Semantics, Analytics, Visualization. Enhancing Scholarly Data

Semantics, Analytics, Visualization. Enhancing Scholarly Data PDF

Author: Alejandra González-Beltrán

Publisher: Springer

Published: 2017-05-08

Total Pages: 153

ISBN-13: 3319536370

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This book constitutes the refereed proceedings of the Second International Workshop on Semantics, Analytics, Visualization,- Enhancing Scholarly Data,- SAVE-SD 2016, held in Montreal, QC, Canada, in April 2016. The 5 full papers, 6 demo and poster papers and 2 position papers, were carefully reviewed and selected from 16 submissions. The papers are organized in two topical sections: "Extracting Knowledge from Research Publications" and "Semantic Technologies for Citation and Topic Analysis".

Semantics, Analytics, Visualization

Semantics, Analytics, Visualization PDF

Author: Alejandra González-Beltrán

Publisher: Springer

Published: 2018-10-30

Total Pages: 171

ISBN-13: 3030013790

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This book constitutes the refereed proceedings of the 3rd International Workshop, SAVE-SD 2017, held in Perth, Australia, in April 2017, and the 4th International Workshop, SAVE-SD 2018, held in Lyon, France, in April 2018. The 6 full, 2 position and 4 short papers were selected from 16 submissions. The papers describe multiple ways in which scholarly dissemination can be approved: Creating structured data, providing methods for semantic computational analysis and designing systems for navigating. This allows a variety of stakeholders to understand research dynamics, predict trends and evaluate the quality of research.

Management of Information Systems

Management of Information Systems PDF

Author: Maria Pomffyova

Publisher: BoD – Books on Demand

Published: 2018-10-24

Total Pages: 298

ISBN-13: 1789841976

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Management functions were developed first as a systematic step to carry out management activities, while implementation of the information components followed as part of management elements. The authors point out that the use of the possibilities and advantages of quantitatively supported managerial decisions gives managers the ability to quantify the impacts of both technical (hard) and subjective (soft) constraints and improve managerial decision-making processes that would otherwise be based mostly on personal intuition and experience. To achieve the goals and benefits of excellent performance, it is necessary to design and develop integrated models that would coordinate management functions and information system components as an integrated process. These facts are presented in various case studies.

OECD Science, Technology and Innovation Outlook 2018 Adapting to Technological and Societal Disruption

OECD Science, Technology and Innovation Outlook 2018 Adapting to Technological and Societal Disruption PDF

Author: OECD

Publisher: OECD Publishing

Published: 2018-11-19

Total Pages: 320

ISBN-13: 9264307575

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The OECD Science, Technology and Innovation Outlook 2018 is the twelfth edition in a series that biennially reviews key trends in science, technology and innovation (STI) policy in OECD countries and a number of major partner economies. The 14 chapters within this edition look at a range of ...

Futuristic Technology Perspectives on Entrepreneurship and Sustainable Innovation

Futuristic Technology Perspectives on Entrepreneurship and Sustainable Innovation PDF

Author: Misra, Sanjay

Publisher: IGI Global

Published: 2023-05-31

Total Pages: 279

ISBN-13: 166845873X

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Entrepreneurs and information technology have formed the backbone of the global economy. The growing use of information technology in society and most industries and businesses, as well as the economic convergence of entrepreneurship and innovation, highlights the need for cutting-edge research on entrepreneurship and innovation in the context of information technology. Futuristic Technology Perspectives on Entrepreneurship and Sustainable Innovation provides rigorous and research-based chapters on the formation and implementation of effective strategies and business plans as well as current studies on the nature, process, and practice of entrepreneurship and innovation in the development, implementation, and application of information technology worldwide. Covering topics such as green entrepreneurship, design thinking, and skill building, this premier reference source is an essential resource for entrepreneurs, business leaders and managers, IT managers, technologists, government officials, medical professionals, financial planners, students and educators of higher education, librarians, researchers, and academicians.

