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Book Data Provenance

    Book Details:
  • Author : Boris Glavic
  • Publisher :
  • Release : 2021-04-26
  • ISBN : 9781680838282
  • Pages : 248 pages

Download or read book Data Provenance written by Boris Glavic and published by . This book was released on 2021-04-26 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a comprehensive introduction to data provenance concepts, algorithms, and methodology developed in the last few decades.

Book Provenance in Data Science

Download or read book Provenance in Data Science written by Leslie F. Sikos and published by Springer Nature. This book was released on 2021-04-26 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: RDF-based knowledge graphs require additional formalisms to be fully context-aware, which is presented in this book. This book also provides a collection of provenance techniques and state-of-the-art metadata-enhanced, provenance-aware, knowledge graph-based representations across multiple application domains, in order to demonstrate how to combine graph-based data models and provenance representations. This is important to make statements authoritative, verifiable, and reproducible, such as in biomedical, pharmaceutical, and cybersecurity applications, where the data source and generator can be just as important as the data itself. Capturing provenance is critical to ensure sound experimental results and rigorously designed research studies for patient and drug safety, pathology reports, and medical evidence generation. Similarly, provenance is needed for cyberthreat intelligence dashboards and attack maps that aggregate and/or fuse heterogeneous data from disparate data sources to differentiate between unimportant online events and dangerous cyberattacks, which is demonstrated in this book. Without provenance, data reliability and trustworthiness might be limited, causing data reuse, trust, reproducibility and accountability issues. This book primarily targets researchers who utilize knowledge graphs in their methods and approaches (this includes researchers from a variety of domains, such as cybersecurity, eHealth, data science, Semantic Web, etc.). This book collects core facts for the state of the art in provenance approaches and techniques, complemented by a critical review of existing approaches. New research directions are also provided that combine data science and knowledge graphs, for an increasingly important research topic.

Book Provenance and Annotation of Data and Processes

Download or read book Provenance and Annotation of Data and Processes written by Juliana Freire and published by Springer Science & Business Media. This book was released on 2008-12-02 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Provenance and Annotation Workshop, IPAW 2008, held in Salt Lake City, UT, USA, in June 2007. The 14 revised full papers and 15 revised short and demo papers presented together with 2 keynote lectures were carefully reviewed and selected from 40 submissions. The paper are organized in topical sections on provenance: models and querying; provenance: visualization, failures, identity; provenance and workflows; provenance for streams and collaboration; and applications.

Book Encyclopedia of Database Systems

Download or read book Encyclopedia of Database Systems written by Ling Liu and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Principles of Data Integration

Download or read book Principles of Data Integration written by AnHai Doan and published by Elsevier. This book was released on 2012-06-25 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Data Integration is the first comprehensive textbook of data integration, covering theoretical principles and implementation issues as well as current challenges raised by the semantic web and cloud computing. The book offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand. Readers will also learn how to build their own algorithms and implement their own data integration application. Written by three of the most respected experts in the field, this book provides an extensive introduction to the theory and concepts underlying today's data integration techniques, with detailed, instruction for their application using concrete examples throughout to explain the concepts. This text is an ideal resource for database practitioners in industry, including data warehouse engineers, database system designers, data architects/enterprise architects, database researchers, statisticians, and data analysts; students in data analytics and knowledge discovery; and other data professionals working at the R&D and implementation levels. Offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand Enables you to build your own algorithms and implement your own data integration applications

Book Provenance and Annotation of Data and Processes

Download or read book Provenance and Annotation of Data and Processes written by Khalid Belhajjame and published by Springer. This book was released on 2018-09-05 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Provenance and Annotation Workshop, IPAW 2018, held in London, UK, in July 2018. The 12 revised full papers, 19 poster papers, and 2 demonstration papers presented were carefully reviewed and selected from 50 submissions. The papers feature a variety of provenance-related topics ranging from the capture and inference of provenance to its use and application.They are organized in topical sections on reproducibility; modeling, simulating and capturing provenance; PROV extensions; scientific workflows; applications; and system demonstrations.

