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Social Tagging in a Linked Data Environment

Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Social Tagging in a Linked Data Environment examines the evolving role of social tagging and hashtags across platforms like Twitter, Facebook, and Instagram, highlighting their capacity to link diverse information resources globally. The book discusses the transition from Web 2.0 to the Semantic Web (Web 3.0), emphasising how social tagging can transform library discovery systems into interactive social spaces. Key topics include the use of hashtags in public policy, their function in library catalogues, enterprise applications, linked data potential, and sharing of information needs.
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Format: Hardback
$37600
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

Ideal for library and information professionals, including cataloguers, system developers, information architects, and web developers. Also recommended for students in library and information science, information management, computer science, and information architecture programmes.

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This book, representing researchers and practitioners across different information professions, will explore how social tags can link content across a variety of environments.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Social tagging (including hashtags) is used over platforms such as Twitter, Facebook, Instagram, Pinterest, WordPress, Tumblr, and YouTube across countries and cultures, meaning that one single hashtag can link information from a variety of resources. This new book explores social tagging as a potential form of linked data and shows how it can provide an increasingly important way to categorise and store information resources.

The internet is moving rapidly from the social web embodied in Web 2.0 to the Semantic Web (Web 3.0), where information resources are linked to make them comprehensible to both machines and humans. Traditionally, library discovery systems have pushed information but did not allow for any interaction with the users of the catalogue, while social tagging provides a means to help library discovery systems become social spaces where users can input and interact with content.

The editors and their international contributors explore key issues including:

  • The use of hashtags in the dissemination of public policy
  • The use of hashtags as information portals in library catalogues
  • Social tagging in enterprise environments
  • The linked data potential of social tagging
  • Sharing and disseminating information needs via social tagging

Social Tagging in a Linked Data Environment will be useful reading for practising library and information professionals involved in electronic access to collections, including cataloguers, system developers, information architects, and web developers. It would also be useful for students taking programmes in library and information science, information management, computer science, and information architecture.

Book Details

INFORMATION

ISBN: 9781783303397

Publisher: Facet Publishing

Format: Hardback

Date Published: 20 November 2018

Country: United Kingdom

Imprint: Facet Publishing

Contributors:

  • Edited by Louise Spiteri
  • Edited by Diane Rasmussen Pennington

Audience: Professional and scholarly

DIMENSIONS

Width: 156.0mm

Height: 234.0mm

Weight: 250g

Pages: 240

About the Author

Diane Rasmussen Pennington is a Lecturer in Information Science in the Department of Computer and Information Sciences at the University of Strathclyde. She is also Hon Secretary for CILIPโ€™s Library and Information Research Group (LIRG) and the Social Media Manager for the Association for Information Science & Technology (ASIS&T). A former systems librarian, she teaches classes in the organisation of knowledge and library technologies. Her research investigates representation and retrieval of non-text information as well as online health information. She is the editor of Facet's Computing for Information Professionals series.
Louise Spiteri is Associate Professor at the School of Information Management, Dalhousie University, Nova Scotia, Canada. Her areas of research interest focus on social tagging, user-generated metadata, discovery systems, classification systems, and taxonomies. She teaches in the areas of metadata, cataloguing, information management, and records management and is the editor of the Facet Publishing book, Managing Metadata in Web-scale Discovery Systems (2016).

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