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Abstract

Knowledge Architectures reviews traditional approaches to managing information and explains why they need to adapt to support 21st-century information management and discovery. Exploring the rapidly changing environment in which information is being managed and accessed, the book considers how to use knowledge architectures, the basic structures and designs that underlie all of the parts of an effective information system, to best advantage. Drawing on 40 years of work with a variety of organizations, Bedford explains that failure to understand the structure behind any given system can be the difference between an effective solution and a significant and costly failure. Demonstrating that the information user environment has shifted significantly in the past 20 years, the book explains that end users now expect designs and behaviors that are much closer to the way they think, work, and act. Acknowledging how important it is that those responsible for developing an information or knowledge management system understand knowledge structures, the book goes beyond a traditional library science perspective and uses case studies to help translate the abstract and theoretical to the practical and concrete. Explaining the structures in a simple and intuitive way and providing examples that clearly illustrate the challenges faced by a range of different organizations, Knowledge Architectures is essential reading for those studying and working in library and information science, data science, systems development, database design, and search system architecture and engineering.

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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Abstract

'Information science in theory and practice' berichtet über die wissenschaftlichen Erkenntnisse auf dem Feld des Informationsaustausches. Dabei werden die menschlichen und sozialen Aspekte ausführlicher behandelt als die rein technischen. Diskutiert werden die Fragen nach dem Verhalten der Menschen als Erzeuger, Empfänger und Nutzer von Informationen, der Organisiation und Funktionsweise von Informationssystemen, dem quantitativen Studium von informativen Mitteilungen, der semantischen Organisation von Mitteilungen und Kanälen mit dem Ziel der Identifizierbarmachung für Empfänger und Quelle und den Problemen bei der Informationsspeicherung, der Analyse und der Wiederauffindung. Die überarbeitete Auflage enthält außerdem aktuelle Verweise, einen neuen Anhang mit Informationen über die Forschung auf dem Gebiet der 'intelligent search interfaces' und einen neuen, detaillierten Index

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Abstract

This book contributes to discussions within Information Retrieval and Science (IR&S) by improving our conceptual understanding of the relationship between humans and technology. A call to redirect the intellectual focus of information retrieval and science (IR&S) toward the phenomenon of technology-mediated experience. In this book, Sachi Arafat and Elham Ashoori issue a call to reorient the intellectual focus of information retrieval and science (IR&S) away from search and related processes toward the more general phenomenon of technology-mediated experience. Technology-mediated experience accounts for an increasing proportion of human lived experience; the phenomenon of mediation gets at the heart of the human-machine relationship. Framing IR&S more broadly in this way generalizes its problems and perspectives, dovetailing them with those shared across disciplines dealing with socio-technical phenomena. This reorientation of IR&S requires imagining it as a new kind of science: a science of technology-mediated experience (STME). Arafat and Ashoori not only offer detailed analysis of the foundational concepts underlying IR&S and other technical disciplines but also boldly call for a radical, systematic appropriation of the sciences and humanities to create a better understanding of the human-technology relationship. Arafat and Ashoori discuss the notion of progress in IR&S and consider ideas of progress from the history and philosophy of science. They argue that progress in IR&S requires explicit linking between technical and nontechnical aspects of discourse. They develop a network of basic questions and present a discursive framework for addressing these questions. With this book, Arafat and Ashoori provide both a manifesto for the reimagining of their field and the foundations on which a reframed IR&S would rest.

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Content

Inhalt: Introduction: Information and Humanities, by Michele Kennerly, Samuel Frederick, and Jonathan E. Abel -- Abundance, by Damien Smith Pfister -- Algorithm, by Jeremy David Johnson -- Archive, by Laura Helton -- Bioinformatics, by Haun Saussy -- Cognition, by N. Katherine Hayles -- Gossip, by Elizabeth Horodowich -- Index, by Dennis Duncan -- Intel, by Geoffrey Winthrop-Young -- Keyword, by Daniel Rosenberg -- Knowledge, by Chad Wellmon -- Noise, by Matt Jordan -- Screen, by Francesco Casetti and Bernard Dionysius Geoghegan -- Search, by David L. Marshall -- Self-Tracking, by Deborah Lupton -- Tele (???e), by Wolf Kittler.

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Date

22. 6.2008 13:03:30