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Introducing the new library; Mechanized housekeeping; Automatic indexing and abstracting; Storage and retrieval systems; System analysis and evaluation; Dynamic information processing.
This inspiring book will enable academic librarians to develop excellent research and instructional services and create a library culture that encompasses exploration, learning and collaboration. Higher education and academic libraries are in a period of rapid evolution. Technology, pedagogical shifts, and programmatic changes in education mean that libraries must continually evaluate and adjust their services to meet new needs. Research and learning across institutions is becoming more team-based, crossing disciplines and dependent on increasingly sophisticated and varied data. To provide valuable services in this shifting, diverse environment, libraries must think about new ways to support research on their campuses, including collaborating across library and departmental boundaries. This book is intended to enrich and expand your vision of research support in academic libraries by: Inspiring you to think creatively about new services. Sparking ideas of potential collaborations within and outside the library, increasing awareness of functional areas that are potential key partners. Providing specific examples of new services, as well as the decision-making and implementation process. Encouraging you to take a broad view of research support rather than thinking of research and instruction services, metadata creation and data services etc as separate initiatives. Dynamic Research Support in Academic Libraries provides illustrative examples of emerging models of research support and is contributed to by library practitioners from across the world. The book is divided into three sections: Part I: Training and Infrastructure, which describes the role of staff development and library spaces in research support Part II: Data Services and Data Literacy, which sets out why the rise of research data services in universities is critical to supporting the current provision of student skills that will help develop them as data-literate citizens. Part III: Research as a Conversation, which discusses academic library initiatives to support the dissemination, discovery and critical analysis of research. This is an essential guide for librarians and information professionals involved in supporting research and scholarly communication, as well as library administrators and students studying library and information science.
Investigates the nature and history of dynamic processes essential to understanding the need for flexibility and adaptability as well as the requirements to improve solutions.
As social technologies continue to evolve, it is apparent that librarians and their clientele would benefit through participation in the digital social world. While there are benefits to implementing these technologies, many libraries also face challenges in the integration and usage of social media. Social Media Strategies for Dynamic Library Service Development discusses the integration of digital social networking into library practices. Highlighting the advantages and challenges faced by libraries in the application of social media, this publication is a critical reference source for professionals and researchers working within the fields of library and information science, as well as practitioners and executives interested in the utilization of social technologies in relation to knowledge management and organizational development.
This book explores how digital culture is transforming museums in the 21st century. Offering a corpus of new evidence for readers to explore, the authors trace the digital evolution of the museum and that of their audiences, now fully immersed in digital life, from the Internet to home and work. In a world where life in code and digits has redefined human information behavior and dominates daily activity and communication, ubiquitous use of digital tools and technology is radically changing the social contexts and purposes of museum exhibitions and collections, the work of museum professionals and the expectations of visitors, real and virtual. Moving beyond their walls, with local and global communities, museums are evolving into highly dynamic, socially aware and relevant institutions as their connections to the global digital ecosystem are strengthened. As they adopt a visitor-centered model and design visitor experiences, their priorities shift to engage audiences, convey digital collections, and tell stories through exhibitions. This is all part of crafting a dynamic and innovative museum identity of the future, made whole by seamless integration with digital culture, digital thinking, aesthetics, seeing and hearing, where visitors are welcomed participants. The international and interdisciplinary chapter contributors include digital artists, academics, and museum professionals. In themed parts the chapters present varied evidence-based research and case studies on museum theory, philosophy, collections, exhibitions, libraries, digital art and digital future, to bring new insights and perspectives, designed to inspire readers. Enjoy the journey!
Readings in Fuzzy Sets for Intelligent Systems is a collection of readings that explore the main facets of fuzzy sets and possibility theory and their use in intelligent systems. Basic notions in fuzzy set theory are discussed, along with fuzzy control and approximate reasoning. Uncertainty and informativeness, information processing, and membership, cognition, neural networks, and learning are also considered. Comprised of eight chapters, this book begins with a historical background on fuzzy sets and possibility theory, citing some forerunners who discussed ideas or formal definitions very close to the basic notions introduced by Lotfi Zadeh (1978). The reader is then introduced to fundamental concepts in fuzzy set theory, including symmetric summation and the setting of fuzzy logic; uncertainty and informativeness; and fuzzy control. Subsequent chapters deal with approximate reasoning; information processing; decision and management sciences; and membership, cognition, neural networks, and learning. Numerical methods for fuzzy clustering are described, and adaptive inference in fuzzy knowledge networks is analyzed. This monograph will be of interest to both students and practitioners in the fields of computer science, information science, applied mathematics, and artificial intelligence.
This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Symposium on Quantum Interaction, QI 2011, held in Aberdeen, UK, in June 2011. The 26 revised full papers and 6 revised poster papers, presented together with 1 tutorial and 1 invited talk were carefully reviewed and selected from numerous submissions during two rounds of reviewing and improvement. The papers show the cross-disciplinary nature of quantum interaction covering topics such as computation, cognition, mechanics, social interaction, semantic space and information representation and retrieval.
This compilation of original papers on information retrieval presents an overview, covering both general theory and specific methods, of the development and current status of information retrieval systems. Each chapter contains several papers carefully chosen to represent substantive research work that has been carried out in that area, each is preceded by an introductory overview and followed by supported references for further reading.
This monograph opens up new horizons for engineers and researchers in academia and in industry dealing with or interested in new developments in the field of system identification and control. It emphasizes guidelines for working solutions and practical advice for their implementation rather than the theoretical background of Gaussian process (GP) models. The book demonstrates the potential of this recent development in probabilistic machine-learning methods and gives the reader an intuitive understanding of the topic. The current state of the art is treated along with possible future directions for research. Systems control design relies on mathematical models and these may be developed from measurement data. This process of system identification, when based on GP models, can play an integral part of control design in data-based control and its description as such is an essential aspect of the text. The background of GP regression is introduced first with system identification and incorporation of prior knowledge then leading into full-blown control. The book is illustrated by extensive use of examples, line drawings, and graphical presentation of computer-simulation results and plant measurements. The research results presented are applied in real-life case studies drawn from successful applications including: a gas–liquid separator control; urban-traffic signal modelling and reconstruction; and prediction of atmospheric ozone concentration. A MATLAB® toolbox, for identification and simulation of dynamic GP models is provided for download.
In a technology-driven world, it is essential that enterprises develop reliable and rapid flows of knowledge to distribute evenly across organizations, time and place, and individuals in order to sustain a competitive advantage. However, most leaders and managers are unacquainted with effective knowledge flow practices. Harnessing Dynamic Knowledge Principles in the Technology-Driven World provides actionable principles of Knowledge Flow Theory to identify and solve problems for implementing these principles into practice. With emerging developments and widespread applicability, this book is a practical guide for scholars, business managers, and enterprise leaders and managers interested in understanding the dynamics of knowledge flows for competitive advantage in a technology-driven world.