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Abstract

Indexing consists of both novel and more traditional techniques. Cutting-edge indexing techniques, such as automatic indexing, ontologies, and topic maps, were developed independently of older techniques such as thesauri, but it is now recognized that these older methods also hold expertise. Indexing describes various traditional and novel indexing techniques, giving information professionals and students of library and information sciences a broad and comprehensible introduction to indexing. This title consists of twelve chapters: an Introduction to subject readings and theasauri; Automatic indexing versus manual indexing; Techniques applied in automatic indexing of text material; Automatic indexing of images; The black art of indexing moving images; Automatic indexing of music; Taxonomies and ontologies; Metadata formats and indexing; Tagging; Topic maps; Indexing the web; and The Semantic Web.

Date

24. 8.2016 14:03:22

RSWK

Semantic Web

Subject

Semantic Web

Theme

Semantic Web

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Abstract

An overview of the field of information organization that examines resource description as both a product and process of the contemporary digital environment. This timely book employs the unifying mechanism of the semantic web and the resource description framework to integrate the various traditions and practices of information and knowledge organization. Uniquely, it covers both the domain-specific traditions and practices and the practices of the 'metadata movement' through a single lens - that of resource description in the broadest, semantic web sense. This approach more readily accommodates coverage of the new Resource Description and Access (RDA) standard, which aims to move library cataloguing into the centre of the semantic web. The work surrounding RDA looks set to revolutionise the field of information organization, and this book will bring both the standard and its model and concepts into focus.

Content

Information resource attributes - metadata for information retrieval - metadata sources and quality - economics and management of metadata - knowledge organization systems - the semantic web - books and e-books, websites and audiovisual resources - business and government documents - learning resources - the field of information/knowledge organization.

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Abstract

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.

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Abstract

More and more libraries, archives, and museums are creating online collections of digitized resources. Where can those charged with organizing these new collections turn for guidance on the actual practice of metadata design and creation? "Metadata for Digital Collections: A How-to-do-it Manual" is suitable for libraries, archives, and museums. This practical, hands-on volume will make it easy for readers to acquire the knowledge and skills they need, whether they use the book on the job or in a classroom. Author Steven Miller introduces readers to fundamental concepts and practices in a style accessible to beginners and LIS students, as well as experienced practitioners with little metadata training. He also takes account of the widespread use of digital collection management systems such as CONTENTdm. Rather than surveying a large number of metadata schemes, Miller covers only three of the schemes most commonly used in general digital resource description, namely, Dublin Core, MODS, and VRA. By limiting himself, Miller is able to address the chosen schemes in greater depth. He is also able to include numerous practical examples that clarify common application issues and challenges. He provides practical guidance on applying each of the Dublin Core elements, taking special care to clarify those most commonly misunderstood. The book includes a step-by-step guide on how to design and document a metadata scheme for local institutional needs and for specific digital collection projects. The text also serves well as an introduction to broader metadata topics, including XML encoding, mapping between different schemes, metadata interoperability and record sharing, OAI harvesting, and the emerging environment of Linked Data and the Semantic Web, explaining their relevance to current practitioners and students. Each chapter offers a set of exercises, with suggestions for instructors. A companion website includes additional practical and reference resources.

Content

Introduction to metadata for digital collections -- Introduction to resource description and Dublin Core -- Resource identification and responsibility elements -- Resource content and relationship elements -- Controlled vocabularies for improved resource discovery -- XML-encoded metadata -- MODS : the Metadata Object Description Schema -- VRA Core : the Visual Resources Association Core Categories -- Metadata interoperability, shareability, and quality -- Designing and documenting a metadata scheme -- Metadata, linked data, and the Semantic Web.