ID - 40453539 TI - Social tagging in a linked data environment AU - Neal, Diane Rasmussen AU - Spiteri, Louise F PY - 2019 SN - 9781783303380 9781783303397 9781783303403 1783303409 1783303387 1783303395 PB - London DB - UniCat KW - Linked data. KW - Social media. KW - Libraries and museums KW - Electronic information resources. KW - Documentaire informatie KW - Massacommunicatie KW - Computerarchitectuur. Operating systems KW - Documentation and information KW - Mass communications KW - Computer architecture. Operating systems KW - World Wide Web KW - Recommender systems (Information filtering) KW - Subject access. KW - User-generated media KW - Communication KW - User-generated content KW - Engines, Recommendation (Information filtering) KW - Recommendation engines (Information filtering) KW - Recommendation systems (Information filtering) KW - Systems, Recommendation (Information filtering) KW - Systems, Recommender (Information filtering) KW - Information filtering systems KW - Subject access to the World Wide Web KW - Subject retrieval on the World Wide Web KW - Subject cataloging KW - Web search engines KW - Data, Linked KW - Linked open data KW - LOD (Linked data) KW - Open linked data KW - Opendata, Linked KW - Metadata KW - Semantic Web KW - Uniform Resource Identifiers KW - Library linked data KW - Open data, Linked UR - https://www.unicat.be/uniCat?func=search&query=sysid:40453539 AB - Social tagging, hashtags, and geotags are used across a variety of platforms (Twitter, Facebook, Tumblr, WordPress, Instagram) in different countries and cultures. This book, representing researchers and practitioners across different information professions, explores how social tags can link content across a variety of environments. Most studies of social tagging have tended to focus on applications like library catalogues, blogs, and social bookmarking sites. This book, in setting out a theoretical background and the use of a series of case studies, explores the role of hashtags as a form of linked data - without the complex implementation of RDF and other Semantic Web technologies. Social Tagging for Linking Data across Environments will be useful reading for practicing library and information professionals who implement electronic access to collections, including cataloguers, systems developers, information architects and web developers. It would also be useful for students taking programmes on Library/Information science, Information Management, Computer Science, and Information Architecture. ER -