Metadata and Semantics Research

Metadata and Semantics Research PDF Author: Emmanouel Garoufallou
Publisher: Springer
ISBN: 3319034375
Category : Computers
Languages : en
Pages : 466

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Book Description
This book constitutes the refereed proceedings of the 7th Metadata and Semantics Research Conference, MTSR 2013, held in Thessaloniki, Greece, in November 2013. The 29 revised papers presented were carefully reviewed and selected from 89 submissions. The papers are organized in several sessions and tracks. The sessions cover the following topics: platforms for research datasets, system architecture and data management; metadata and ontology validation, evaluation, mapping and interoperability; content management. The tracks cover the following topics: big data and digital libraries in health, science and technology; European and national projects and project networking; metadata and semantics for open repositories, research information systems and data infrastructures; metadata and semantics for cultural collections and applications; metadata and semantics for agriculture, food and environment.

Metadata and Semantics Research

Metadata and Semantics Research PDF Author: Emmanouel Garoufallou
Publisher: Springer
ISBN: 3319034375
Category : Computers
Languages : en
Pages : 466

Get Book Here

Book Description
This book constitutes the refereed proceedings of the 7th Metadata and Semantics Research Conference, MTSR 2013, held in Thessaloniki, Greece, in November 2013. The 29 revised papers presented were carefully reviewed and selected from 89 submissions. The papers are organized in several sessions and tracks. The sessions cover the following topics: platforms for research datasets, system architecture and data management; metadata and ontology validation, evaluation, mapping and interoperability; content management. The tracks cover the following topics: big data and digital libraries in health, science and technology; European and national projects and project networking; metadata and semantics for open repositories, research information systems and data infrastructures; metadata and semantics for cultural collections and applications; metadata and semantics for agriculture, food and environment.

Assessing the Quality of Metadata

Assessing the Quality of Metadata PDF Author:
Publisher:
ISBN:
Category : Metadata
Languages : en
Pages : 5

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Book Description


Metadata in Practice

Metadata in Practice PDF Author: Diane I. Hillmann
Publisher: American Library Association
ISBN: 9780838908822
Category : Computers
Languages : en
Pages : 308

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Book Description
This collection of reports from the field is an opportunity for librarians to learn from the experience of others involved in technically diverse digital library archive projects. It offers project planners, metadata librarians, systems and technical services librarians, and catalogers a problem-solving approach and real-world supplement.

How Useful are Statistical Metadata in Assessing Data Quality?

How Useful are Statistical Metadata in Assessing Data Quality? PDF Author:
Publisher:
ISBN:
Category : Metadata
Languages : en
Pages :

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Book Description


Data and Information Quality

Data and Information Quality PDF Author: Carlo Batini
Publisher: Springer
ISBN: 3319241060
Category : Computers
Languages : en
Pages : 520

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Book Description
This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and comprehensive overview of the state of the art and future development of data and information quality in databases and information systems. To this end, it presents an extensive description of the techniques that constitute the core of data and information quality research, including record linkage (also called object identification), data integration, error localization and correction, and examines the related techniques in a comprehensive and original methodological framework. Quality dimension definitions and adopted models are also analyzed in detail, and differences between the proposed solutions are highlighted and discussed. Furthermore, while systematically describing data and information quality as an autonomous research area, paradigms and influences deriving from other areas, such as probability theory, statistical data analysis, data mining, knowledge representation, and machine learning are also included. Last not least, the book also highlights very practical solutions, such as methodologies, benchmarks for the most effective techniques, case studies, and examples. The book has been written primarily for researchers in the fields of databases and information management or in natural sciences who are interested in investigating properties of data and information that have an impact on the quality of experiments, processes and on real life. The material presented is also sufficiently self-contained for masters or PhD-level courses, and it covers all the fundamentals and topics without the need for other textbooks. Data and information system administrators and practitioners, who deal with systems exposed to data-quality issues and as a result need a systematization of the field and practical methods in the area, will also benefit from the combination of concrete practical approaches with sound theoretical formalisms.

