Metadata Solutions Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Metadata Solutions book. This book definitely worth reading, it is an incredibly well-written.
Introduces concepts for organizing data within a company to make it more accessible and meaningful. The author explains where databases went wrong in the 1990s, describes metadata-based technologies and standards, and illustrates the various implementation options by depicting five distinct metadata solutions for the same problem.
This benchmark text is back in a new edition thoroughly updated to incorporate developments and changes in metadata and related domains. Zeng and Qin provide a solid grounding in the variety and interrelationships among different metadata types, offering a comprehensive look at the metadata schemas that exist in the world of library and information science and beyond. Readers will gain knowledge and an understanding of key topics such as the fundamentals of metadata, including principles of metadata, structures of metadata vocabularies, and metadata descriptions; metadata building blocks, from modeling to defining properties, from designing application profiles to implementing value vocabularies, and from specification generating to schema encoding, illustrated with new examples; best practices for metadata as linked data, the new functionality brought by implementing the linked data principles, and the importance of knowledge organization systems; resource metadata services, quality measurement, and interoperability approaches; research data management concepts like the FAIR principles, metadata publishing on the web and the recommendations by the W3C in 2017, related Open Science metadata standards such as Data Catalog Vocabulary (DCAT) version 2, and metadata-enabled reproducibility and replicability of research data; standards used in libraries, archives, museums, and other information institutions, plus existing metadata standards’ new versions, such as the EAD 3, LIDO 1.1, MODS 3.7, DC Terms 2020 release coordinating its ISO 15396-2:2019, and Schema.org’s update in responding to the pandemic; and newer, trending forces that are impacting the metadata domain, including entity management, semantic enrichment for the existing metadata, mashup culture such as enhanced Wikimedia contents, knowledge graphs and related processes, semantic annotations and analysis for unstructured data, and supporting digital humanities (DH) through smart data. A supplementary website provides additional resources, including examples, exercises, main takeaways, and editable files for educators and trainers.
With the explosion of new audio and video content on the Web, it's more important than ever to use accurate and comprehensive metadata to get the most out of that content. Developing Quality Metadata is an advanced user guide that will help you improve your metadata by making it accurate and coherent with your own solutions. This book is designed to get you thinking about solving problems in a proactive and productive way by including practical descriptions of powerful programming tools and user techniques using several programming languages. For example, you can use shell scripting as part of the graphic arts and media production process, or you can use a popular spreadsheet application to drive your workflow. The concepts explored in this book are framed within the context of a multimedia professional working on the Web or in broadcasting, but they are relevant to anyone responsible for a growing library of content, be it audio-visual, text, or financial.
This book is for any Flex developer who is comfortable with the basics and wants to take their knowledge to the next level. It provides a library of over 100 solutions to common problems. Each solution takes you through the workings of the example step-by-step and then presents some expert's tips, which will take your understanding further and give you unique insights into Flex development. Coverage includes Flex 2 components, charting, working with remote data, data validation, displaying data with list based controls, controlling the look and feel of applications, application security, and working with dynamic data sources.
Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are acquired very fast, and geospatial databases are inherently very large. And while there have been advances in hardware and software for handling big data, they often fall short of handling geospatial big data ef
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.
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.
This volume constitutes the selected paqpers of the third international conference on Metadata and Semantic Research, MTSR 2009, held in Milan, Italy, in September/October 2009. In order to give a novel perspective in which both theoretical and application aspects of metadata research contribute in the growth of the area, this book mirrors the structure of the Congress, grouping the papers into three main categories: 1) theoretical research: results and proposals, 2) applications: case studies and proposals, 3) special track: metadata and semantics for agriculture, food and environment. The book contains 32 full papers (10 for the first category, 10 for the second and 12 for the third), selected from a preliminary initial set of about 70 submissions.
Rapid access to information is a prime requirement in any organization that wants to have a competitive edge in today's fast changing markets. How to retrieve information? How to capture data? How to format it? The answer lies in Data Warehousing. This HOTT Guide will give you access to all the essential information about the newest data storehouse: through articles by expert trendwachters on strategic considerations, how-to reports defining the various ways to extract the data needed for critical business decisions, technical papers clarifying technologies and tools, business cases and key concepts that will provide the reader with a comprehensive overview of a business solution that is already indispensable.
Business Metadata: Capturing Enterprise Knowledge is the first book that helps businesses capture corporate (human) knowledge and unstructured data, and offer solutions for codifying it for use in IT and management. Written by Bill Inmon, one of the fathers of the data warehouse and well-known author, the book is filled with war stories, examples, and cases from current projects. It includes a complete metadata acquisition methodology and project plan to guide readers every step of the way, and sample unstructured metadata for use in self-testing and developing skills. This book is recommended for IT professionals, including those in consulting, working on systems that will deliver better knowledge management capability. This includes people in these positions: data architects, data analysts, SOA architects, metadata analysts, repository (metadata data warehouse) managers as well as vendors that have a metadata component as part of their systems or tools. First book that helps businesses capture corporate (human) knowledge and unstructured data, and offer solutions for codifying it for use in IT and management Written by Bill Inmon, one of the fathers of the data warehouse and well-known author, and filled with war stories, examples, and cases from current projects Very practical, includes a complete metadata acquisition methodology and project plan to guide readers every step of the way Includes sample unstructured metadata for use in self-testing and developing skills