Handbook Of Metadata Semantics And Ontologies

Download or read book Handbook Of Metadata, Semantics And Ontologies written by Miguel-angel Sicilia and published by World Scientific. This book was released on 2013-12-17 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Metadata and Semantic Research written by Emmanouel Garoufallou and published by Springer Nature. This book was released on 2021-03-17 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Semantic Knowledge Management: An Ontology-Based Framework written by Zilli, Antonio and published by IGI Global. This book was released on 2008-08-31 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Download or read book Spinning the Semantic Web written by Dieter Fensel and published by MIT Press. This book was released on 2005 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to the Semantic Web, which will transform the Web into a structured network of resources organized by meaning and relationships.

Download or read book Multimedia Data Management written by Wolfgang Klas and published by McGraw-Hill Companies. This book was released on 1998 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Web Semantics & Ontology written by Taniar, David and published by IGI Global. This book was released on 2006-02-28 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Download or read book Knowledge Graphs written by Aidan Hogan and published by Morgan & Claypool Publishers. This book was released on 2021-11-08 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.