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Content

Part I -- 1. Engines of Order -- 2. Rethinking Software -- 3. Software-Making and Algorithmic Techniques -- Part II -- 4. From Universal Classification to a Postcoordinated Universe -- 5. From Frequencies to Vectors -- 6. Interested Learning -- 7. Calculating Networks: From Sociometry to PageRank -- Conclusion: Toward Technical Culture Erscheint als Open Access bei De Gruyter.

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Footnote

Rez. in: Cataloging and classification quarterly. 59(2021) no.7, p.681-684 (Ben Abrahamse).

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Footnote

Rez. in: Cataloging and classification quarterly. 59(2021) no.7, p.685-686 (Lucy Ingrey).

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Footnote

Rez. in: Cataloging and classification quarterly. 60(2022) no.3/4, p.329-331 (Erica Zhang).

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Abstract

For decades, we have been told we live in the "information age"-a time when disruptive technological advancement has reshaped the categories and social uses of knowledge and when quantitative assessment is increasingly privileged. Such methodologies and concepts of information are usually considered the provenance of the natural and social sciences, which present them as politically and philosophically neutral. Yet the humanities should and do play an important role in interpreting and critiquing the historical, cultural, and conceptual nature of information. This book is one of two companion volumes that explore theories and histories of information from a humanistic perspective. They consider information as a long-standing feature of social, cultural, and conceptual management, a matter of social practice, and a fundamental challenge for the humanities today. Information: A Reader provides an introduction to the concept of information in historical, literary, and cultural studies. It features excerpts from more than forty texts by theorists and critics who have helped establish the notion of the "information age" or expand upon it. The reader establishes a canonical framework for thinking about information in humanistic terms. Together with Information: Keywords, it sets forth a major humanistic vision of the concept of information.

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Abstract

This comprehensive text is the ideal resource for teaching human information behavior to undergraduate students. The text is organized in a thoughtful way to address all the most important aspects in an easy to digest manner, with the latter part of the book focusing on key areas of study within the information behavior field. The real world examples included in the text will appeal to undergraduate students and help them connect to what information behavior looks like in practice. The authors write in a winningly approachable style that will help students connect with the key concepts. I particularly like the inclusion of Discussion Questions which can be used by instructors as either homework or in class discussion points to foster a rich dialogue about each of the chapters. Applicable research studies are introduced in the text in an approachable way which will facilitate undergraduate engagement with the ongoing work in the discipline. The acronyms list and glossary at the back of the book are two additional, helpful resources for undergraduates to get caught up to speed on the most important topics under the umbrella of human information behavior.-- [Emily Vardell, PhD, assistant professor, School of Library and Information Management, Emporia State University]. Extremely accessible, comprehensive, and useful, Understanding Human Information Behavior: When, How, and Why People Interact with Information discusses the relevance and significance of its subject to our work and everyday life and is well-positioned to empower students to become helpful information and technology professionals.-- [Yan Zhang, associate professor, School of Information, The University of Texas at Austin].

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Content

Section 1 Context and purpose of knowledge architecture -- 1 Making the case for knowledge architecture -- 2 The landscape of knowledge assets -- 3 Knowledge architecture and design -- 4 Knowledge architecture reference model -- 5 Knowledge architecture segments -- Section 2 Designing for availability -- 6 Knowledge object modeling -- 7 Knowledge structures for encoding, formatting, and packaging -- 8 Functional architecture for identification and distinction -- 9 Functional architectures for knowledge asset disposition and destruction -- 10 Functional architecture designs for knowledge preservation and conservation -- Section 3 Designing for accessibility -- 11 Functional architectures for knowledge seeking and discovery -- 12 Functional architecture for knowledge search -- 13 Functional architecture for knowledge categorization -- 14 Functional architectures for indexing and keywording -- 15 Functional architecture for knowledge semantics -- 16 Functional architecture for knowledge abstraction and surrogation -- Section 4 Functional architectures to support knowledge consumption -- 17 Functional architecture for knowledge augmentation, derivation, and synthesis -- 18 Functional architecture to manage risk and harm -- 19 Functional architectures for knowledge authentication and provenance -- 20 Functional architectures for securing knowledge assets -- 21 Functional architectures for authorization and asset management -- Section 5 Pulling it all together - the big picture knowledge architecture -- 22 Functional architecture for knowledge metadata and metainformation -- 23 The whole knowledge architecture - pulling it all together

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Date

22. 6.2023 18:25:18