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Social Tagging in a Linked Data Environment



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 could 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 practicing 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.

List of figures and tables
1 Introduction: the continuing evolution of social tagging Diane Rasmussen Pennington and Louise F. Spiteri

2 Tagging the semantic web: combining Web 2.0and Web 3.0 Laura Cagnazzo

3 Social tags for linked data with Resource DescriptionFramework (RDF) Sue Yeon Syn

4 Social tagging and public policy Ryan Deschamps

5 Hashtags and library discovery systems Louise F. Spiteri

6 Social information discoverability in Facebook groups:the need for linked data strategies Laurie Bonnici and Jinxuan Ma
7 #FandomCommunication: how online fandomutilises tagging and folksonomy Max Dobson

8 Keys to their own voices: social tags for a dementiaontology as a human right Diane Rasmussen Pennington

9 Social tagging and the enterprise: an analysis ofsocial tagging in the workplace Sanjay Khanna

10 Use and effectiveness of social tagging recommendersystems Kishor John

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 CILIP'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).

'Overall, this is a well-researched, collaborative and useful book. It provides an in-depth look into the practical benefits of social tagging and recommendation systems... I definitely recommend this book for people who are interested in user-generated metadata and how it can be used along with legacy and standards-based metadata approaches.'

Catalogue & Index

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