Data and Information in Online Environments

Data and Information in Online Environments PDF Author: Edgar Bisset Álvarez
Publisher: Springer Nature
ISBN: 3030774171
Category : Computers
Languages : en
Pages : 479

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Book Description
This book constitutes the refereed post-conference proceedings of the Second International Conference on Data Information in Online Environments, DIONE 2021, which took place in March 2021. Due to COVID-19 pandemic the conference was held virtually. DIONE 2021 presents theoretical proposals and practical solutions in the treatment, processing and study of data and information produced in online environments, the latest trends in the analysis of network information, media metrics social, data processing technologies and open science. The 40 revised full papers were carefully reviewed and selected from 86 submissions. The papers are grouped in thematical sessions on evaluation of science in social networking environment; scholarly publishing and online communication; and education in online environments.

Data and Information in Online Environments

Data and Information in Online Environments PDF Author: Edgar Bisset Álvarez
Publisher: Springer Nature
ISBN: 3030774171
Category : Computers
Languages : en
Pages : 479

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Book Description
This book constitutes the refereed post-conference proceedings of the Second International Conference on Data Information in Online Environments, DIONE 2021, which took place in March 2021. Due to COVID-19 pandemic the conference was held virtually. DIONE 2021 presents theoretical proposals and practical solutions in the treatment, processing and study of data and information produced in online environments, the latest trends in the analysis of network information, media metrics social, data processing technologies and open science. The 40 revised full papers were carefully reviewed and selected from 86 submissions. The papers are grouped in thematical sessions on evaluation of science in social networking environment; scholarly publishing and online communication; and education in online environments.

Data and Information in Online Environments

Data and Information in Online Environments PDF Author: Adilson Luiz Pinto
Publisher: Springer Nature
ISBN: 3031223241
Category : Computers
Languages : en
Pages : 282

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Book Description
This book constitutes the refereed post-conference proceedings of the Third EAI International Conference on Data and Information in Online Environments, DIONE 2022, held as virtual event, in July 28-29, 2022. Due to COVID-19 pandemic the conference was held virtually. DIONE 2022 aims to bring together academicians and practitioners willing to discuss topics around the intersection of Computer Science, Information Science, and Communication Science. The attractiveness of the scope and topics has brought relevant research results. This proceeding consists of chapters covering deep learning, data management, software design, social networks, natural language processing, and data processing in various contexts like scholarly publishing, health and medicine, higher education, innovation and research, energy and transportation, and organizations. The 18 full papers and 2 short papers were carefully reviewed and selected from 56 submissions. The papers are grouped in thematic sessions as follows: Informational challenges for the study of Science, Technology and Society relationships; and Advances in Artificial Intelligence for data processing and analysis in online social environments.

Data and Information in Online Environments

Data and Information in Online Environments PDF Author: Rogério Mugnaini
Publisher: Springer Nature
ISBN: 3030500721
Category : Computers
Languages : en
Pages : 256

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Book Description
This book constitutes the refereed post-conference proceedings of the First International Conference on Data and Information in Online Environments, DIONE 2020, which took place in Florianópolis, Brazil, in March 2020. DIONE 2020 handles the growing interaction between the information sciences, communication sciences and computer sciences. The 18 revised full papers were carefully reviewed and selected from 37 submissions and focus on the production, dissemination and evaluation of contents in online environments. The goal is to improve cooperation between data science, natural language processing, data engineering, big data, research evaluation, network science, sociology of science and communication communities.

Assessing Information Processing and Online Reasoning as a Prerequisite for Learning in Higher Education

Assessing Information Processing and Online Reasoning as a Prerequisite for Learning in Higher Education PDF Author: Olga Zlatkin-Troitschanskaia
Publisher: Frontiers Media SA
ISBN: 2832501648
Category : Science
Languages : en
Pages : 374

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Book Description


National Environment Satellite, Data, and Information Service

National Environment Satellite, Data, and Information Service PDF Author: United States. National Environmental Satellite, Data, and Information Service
Publisher:
ISBN:
Category : Climatology
Languages : en
Pages : 100

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Book Description


Incidental Exposure to Online News

Incidental Exposure to Online News PDF Author: Borchuluun Yadamsuren
Publisher: Morgan & Claypool Publishers
ISBN: 1627058818
Category : Computers
Languages : en
Pages : 93

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Book Description
Rapid technological changes and availability of news anywhere and at any moment have changed how people seek out news. Increasingly, consumers no longer take deliberate actions to read the news, instead stumbling upon news online. While the emergence of serendipitous news discovery online has been recognized in the literature, there is a limited understanding about how people experience this behavior. Based on the mixed method study that investigated online news reading behavior of residents in a Midwestern U.S. town, we explore how people accidentally discover news when engaged in various online activities. Employing the grounded theory approach, we define Incidental Exposure to Online News (IEON) as individual's memorable experiences of chance encounters with interesting, useful, or surprising news while using the Internet for news browsing or for non-news-related online activities, such as checking email or visiting social networking sites. The book presents a conceptual framework of IEON that advances research and an understanding of serendipitous news discovery from people's holistic experiences of news consumption in their everyday lives. The proposed IEON Process Model identifies key steps in an IEON experience that could help news reporters and developers of online news platforms create innovative storytelling and design strategies to catch consumers' attention during their online activities. Finally, this book raises important methodological questions for further investigation: how should serendipitous news discovery be studied, measured, and observed, and what are the essential elements that differentiate this behavior from other types of online news consumption and information behaviors?