Book Provenance and Annotation of Data

Download or read book Provenance and Annotation of Data written by Luc Moreau and published by Springer Science & Business Media. This book was released on 2006-09-27 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Provenance and Annotation of Data and Processes

Download or read book Provenance and Annotation of Data and Processes written by Bertram Ludäscher and published by Springer. This book was released on 2015-03-20 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Towards Interoperable Research Infrastructures for Environmental and Earth Sciences

Download or read book Towards Interoperable Research Infrastructures for Environmental and Earth Sciences written by Zhiming Zhao and published by Springer Nature. This book was released on 2020-07-24 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20 environmental and Earth science research infrastructures into a single community. It provides readers with a systematic overview of the common challenges faced by research infrastructures and how a ‘reference model guided’ engineering approach can be used to achieve greater interoperability among such infrastructures in the environmental and earth sciences. The 20 contributions in this book are structured in 5 parts on the design, development, deployment, operation and use of research infrastructures. Part one provides an overview of the state of the art of research infrastructure and relevant e-Infrastructure technologies, part two discusses the reference model guided engineering approach, the third part presents the software and tools developed for common data management challenges, the fourth part demonstrates the software via several use cases, and the last part discusses the sustainability and future directions.

Book Data Provenance and Data Management in eScience

Download or read book Data Provenance and Data Management in eScience written by Qing Liu and published by Springer. This book was released on 2012-08-04 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers important aspects of fundamental research in data provenance and data management(DPDM), including provenance representation and querying, as well as practical applications in such domains as clinical trials, bioinformatics and radio astronomy.

Book Provenance and Annotation of Data and Process

Download or read book Provenance and Annotation of Data and Process written by Deborah L. McGuinness and published by Springer. This book was released on 2010-11-30 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 documentation, data derivation, and data annotation.

Book Provenance in Databases

Download or read book Provenance in Databases written by James Cheney and published by Now Publishers Inc. This book was released on 2009-06-02 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Book Provenance and Annotation of Data and Processes

Download or read book Provenance and Annotation of Data and Processes written by Boris Glavic and published by Springer Nature. This book was released on 2021-07-08 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Secure Data Management

Download or read book Secure Data Management written by Willem Jonker and published by Springer Science & Business Media. This book was released on 2008-08-11 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Fifth VLDB Workshop on Secure Data Management, SDM 2008, held in Auckland, New Zealand, on August 24, 2008, in conjunction with VLDB 2008. The 11 full papers were selected for publication in the book from 32 submissions. In addition, 3 position papers and a keynote paper are included. The papers are organized in topical sections on database security, trust management, privacy protection, and security and privacy in healthcare.

Book Active Conceptual Modeling of Learning

Download or read book Active Conceptual Modeling of Learning written by Peter P. Chen and published by Springer. This book was released on 2008-01-04 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a collection of papers presented during the first International ACM-L Workshop, which was held in Tucson, Arizona, during the 25th International Conference on Conceptual Modeling, ER 2006. Included in this state-of-the-art survey are 11 revised full papers, carefully reviewed and selected from the workshop presentations. These are rounded off with four invited lectures and an introductory overview, and represent the current thinking in conceptual modeling research.

Book Data Provenance

Download or read book Data Provenance written by Boris Glavic and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The term provenance is used in the art world to describe a record of the history of ownership of a piece of art. This term has been adapted by the database community to describe a record of the origin of a piece of data. Data provenance emerged as a research topic in the database community in the late 1990s. Data provenance, by explaining how the result of an operation was derived from its inputs, has proven to be a useful tool that is applicable in a wide variety of applications. This monograph gives a comprehensive introduction to data provenance concepts, algorithms, and methodology developed in the last few decades. It introduces the reader to the formalisms, algorithms, and system's developments in this fascinating field as well as providing a collection of relevant literature references for further research. The monograph provides a concise starting point for research into and using provenance in data. Although focusing on data provenance in databases pointers to work in other fields are given throughout. The intended audience is researchers and practitioners unfamiliar with the topic who want to develop a basic understanding of provenance techniques and the state-of-the-art in the field as well as researchers with prior experience in provenance that want to broaden their horizon.

Book Secure Data Provenance and Inference Control with Semantic Web

Download or read book Secure Data Provenance and Inference Control with Semantic Web written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2014-08-01 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 to make sure it is safe from inference attacks. It details the design and implementation of a policy engine for provenance of data and presents case studies that illustrate solutions in a typical distributed health care system for hospitals. Although the case studies describe solutions in the health care domain, you can easily apply the methods presented in the book to a range of other domains. The book describes the design and implementation of a policy engine for provenance and demonstrates the use of Semantic Web technologies and cloud computing technologies to enhance the scalability of solutions. It covers Semantic Web technologies for the representation and reasoning of the provenance of the data and provides a unifying framework for securing provenance that can help to address the various criteria of your information systems. Illustrating key concepts and practical techniques, the book considers cloud computing technologies that can enhance the scalability of solutions. After reading this book you will be better prepared to keep up with the on-going development of the prototypes, products, tools, and standards for secure data management, secure Semantic Web, secure web services, and secure cloud computing.