rounds of reviewing and improvement. The papers are organized in topical sections.

Provenance and Annotation of Data

Provenance and Annotation of Data
  • Author : Luc Moreau (Prof.)
  • Publisher : Springer Science & Business Media
  • Release : 27 September 2006
GET THIS BOOK Provenance and Annotation of Data

This book constitutes the thoroughly referred post-proceedings of the International Provenance and Annotation Workshops, IPAW 2006, held in Chicago, Il, USA in May 2006. The 26 revised full papers presented together with two keynote papers were carefully selected for presentation during two rounds of reviewing and improvement. The papers are organized in topical sections.

Provenance

Provenance
  • Author : Laney Salisbury,Aly Sujo
  • Publisher : Penguin
  • Release : 09 July 2009
GET THIS BOOK Provenance

A tautly paced investigation of one the 20th century's most audacious art frauds, which generated hundreds of forgeries-many of them still hanging in prominent museums and private collections today Provenance is the extraordinary narrative of one of the most far-reaching and elaborate deceptions in art history. Investigative reporters Laney Salisbury and Aly Sujo brilliantly recount the tale of a great con man and unforgettable villain, John Drewe, and his sometimes unwitting accomplices. Chief among those was the struggling artist John

Provenance in Databases

Provenance in Databases
  • Author : James Cheney,Laura Chiticariu,Wang-Chiew Tan
  • Publisher : Now Publishers Inc
  • Release : 01 June 2009
GET THIS BOOK Provenance in Databases

Reviews research over the past ten years on why, how, and where provenance, clarifies the relationships among these notions of provenance, and describes some of their applications in confidence computation, view maintenance and update, debugging, and annotation propagation

Provenance and Annotation of Data and Processes

Provenance and Annotation of Data and Processes
  • Author : Juliana Freire,David Koop,Luc Moreau
  • Publisher : Springer Science & Business Media
  • Release : 02 December 2008
GET THIS BOOK Provenance and Annotation of Data and Processes

Computinghasbeenanenormousacceleratortoscienceandindustryalikeandit has led to an information explosion in many di?erent ?elds. The unprecedented volume of data acquired from sensors, derived by simulations and data analysis processes, accumulated in warehouses, and often shared on the Web, has given risetoanew?eldofresearch: provenancemanagement.Provenance(alsoreferred to as audit trail, lineage, and pedigree) captures information about the steps used to generate a given data product. Such information provides important documentation that is key to preserving data, to determining the data's quality and authorship,

Provenance and Annotation of Data and Process

Provenance and Annotation of Data and Process
  • Author : Deborah L. McGuinness,James R. Michaelis,Luc Moreau
  • Publisher : Springer
  • Release : 30 November 2010
GET THIS BOOK Provenance and Annotation of Data and Process

The 7 revised full papers, 11 revised medium-length papers, 6 revised short, and 7 demo papers presented together with 10 poster/abstract papers describing late-breaking work were carefully reviewed and selected from numerous submissions. Provenance has been recognized to be important in a wide range of areas including databases, workflows, knowledge representation and reasoning, and digital libraries. Thus, many disciplines have proposed a wide range of provenance models, techniques, and infrastructure for encoding and using provenance. The papers investigate many facets of data provenance, process

Provenance and Annotation of Data and Processes

Provenance and Annotation of Data and Processes
  • Author : Marta Mattoso,Boris Glavic
  • Publisher : Springer
  • Release : 03 June 2016
GET THIS BOOK Provenance and Annotation of Data and Processes

This book constitutes the refereed proceedings of the 6th International Provenance and Annotation Workshop, IPAW 2016, held in McLean, VA, USA, in June 2016. The 12 revised full papers, 14 poster papers, and 2 demonstration papers presentedwere carefully reviewed and selected from 54 submissions. The papers feature state-of-the-art research and practice around the automatic capture, representation, and use of provenance. They are organized in topical sections on provenance capture, provenance analysis and visualization, and provenance models and applications.

Provenance and Annotation of Data and Processes

Provenance and Annotation of Data and Processes
  • Author : Bertram Ludäscher,Beth Plale
  • Publisher : Springer
  • Release : 20 March 2015
GET THIS BOOK Provenance and Annotation of Data and Processes

This book constitutes the revised selected papers of the 5th International Provenance and Annotation Workshop, IPAW 2014, held in Cologne, Germany in June 2014. The 14 long papers, 20 short papers and 4 extended abstracts presented were carefully reviewed and selected from 53 submissions. The papers include tools that enable provenance capture from software compilers, from web publications and from scripts, using existing audit logs and employing both static and dynamic instrumentation.

Secure Data Provenance and Inference Control with Semantic Web

Secure Data Provenance and Inference Control with Semantic Web
  • Author : Bhavani Thuraisingham,Tyrone Cadenhead,Murat Kantarcioglu,Vaibhav Khadilkar
  • Publisher : CRC Press
  • Release : 01 August 2014
GET THIS BOOK Secure Data Provenance and Inference Control with Semantic Web

With an ever-increasing amount of information on the web, it is critical to understand the pedigree, quality, and accuracy of your data. Using provenance, you can ascertain the quality of data based on its ancestral data and derivations, track back to sources of errors, allow automatic re-enactment of derivations to update data, and provide attribution of the data source. Secure Data Provenance and Inference Control with Semantic Web supplies step-by-step instructions on how to secure the provenance of your data

Provenance and Annotation of Data and Processes

Provenance and Annotation of Data and Processes
  • Author : Boris Glavic,Vanessa Braganholo,David Koop
  • Publisher : Springer Nature
  • Release : 08 July 2021
GET THIS BOOK Provenance and Annotation of Data and Processes

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

The Foundations for Provenance on the Web

The Foundations for Provenance on the Web
  • Author : Luc Moreau
  • Publisher : Now Publishers Inc
  • Release : 01 October 2010
GET THIS BOOK The Foundations for Provenance on the Web

As the Web allows information sharing, discovery, aggregation, filtering and flow in an unprecedented manner, it also becomes very difficult to identify, reliably, the original source that produced an information item on the Web. Hence, provenance, i.e., the origin or source of something, is becoming an important concern, since it offers the means to verify data products, to infer their quality, to analyse the processes that led to them, and to decide whether they can be trusted. For instance,