Search (40 results, page 1 of 2)

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Content

Inhalt: Uses, Users, and User Interaction Metadata Applications - Semantic Browsing / Alexander Faaborg, Carl Lagoze Annotation and Recommendation Automatic Classification and Indexing - Cross-Lingual Text Categorization / Nuria Bel, Cornelis H.A. Koster, Marta Villegas - Automatic Multi-label Subject Indexing in a Multilingual Environment / Boris Lauser, Andreas Hotho Web Technologies Topical Crawling, Subject Gateways - VASCODA: A German Scientific Portal for Cross-Searching Distributed Digital Resource Collections / Heike Neuroth, Tamara Pianos Architectures and Systems Knowledge Organization: Concepts - The ADEPT Concept-Based Digital Learning Environment / T.R. Smith, D. Ancona, O. Buchel, M. Freeston, W. Heller, R. Nottrott, T. Tierney, A. Ushakov - A User Evaluation of Hierarchical Phrase Browsing / Katrina D. Edgar, David M. Nichols, Gordon W. Paynter, Kirsten Thomson, Ian H. Witten - Visual Semantic Modeling of Digital Libraries / Qinwei Zhu, Marcos Andre Gongalves, Rao Shen, Lillian Cassell, Edward A. Fox Collection Building and Management Knowledge Organization: Authorities and Works - Automatic Conversion from MARC to FRBR / Christian Monch, Trond Aalberg Information Retrieval in Different Application Areas Digital Preservation Indexing and Searching of Special Document and Collection Information

Editor

Koch, T. u. I. Torvik Solvberg

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Content

Inhalt: Bawden, D.: Encountering on the road to serendip? Browsing in new information environments. - Slavic, A.: Classification revisited: a web of knowledge. - Vernitski, A. u. P. Rafferty: Approaches to fiction retrieval research, from theory to practice? - Inskip, C.: Music information retrieval research. - Peters, I.: Folksonomies, social tagging and information retrieval. - Kopak, R., L. Freund u. H. O'Brien: Digital information interaction as semantic navigation. - Thelwall, M.: Assessing web search engines: a webometric approach

Footnote

Rez. in: Mitt VÖB 64(2911) H.3/4, S.547-553 (O. Oberhauser): "Dieser mit 156 Seiten (inklusive Register) relativ schmale Band enthält sieben mit dem Gütesiegel "peer-reviewed" versehene Beiträge namhafter Autoren zu "research fronts" auf dem Gebiet des Information Retrieval (IR) - ein Begriff, der hier durchaus breit verstanden wird. Wie die Herausgeber Allen Foster und Pauline Rafferty - beide aus dem Department of Information Studies an der Aberystwyth University (Wales) - in ihrer Einleitung betonen, sind Theorie und Praxis der Wissensorganisation im Internet- Zeitalter nicht mehr nur die Domäne von Informationswissenschaftlern und Bibliotheksfachleuten, sondern auch von Informatikern, Semantic-Web-Entwicklern und Wissensmanagern aus den verschiedensten Institutionen; neben das wissenschaftliche Interesse am Objektbereich ist nun auch das kommerzielle getreten. Die Verarbeitung von Massendaten, die Beschäftigung mit komplexen Medien und die Erforschung der Möglichkeiten zur Einbeziehung der Rezipienten sind insbesondere die Aspekte, um die es heute geht. ..." Weitere Rez. in: Library review 61(2012) no.3, S.233-235 (G. Macgregor); J. Doc. 69(2013) no.2, S.320-321 (J. Bates)