Assessment of Cataloging and Metadata Services

Assessment of Cataloging and Metadata Services PDF Author: Rebecca Mugridge
Publisher: Routledge
ISBN: 0429831536
Category : Business & Economics
Languages : en
Pages : 272

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Book Description
Written by experienced practitioners and researchers, Assessment of Cataloging and Metadata Services provides the reader with many examples of how assessment practices can be applied to the work of cataloging and metadata services departments. Containing both research and case studies, it explores a variety of assessment methods as they are applied to the evaluation of cataloging productivity, workflows, metadata quality, vendor services, training needs, documentation, and more. Assessment methods addressed in these chapters include surveys, focus groups, interviews, observational analyses, workflow analyses, and methodologies borrowed from the field of business. Assessment of Cataloging and Metadata Services will help managers and administrators as they attempt to evaluate and communicate the value of what they do to their broader communities, whether they are higher education institutions, another organization, or the public. This book will help professionals with decision making and give them the tools they need to identify and implement improvements. The chapters in this book were originally published in a special issue in Cataloging & Classification Quarterly.

Data Quality Assessment

Data Quality Assessment PDF Author: Arkady Maydanchik
Publisher:
ISBN: 9780977140022
Category : Computers
Languages : en
Pages : 0

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Book Description
Imagine a group of prehistoric hunters armed with stone-tipped spears. Their primitive weapons made hunting large animals, such as mammoths, dangerous work. Over time, however, a new breed of hunters developed. They would stretch the skin of a previously killed mammoth on the wall and throw their spears, while observing which spear, thrown from which angle and distance, penetrated the skin the best. The data gathered helped them make better spears and develop better hunting strategies. Quality data is the key to any advancement, whether it is from the Stone Age to the Bronze Age. Or from the Information Age to whatever Age comes next. The success of corporations and government institutions largely depends on the efficiency with which they can collect, organise, and utilise data about products, customers, competitors, and employees. Fortunately, improving your data quality does not have to be such a mammoth task. This book is a must read for anyone who needs to understand, correct, or prevent data quality issues in their organisation. Skipping theory and focusing purely on what is practical and what works, this text contains a proven approach to identifying, warehousing, and analysing data errors. Master techniques in data profiling and gathering metadata, designing data quality rules, organising rule and error catalogues, and constructing the dimensional data quality scorecard. David Wells, Director of Education of the Data Warehousing Institute, says "This is one of those books that marks a milestone in the evolution of a discipline. Arkady's insights and techniques fuel the transition of data quality management from art to science -- from crafting to engineering. From deep experience, with thoughtful structure, and with engaging style Arkady brings the discipline of data quality to practitioners."

Introduction to Metadata

Introduction to Metadata PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
An overview of metadata: what it is, its types and uses, and how it can help to make Web resources more accessible and comprehensible. Contains articles, a glossary, and a list of acronyms relating to metadata.

A Conceptual Framework for Metadata Quality Assessment

A Conceptual Framework for Metadata Quality Assessment PDF Author: Thomas Margaritopoulos
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description


Universal Meta Data Models

Universal Meta Data Models PDF Author: David Marco
Publisher: John Wiley & Sons
ISBN: 0764571591
Category : Computers
Languages : en
Pages : 482

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Book Description
* The heart of the book provides the complete set of models that will support most of an organization's core business functions, including universal meta models for enterprise-wide systems, business meta data and data stewardship, portfolio management, business rules, and XML, messaging, and transactions * Developers can directly adapt these models to their own businesses, saving countless hours of development time * Building effective meta data repositories is complicated and time-consuming, and few IT departments have the necessary expertise to do it right-which is why this book is sure to find a ready audience * Begins with a quick overview of the Meta Data Repository Environment and the business uses of meta data, then goes on to describe the technical architecture followed by the detailed models