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

A Conceptual Framework for Metadata Quality Assessment

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

Get Book Here

Book Description


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.

Handbook Of Metadata, Semantics And Ontologies

Handbook Of Metadata, Semantics And Ontologies PDF Author: Miguel-angel Sicilia
Publisher: World Scientific
ISBN: 9814590355
Category : Computers
Languages : en
Pages : 579

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Book Description
Metadata research has emerged as a discipline cross-cutting many domains, focused on the provision of distributed descriptions (often called annotations) to Web resources or applications. Such associated descriptions are supposed to serve as a foundation for advanced services in many application areas, including search and location, personalization, federation of repositories and automated delivery of information. Indeed, the Semantic Web is in itself a concrete technological framework for ontology-based metadata. For example, Web-based social networking requires metadata describing people and their interrelations, and large databases with biological information use complex and detailed metadata schemas for more precise and informed search strategies.There is a wide diversity in the languages and idioms used for providing meta-descriptions, from simple structured text in metadata schemas to formal annotations using ontologies, and the technologies for storing, sharing and exploiting meta-descriptions are also diverse and evolve rapidly. In addition, there is a proliferation of schemas and standards related to metadata, resulting in a complex and moving technological landscape — hence, the need for specialized knowledge and skills in this area.The Handbook of Metadata, Semantics and Ontologies is intended as an authoritative reference for students, practitioners and researchers, serving as a roadmap for the variety of metadata schemas and ontologies available in a number of key domain areas, including culture, biology, education, healthcare, engineering and library science.

Metadata for Semantic and Social Applications

Metadata for Semantic and Social Applications PDF Author: Jane Greenberg
Publisher: Universitätsverlag Göttingen
ISBN: 3940344494
Category : Dublin Core
Languages : en
Pages : 235

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Book Description
Metadata is a key aspect of our evolving infrastructure for information management, social computing, and scientific collaboration. DC-2008 will focus on metadata challenges, solutions, and innovation in initiatives and activities underlying semantic and social applications. Metadata is part of the fabric of social computing, which includes the use of wikis, blogs, and tagging for collaboration and participation. Metadata also underlies the development of semantic applications, and the Semantic Web -- the representation and integration of multimedia knowledge structures on the basis of semantic models. These two trends flow together in applications such as Wikipedia, where authors collectively create structured information that can be extracted and used to enhance access to and use of information sources. Recent discussion has focused on how existing bibliographic standards can be expressed as Semantic Web vocabularies to facilitate the ingration of library and cultural heritage data with other types of data. Harnessing the efforts of content providers and end-users to link, tag, edit, and describe their information in interoperable ways (" participatory metadata") is a key step towards providing knowledge environments that are scalable, self-correcting, and evolvable. DC-2008 will explore conceptual and practical issues in the development and deployment of semantic and social applications to meet the needs of specific communities of practice.

Fundamentals of Data Warehouses

Fundamentals of Data Warehouses PDF Author: Matthias Jarke
Publisher: Springer Science & Business Media
ISBN: 3662051532
Category : Computers
Languages : en
Pages : 328

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Book Description
This book presents the first comparative review of the state of the art and the best current practices of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, metadata management, quality assessment, and design optimization. A conceptual framework is presented by which the architecture and quality of a data warehouse can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence.

Measuring Data Quality for Ongoing Improvement

Measuring Data Quality for Ongoing Improvement PDF Author: Laura Sebastian-Coleman
Publisher: Newnes
ISBN: 0123977541
Category : Computers
Languages : en
Pages : 404

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Book Description
The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You’ll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. You’ll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies. Demonstrates how to leverage a technology independent data quality measurement framework for your specific business priorities and data quality challenges Enables discussions between business and IT with a non-technical vocabulary for data quality measurement Describes how to measure data quality on an ongoing basis with generic measurement types that can be applied to any situation

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.

Information Technologies for Performing Arts, Media Access, and Entertainment

Information Technologies for Performing Arts, Media Access, and Entertainment PDF Author: Paolo Nesi
Publisher: Springer
ISBN: 3642400507
Category : Computers
Languages : en
Pages : 303

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Book Description
This book contains revised selected papers from the Second International Conference on Information Technologies for Performing Arts, Media Access and Entertainment, ECLAP 2013, held in Porto, Portugal, in April 2013. The 24 papers presented were carefully reviewed and selected for inclusion in this book. They are organized in topical sections named: perspectives and (digital) strategies for cultural heritage institutions; trust, quality and tools for cultural heritage digital libraries; educational services for the performing arts; dance in the world of data and objects; acting and natural interaction; and music and opera of a digital generation.

Web Engineering

Web Engineering PDF Author: Sören Auer
Publisher: Springer
ISBN: 3642222331
Category : Computers
Languages : en
Pages : 433

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Book Description
This book constitutes the refereed proceedings of the 11th International Conference on Web Engineering, held in Paphos, Cyprus, in June 2011. The 22 revised full papers and 15 revised poster papers presented together with 2 invited lectures were carefully reviewed and selected from 90 submissions for inclusion in the book. The papers topics cover a broad range of areas, namely, the Semantic Web, Web Services, Mashups, Web 2.0, Web quality, Web development, etc.

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.