Social Tagging In A Linked Data Environment
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Social Tagging In A Linked Data Environment
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Author : Diane Rasmussen Pennington
language : en
Publisher:
Release Date : 2019
Social Tagging In A Linked Data Environment written by Diane Rasmussen Pennington and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Hashtags (Metadata) categories.
This book, representing researchers and practitioners across different information professions, will explore how social tags can link content across a variety of environments.
Social Tagging For Linking Data Across Environments
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Author : Louise F. Spiteri
language : en
Publisher: Facet Publishing
Release Date : 2018-09-30
Social Tagging For Linking Data Across Environments written by Louise F. Spiteri and has been published by Facet Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-30 with Language Arts & Disciplines categories.
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.
A Framework For Working With Cross Application Social Tagging Data
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Author : Walter Christian Kammergruber
language : en
Publisher:
Release Date : 2015
A Framework For Working With Cross Application Social Tagging Data written by Walter Christian Kammergruber and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Social Tagging In A Scholarly Digital Library Environment
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Author : Noorhidawati Abdullah
language : en
Publisher:
Release Date : 2013
Social Tagging In A Scholarly Digital Library Environment written by Noorhidawati Abdullah and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Digital libraries categories.
Exploiting Social Tagging Network For Web Mining And Search
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Author : Caimei Lu
language : en
Publisher:
Release Date : 2013
Exploiting Social Tagging Network For Web Mining And Search written by Caimei Lu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Information science categories.
The rapidly growing social data created by users through Web 2.0 applications has intrigued active research in data mining and information retrieval (IR) community. The social tags created by users through social tagging system are one type of such social data. This thesis is dedicated to investigating whether and how the social tagging data can be utilized to enhance the performance of web mining and search methods. First, in order to reveal whether social tags are effective document features which can be used to represent and index web documents, the author compares social tags with other type of index terms, including expert-created subject terms, author-provided keywords and description terms, as well as the content words of web documents. The results of the comparison studies show that social tags contain both high-quality index terms and subjective and personal terms. Besides, like author-provided keywords and description terms, social tags provide additional information beyond the content words of tagged web documents, but social tags are more effective than author-provided keywords and description terms as independent document features for web clustering. The author further researches different approaches to improve web clustering performance by leveraging the social tagging data. The author proposes a novel clustering method called Tripartite Clustering which clusters web documents, users and tags simultaneously based on the social tagging network. The author also investigates two other social tagging-based clustering approaches with K-means and Link K-means clustering methods. Experimental results show that all tag-based clustering methods can significantly improve the performance of content-based clustering. Compared to tag-based K-means and Link K-means, Tripartite Clustering achieves equivalent or better performance and produces more useful information. The author also develops a novel personalized search framework based on a hyper-graph model of social tagging. During the search process, the proposed framework combines three types of relations from the social tagging network for query expansion and ranking: the social relation among users, the semantic relation among tags, and the tripartite relation among users, tags and web documents. Experiments demonstrate that the proposed personalized search framework is more efficient and effective than baseline search methods. Finally, the author proposes a novel topic model to simulate the generation of social tags and accordingly discover the topical structures of documents and users' tagging perspectives. Experimental analysis shows that the proposed Topic-Perspective model has better generative ability than topic models proposed in existing literature. Besides, this model also generates more useful information about document topics, user perspectives, and the impact of document topics and user perspectives on tag generation. In sum, this thesis not only reveals the potential value of social tags as document features and index terms of web documents, but also demonstrates how the social tagging network can be effectively utilized for web mining and search.
Challenges And Opportunities For Knowledge Organization In The Digital Age
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Author : Fernanda Ribeiro
language : en
Publisher: Ergon Verlag
Release Date : 2018-07-11
Challenges And Opportunities For Knowledge Organization In The Digital Age written by Fernanda Ribeiro and has been published by Ergon Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-11 with Language Arts & Disciplines categories.
Thema der 15. Internationalen Konferenz der International Society for Knowledge Organization vom 9. bis 11. Juli 2018 in Porto ist "Challenges and Opportunities for Knowledge Organization in the Digital Age". Der Konferenzband fasst die Vorträge von Wissenschaftlern aus aller Welt zusammen.
Driving Science Information Discovery In The Digital Age
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Author : Svetla Baykoucheva
language : en
Publisher: Chandos Publishing
Release Date : 2021-09-30
Driving Science Information Discovery In The Digital Age written by Svetla Baykoucheva and has been published by Chandos Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-30 with Language Arts & Disciplines categories.