Data Science and Big Data: An Environment of Computational Intelligence

Data Science and Big Data: An Environment of Computational Intelligence PDF Author: Witold Pedrycz
Publisher: Springer
ISBN: 3319534742
Category : Technology & Engineering
Languages : en
Pages : 303

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Book Description
This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today’s knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.

Information Services Today

Information Services Today PDF Author: Sandra Hirsh
Publisher: Rowman & Littlefield
ISBN: 144223959X
Category : Language Arts & Disciplines
Languages : en
Pages : 515

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Book Description
This essential overview of what it means to be a library and information professional today provides a broad overview of the transformation of libraries as information organizations, why these organizations are more important today than ever before, the technological influence on how we provide information resources and services in today’s digital and global environment, and the various career opportunities available for information professionals. The book begins with a historical overview of libraries and their transformation as information and technology hubs within their communities. It also covers the various specializations within the field emphasizing the exciting yet complex roles and opportunities for information professionals. With that foundation in place, it presents how libraries serve different kinds of communities, highlighting the unique needs of users across all ages and how libraries fulfill those needs through a variety of services, and addresses key issues facing information organizations as they meet user needs in the Digital Age. The book then concludes with career management strategies to guide library and information science professionals in building not only vibrant careers but vibrant information organizations for the future as well.

Learning in Information-Rich Environments

Learning in Information-Rich Environments PDF Author: Delia Neuman
Publisher: Springer Nature
ISBN: 3030294102
Category : Education
Languages : en
Pages : 227

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Book Description
The amount and range of information available to today’s students—and indeed to all learners—is unprecedented. If the characteristics of “the information age” demand new conceptions of commerce, national security, and publishing—among other things—it is logical to assume that they carry implications for education as well. Little has been written, however, about how the specific affordances of these technologies—and the kinds of information they allow students to access and create—relate to the central purpose of education: learning. What does “learning” mean in an information-rich environment? What are its characteristics? What kinds of tasks should it involve? What concepts, strategies, attitudes, and skills do educators and students need to master if they are to learn effectively and efficiently in such an environment? How can researchers, theorists, and practitioners foster the well-founded and widespread development of such key elements of the learning process? This second edition continues these discussions and suggests some tentative answers. Drawing primarily from research and theory in three distinct but related fields—learning theory, instructional systems design, and information studies—it presents a way to think about learning that responds directly to the actualities of a world brimming with information. The second edition also includes insights from digital and critical literacies and provides a combination of an updated research-and-theory base and a collection of instructional scenarios for helping teachers and librarians implement each step of the I-LEARN model. The book could be used in courses in teacher preparation, academic-librarian preparation, and school-librarian preparation.

Big Data and Internet of Things: A Roadmap for Smart Environments

Big Data and Internet of Things: A Roadmap for Smart Environments PDF Author: Nik Bessis
Publisher: Springer
ISBN: 331905029X
Category : Technology & Engineering
Languages : en
Pages : 477

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Book Description
This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The book is a state-of-the-art reference discussing progress made, as well as prompting future directions on the theories, practices, standards and strategies that are related to the emerging computational technologies and their association with supporting the Internet of Things advanced functioning for organizational settings including both business and e-science. Apart from inter-operable and inter-cooperative aspects, the book deals with a notable opportunity namely, the current trend in which a collectively shared and generated content is emerged from Internet end-users. Specifically, the book presents advances on managing and exploiting the vast size of data generated from within the smart environment (i.e. smart cities) towards an integrated, collective intelligence approach. The book also presents methods and practices to improve large storage infrastructures in response to increasing demands of the data intensive applications. The book contains 19 self-contained chapters that were very carefully selected based on peer review by at least two expert and independent reviewers and is organized into the three sections reflecting the general themes of interest to the IoT and Big Data communities: Section I: Foundations and Principles Section II: Advanced Models and Architectures Section III: Advanced Applications and Future Trends The book is intended for researchers interested in joining interdisciplinary and transdisciplinary works in the areas of Smart Environments, Internet of Things and various computational technologies for the purpose of an integrated collective computational intelligence approach into the Big Data era.