Handbook Of Metadata, Semantics And Ontologies

Handbook Of Metadata, Semantics And Ontologies

Author: Miguel-angel Sicilia

Publisher: World Scientific

Published: 2013-12-17

Total Pages: 579

ISBN-13: 9814590355

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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 and Semantic Research

Metadata and Semantic Research

Author: Emmanouel Garoufallou

Publisher: Springer Nature

Published: 2021-03-17

Total Pages: 412

ISBN-13: 3030719030

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This book constitutes the thoroughly refereed proceedings of the 14th International Conference on Metadata and Semantic Research, MTSR 2020, held in Madrid, Spain, in December 2020. Due to the COVID-19 pandemic the conference was held online. The 24 full and 13 short papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in the following tracks: metadata, linked data, semantics and ontologies; metadata and semantics for digital libraries, information retrieval, big, linked, social and open data; metadata and semantics for agriculture, food, and environment, AgroSEM 2020; metadata and semantics for open repositories, research information systems and data infrastructures; digital humanities and digital curation, DHC 2020; metadata and semantics for cultural collections and applications; european and national projects; knowledge IT artifacts (KITA) in professional communities and aggregations, KITA 2020.


Spinning the Semantic Web

Spinning the Semantic Web

Author: Dieter Fensel

Publisher: MIT Press

Published: 2005

Total Pages: 516

ISBN-13: 9780262562126

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A guide to the Semantic Web, which will transform the Web into a structured network of resources organized by meaning and relationships.


Semantic Knowledge Management: An Ontology-Based Framework

Semantic Knowledge Management: An Ontology-Based Framework

Author: Zilli, Antonio

Publisher: IGI Global

Published: 2008-08-31

Total Pages: 458

ISBN-13: 1605660353

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"This book addresses the Semantic Web from an operative point of view using theoretical approaches, methodologies, and software applications as innovative solutions to true knowledge management"--Provided by publisher.


Multimedia Data Management

Multimedia Data Management

Author: Wolfgang Klas

Publisher: McGraw-Hill Companies

Published: 1998

Total Pages: 430

ISBN-13:

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Here is the authoritative handbook on multimedia metadata and data management. In one volume, it gathers a wealth of information from the field's leading international experts in this emerging specialty. Multimedia data -- text, image, voice, and video -- poses unique challenges to product developers and database professionals in midsized to giant organizations. They need to know how multimedia can be effectively stored, accessed, and integrated into applications. The key is "metadata", which acts as an umbrella for multimedia data and allows it to be modeled and managed. In this invaluable guide, well-known contributors from the U.S., Japan, and Europe examine the metadata concept, present relevant standards, and discuss its global use in video databases, speech documents, satellite and medical imaging, and other applications.


Web Semantics & Ontology

Web Semantics & Ontology

Author: Taniar, David

Publisher: IGI Global

Published: 2006-02-28

Total Pages: 404

ISBN-13: 1591409071

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"This book provides an overview of current research and development activities in the area of web semantics and ontology, giving an in-depth description of different issues, including modeling, using ontologies in enterprise systems, querying and knowledge discovering of ontologies"--Provided by publisher.


Ontology Matching

Ontology Matching

Author: Jérôme Euzenat

Publisher: Springer Science & Business Media

Published: 2007-06-15

Total Pages: 332

ISBN-13: 3540496122

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Ontologies are viewed as the silver bullet for many applications, but in open or evolving systems, different parties can adopt different ontologies. This increases heterogeneity problems rather than reducing heterogeneity. This book proposes ontology matching as a solution to the problem of semantic heterogeneity, offering researchers and practitioners a uniform framework of reference to currently available work. The techniques presented apply to database schema matching, catalog integration, XML schema matching and more.


Knowledge Graphs

Knowledge Graphs

Author: Aidan Hogan

Publisher: Morgan & Claypool Publishers

Published: 2021-11-08

Total Pages: 257

ISBN-13: 1636392369

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This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced with notions of schema, identity, and context. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques—based on statistics, graph analytics, machine learning, etc.—can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopted. The book closes by discussing the current limitations and future directions along which knowledge graphs are likely to evolve. This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics.


An Introduction to Ontology Engineering

An Introduction to Ontology Engineering

Author: C. Maria Keet

Publisher:

Published: 2018-11-07

Total Pages: 344

ISBN-13: 9781848902954

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An Introduction to Ontology Engineering introduces the student to a comprehensive overview of ontology engineering, and offers hands-on experience that illustrate the theory. The topics covered include: logic foundations for ontologies with languages and automated reasoning, developing good ontologies with methods and methodologies, the top-down approach with foundational ontologies, and the bottomup approach to extract content from legacy material, and a selection of advanced topics that includes Ontology-Based Data Access, the interaction between ontologies and natural languages, and advanced modelling with fuzzy and temporal ontologies. Each chapter contains review questions and exercises, and descriptions of two group assignments are provided as well. The textbook is aimed at advanced undergraduate/postgraduate level in computer science and could fi t a semester course in ontology engineering or a 2-week intensive course. Domain experts and philosophers may fi nd a subset of the chapters of interest, or work through the chapters in a different order. Maria Keet is an Associate Professor with the Department of Computer Science, University of Cape Town, South Africa. She received her PhD in Computer Science in 2008 at the KRDB Research Centre, Free University of Bozen-Bolzano, Italy. Her research focus is on knowledge engineering with ontologies and Ontology, and their interaction with natural language and conceptual data modelling, which has resulted in over 100 peer-reviewed publications. She has developed and taught multiple courses on ontology engineering and related courses at various universities since 2009.


The Semantic Web Explained

The Semantic Web Explained

Author: Péter Szeredi

Publisher: Cambridge University Press

Published: 2014-09-11

Total Pages: 481

ISBN-13: 0521700361

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The Semantic Web is a new area of research and development in the field of computer science that aims to make it easier for computers to process the huge amount of information on the web, and indeed other large databases, by enabling them not only to read, but also to understand the information. Based on successful courses taught by the authors, and liberally sprinkled with examples and exercises, this comprehensive textbook describes not only the theoretical issues underlying the Semantic Web, but also algorithms, optimisation ideas and implementation details. The book will therefore be valuable to practitioners as well as students, indeed to anyone who is interested in Internet technology, knowledge engineering or description logics. Supplementary materials available online include the source code of program examples and solutions to selected exercises.