Predicting the Dynamics of Research Impact

Predicting the Dynamics of Research Impact PDF

Author: Yannis Manolopoulos

Publisher: Springer Nature

Published: 2021-09-22

Total Pages: 304

ISBN-13: 3030866688

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This book provides its readers with an introduction to interesting prediction and science dynamics problems in the field of Science of Science. Prediction focuses on the forecasting of future performance (or impact) of an entity, either a research article or a scientist, and also the prediction of future links in collaboration networks or identifying missing links in citation networks. The single chapters are written in a way that help the reader gain a detailed technical understanding of the corresponding subjects, the strength and weaknesses of the state-of-the-art approaches for each described problem, and the currently open challenges. While chapter 1 provides a useful contribution in the theoretical foundations of the fields of scientometrics and science of science, chapters 2-4 turn the focal point to the study of factors that affect research impact and its dynamics. Chapters 5-7 then focus on article-level measures that quantify the current and future impact of scientific articles. Next, chapters 8-10 investigate subjects relevant to predicting the future impact of individual researchers. Finally, chapters 11-13 focus on science evolution and dynamics, leveraging heterogeneous and interconnected data, where the analysis of research topic trends and their evolution has always played a key role in impact prediction approaches and quantitative analyses in the field of bibliometrics. Each chapter can be read independently, since it includes a detailed description of the problem being investigated along with a thorough discussion and study of the respective state-of-the-art. Due to the cross-disciplinary character of the Science of Science field, the book may be useful to interested readers from a variety of disciplines like information science, information retrieval, network science, informetrics, scientometrics, and machine learning, to name a few. The profiles of the readers may also be diverse ranging from researchers and professors in the respective fields to students and developers being curious about the covered subjects.

Digital Libraries for Open Knowledge

Digital Libraries for Open Knowledge PDF

Author: Eva Méndez

Publisher: Springer

Published: 2018-09-04

Total Pages: 394

ISBN-13: 3030000664

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This book constitutes the proceedings of the 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018, held in Porto, Portugal, in September 2018. The 51 full papers, 17 short papers, and 13 poster and tutorial papers presented in this volume were carefully reviewed and selected from 81 submissions. The general theme of TPDL 2018 was Digital Libraries for Open Knowledge. The papers present a wide range of the following topics: Metadata, Entity Disambiguation, Data Management, Scholarly Communication, Digital Humanities, User Interaction, Resources, Information Extraction, Information Retrieval, Recommendation.

Linked Data Visualization

Linked Data Visualization PDF

Author: Laura Po

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 143

ISBN-13: 3031794907

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Linked Data (LD) is a well-established standard for publishing and managing structured information on the Web, gathering and bridging together knowledge from different scientific and commercial domains. The development of Linked Data Visualization techniques and tools has been followed as the primary means for the analysis of this vast amount of information by data scientists, domain experts, business users, and citizens. This book covers a wide spectrum of visualization issues, providing an overview of the recent advances in this area, focusing on techniques, tools, and use cases of visualization and visual analysis of LD. It presents the basic concepts related to data visualization and the LD technologies, the techniques employed for data visualization based on the characteristics of data techniques for Big Data visualization, use tools and use cases in the LD context, and finally a thorough assessment of the usability of these tools under different scenarios. The purpose of this book is to offer a complete guide to the evolution of LD visualization for interested readers from any background and to empower them to get started with the visual analysis of such data. This book can serve as a course textbook or a primer for all those interested in LD and data visualization.

Semantic Interaction for Visual Analytics

Semantic Interaction for Visual Analytics PDF

Author: Alex Endert

Publisher: Morgan & Claypool Publishers

Published: 2016-09-16

Total Pages: 101

ISBN-13: 1627052917

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This book discusses semantic interaction, a user interaction methodology for visual analytic applications that more closely couples the visual reasoning processes of people with the computation. This methodology affords user interaction on visual data representations that are native to the domain of the data. User interaction in visual analytics systems is critical to enabling visual data exploration. Interaction transforms people from mere viewers to active participants in the process of analyzing and understanding data. This discourse between people and data enables people to understand aspects of their data, such as structure, patterns, trends, outliers, and other properties that ultimately result in insight. Through interacting with visualizations, users engage in sensemaking, a process of developing and understanding relationships within datasets through foraging and synthesis. The book provides a description of the principles of semantic interaction, providing design guidelines for the integration of semantic interaction into visual analytics, examples of existing technologies that leverage semantic interaction, and a discussion of how to evaluate these technologies. Semantic interaction has the potential to increase the effectiveness of visual analytic technologies and opens possibilities for a fundamentally new design space for user interaction in visual analytics systems.