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This volume presents international research and exhaustive reviews of literature on a range of issues related to the evolving digital environment. With the growing trend for digital-only access to information, this volume makes an important contribution in both highlighting problems and challenges, and pointing to pathways for future solutions.
This volume provides approaches and solutions to challenges occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find the best possible interpretation of data for the underlying problem situations. Beside traditional classification research, the book focuses on current interests in fields such as the analysis of social relationships as well as statistical musicology.
Research can face artificial intelligence (AI) as an issue of technology development but also as an issue of enacted technology at work. Human-centered design of AI gives emphasis to the expertise and needs of human beings as a starting point of technology development or as an outcome of AI-based work settings. This is an important goal, as expressed, for example, by the international labor organization's call for a "human-centered agenda" for the future of AI and automation collaboration. This Research Topic raises the question of what human-centricity means, i.e. what are the criteria and indicators of human-centered AI and how can they be considered and implemented?
Collaborative information services on Web 2.0 are used by Internet users to produce digital information resources, and to furnish the contents of the resources with their own keywords, so-called tags. This book deals with collaborative information services and folksonomies as a method of representing knowledge and a tool for information retrieval. Collaborative information services on Web 2.0 are used by Internet users not only to produce digital information resources, but also to furnish the contents of the resources with their own keywords, so-called tags. Whilst doing so the user is not required to comply with rules, as is necessary with a library catalogue. The amount of user-generated tags in a collaborative information service is referred to as folksonomy. Folksonomies allow users to relocate their own resources and to search for other resources. This book deals with collaborative information services and folksonomies both as a method of representing knowledge and a tool for information retrieval.
The advent of new information retrieval (IR) technologies and approaches to storage and retrieval provide communities with previously unheard of opportunities for mass documentation, digitization, and the recording of information in all its forms. This book introduces and contextualizes these developments and looks at supporting research in IR, the debates, theories and issues. Contributed by an international team of experts, each authored chapter provides a snapshot of changes in the field, as well as the importance of developing innovation, creativity and thinking in IR practice and research. Key discussion areas include: browsing in new information environments classification revisited: a web of knowledge approaches to fiction retrieval research music information retrieval research folksonomies, social tagging and information retrieval digital information interaction as semantic navigation assessing web search machines: a webometric approach. Readership: LIS professionals , researchers and students, and for all those interested in the future of IR.
"This book explores the origin, structure, purpose, and function of socially interactive technologies known as social software"--Provided by publisher.