New digital technologies have transformed how scientific information is created, disseminated—and discovered. The emergence of new forms of scientific publishing based on open science and open access have caused a major shift in scientific communication and a restructuring of the flow of information. Specialized indexing services and search engines are trying to get into information seekers’ minds to understand what users are actually looking for when typing all these keywords or drawing chemical structures. Using artificial intelligence (AI), machine learning, and semantic indexing, these "discovery agents" are trying to anticipate users’ information needs. In this highly competitive environment, authors should not sit and rely only on publishers, search engines, and indexing services to make their works visible. They need to communicate about their research and reach out to a larger audience. Driving Science Information Discovery in the Digital Age looks through the "eyes" of the main "players" in this "game" and examines the discovery of scientific information from three different, but intertwined, perspectives: Discovering, managing, and using information (Information seeker perspective) Publishing, disseminating, and making information discoverable (Publisher perspective) Creating, spreading, and promoting information (Author perspective). Presents an overview of the current scientific publishing landscape Shows how users can search for scientific information more efficiently Critically analyses the metrics used to measure the quality of journals and the impact of research Looks at the discovery of scientific information from the perspectives of information seekers, publishers, and authors Delves into the practices used by specialized indexing services and search engines to process scientific information and make it discoverable Recommends strategies that authors could use to promote their research
New Directions In Information Organization
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Author : Jung-ran Park
language : en
Publisher: Emerald Group Publishing
Release Date : 2013-07-19
New Directions In Information Organization written by Jung-ran Park and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-19 with Language Arts & Disciplines categories.
New Directions in Information Organization, co-edited by Dr. Jung-ran Park and Dr. Lynne Howarth seeks to provide an overview and understanding of the future directions, leading edge theories and models for research and practice in information organization.
Metadata
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Author : Jian Qin
language : en
Publisher: American Library Association
Release Date : 2020-06-22
Metadata written by Jian Qin and has been published by American Library Association this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-22 with Language Arts & Disciplines categories.
This benchmark text is back in a new edition thoroughly updated to incorporate developments and changes in metadata and related domains. Zeng and Qin provide a solid grounding in the variety and interrelationships among different metadata types, offering a comprehensive look at the metadata schemas that exist in the world of library and information science and beyond. Readers will gain knowledge and an understanding of key topics such as the fundamentals of metadata, including principles of metadata, structures of metadata vocabularies, and metadata descriptions; metadata building blocks, from modeling to defining properties, from designing application profiles to implementing value vocabularies, and from specification generating to schema encoding, illustrated with new examples; best practices for metadata as linked data, the new functionality brought by implementing the linked data principles, and the importance of knowledge organization systems; resource metadata services, quality measurement, and interoperability approaches; research data management concepts like the FAIR principles, metadata publishing on the web and the recommendations by the W3C in 2017, related Open Science metadata standards such as Data Catalog Vocabulary (DCAT) version 2, and metadata-enabled reproducibility and replicability of research data; standards used in libraries, archives, museums, and other information institutions, plus existing metadata standards’ new versions, such as the EAD 3, LIDO 1.1, MODS 3.7, DC Terms 2020 release coordinating its ISO 15396-2:2019, and Schema.org’s update in responding to the pandemic; and newer, trending forces that are impacting the metadata domain, including entity management, semantic enrichment for the existing metadata, mashup culture such as enhanced Wikimedia contents, knowledge graphs and related processes, semantic annotations and analysis for unstructured data, and supporting digital humanities (DH) through smart data. A supplementary website provides additional resources, including examples, exercises, main takeaways, and editable files for educators and trainers.
Recommender Systems For Social Tagging Systems
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Author : Leandro Balby Marinho
language : en
Publisher: Springer
Release Date : 2012-02-13
Recommender Systems For Social Tagging Systems written by Leandro Balby Marinho and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-13 with Computers categories.
Social Tagging Systems are web applications in which users upload resources (e.g., bookmarks, videos, photos, etc.) and annotate it with a list of freely chosen keywords called tags. This is a grassroots approach to organize a site and help users to find the resources they are interested in. Social tagging systems are open and inherently social; features that have been proven to encourage participation. However, with the large popularity of these systems and the increasing amount of user-contributed content, information overload rapidly becomes an issue. Recommender Systems are well known applications for increasing the level of relevant content over the “noise” that continuously grows as more and more content becomes available online. In social tagging systems, however, we face new challenges. While in classic recommender systems the mode of recommendation is basically the resource, in social tagging systems there are three possible modes of recommendation: users, resources, or tags. Therefore suitable methods that properly exploit the different dimensions of social tagging systems data are needed. In this book, we survey the most recent and state-of-the-art work about a whole new generation of recommender systems built to serve social tagging systems. The book is divided into self-contained chapters covering the background material on social tagging systems and recommender systems to the more advanced techniques like the ones based on tensor factorization and graph-based models.