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Editor

Crestani, F. u. I. Ruthven

Footnote

Rez. in: Mitt. VÖB 59(2006) H.3, S.100-103 (O. Oberhauser): "Dieses als Band 3507 der bekannten, seit 1973 erscheinenden Springer-Serie Lecture Notes in Computer Science (LNCS) publizierte Buch versammelt die Vorträge der 5. Tagung "Conceptions of Library and Information Science". CoLIS hat sich in den letzten anderthalb Jahrzehnten als internationales Forum für die Präsentation und Rezeption von Forschung auf den Fachgebieten Informatik und Informationswissenschaft etabliert. Auf die 1992 in Tampere (Finnland) anlässlich des damals 20jährigen Bestehens des dortigen Instituts für Informationswissenschaft abgehaltene erste Tagung folgten weitere in Kopenhagen (1996), Dubrovnik (1999) und Seattle, WA (2002). Die zuletzt an der Strathclyde University in Glasgow (2005) veranstaltete Konferenz war dem Thema "Context" im Rahmen der informationsbezogenen Forschung gewidmet, einem komplexen, dynamischen und multidimensionalen Begriff von grosser Bedeutung für das Verhalten und die Interaktion von Mensch und Maschine. . . .
Am interessantesten und wichtigsten erschien mir der Grundsatzartikel von Peter Ingwersen und Kalervo Järvelin (Kopenhagen/Tampere), The sense of information: Understanding the cognitive conditional information concept in relation to information acquisition (S. 7-19). Hier versuchen die Autoren, den ursprünglich von Ingwersen1 vorgeschlagenen und damals ausschliesslich im Zusammenhang mit dem interaktiven Information Retrieval verwendeten Begriff "conditional cognitive information" anhand eines erweiterten Modells nicht nur auf das Gesamtgebiet von "information seeking and retrieval" (IS&R) auszuweiten, sondern auch auf den menschlichen Informationserwerb aus der Sinneswahrnehmung, wie z.B. im Alltag oder im Rahmen der wissenschaftlichen Erkenntnistätigkeit. Dabei werden auch alternative Informationsbegriffe sowie die Beziehung von Information und Bedeutung diskutiert. Einen ebenfalls auf Ingwersen zurückgehenden Ansatz thematisiert der Beitrag von Birger Larsen (Kopenhagen), indem er sich mit dessen vor über 10 Jahren veröffentlichten2 Principle of Polyrepresentation befasst. Dieses beruht auf der Hypothese, wonach die Überlappung zwischen unterschiedlichen kognitiven Repräsentationen - nämlich jenen der Situation des Informationssuchenden und der Dokumente - zur Reduktion der einer Retrievalsituation anhaftenden Unsicherheit und damit zur Verbesserung der Performance des IR-Systems genutzt werden könne. Das Prinzip stellt die Dokumente, ihre Autoren und Indexierer, aber auch die sie zugänglich machende IT-Lösung in einen umfassenden und kohärenten theoretischen Bezugsrahmen, der die benutzerorientierte Forschungsrichtung "Information-Seeking" mit der systemorientierten IR-Forschung zu integrieren trachtet. Auf der Basis theoretischer Überlegungen sowie der (wenigen) dazu vorliegenden empirischen Studien hält Larsen das Model, das von Ingwersen sowohl für "exact match-IR" als auch für "best match-IR" intendiert war, allerdings schon in seinen Grundzügen für "Boolean" (d.h. "exact match"-orientiert) und schlägt ein "polyrepresentation continuum" als Verbesserungsmöglichkeit vor.

Theme

Semantisches Umfeld in Indexierung u. Retrieval

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Classification

006.7 22

Date

7. 3.2007 19:30:22

DDC

006.7 22

Editor

Stamou, G. u. S. Kollias

Footnote

Semantic web technologies are explained, and ontology representation is emphasized. There is an excellent summary of the fundamental theory behind applying a knowledge-engineering approach to vision problems. This summary represents the concept of the semantic web and multimedia content analysis. A definition of the fuzzy knowledge representation that can be used for realization in multimedia content applications has been provided, with a comprehensive analysis. The second part of the book introduces the multimedia content analysis approaches and applications. In addition, some examples of methods applicable to multimedia content analysis are presented. Multimedia content analysis is a very diverse field and concerns many other research fields at the same time; this creates strong diversity issues, as everything from low-level features (e.g., colors, DCT coefficients, motion vectors, etc.) up to the very high and semantic level (e.g., Object, Events, Tracks, etc.) are involved. The second part includes topics on structure identification (e.g., shot detection for video sequences), and object-based video indexing. These conventional analysis methods are supplemented by results on semantic multimedia analysis, including three detailed chapters on the development and use of knowledge models for automatic multimedia analysis. Starting from object-based indexing and continuing with machine learning, these three chapters are very logically organized. Because of the diversity of this research field, including several chapters of recent research results is not sufficient to cover the state of the art of multimedia. The editors of the book should write an introductory chapter about multimedia content analysis approaches, basic problems, and technical issues and challenges, and try to survey the state of the art of the field and thus introduce the field to the reader.
The final part of the book discusses research in multimedia content management systems and the semantic web, and presents examples and applications for semantic multimedia analysis in search and retrieval systems. These chapters describe example systems in which current projects have been implemented, and include extensive results and real demonstrations. For example, real case scenarios such as ECommerce medical applications and Web services have been introduced. Topics in natural language, speech and image processing techniques and their application for multimedia indexing, and content-based retrieval have been elaborated upon with extensive examples and deployment methods. The editors of the book themselves provide the readers with a chapter about their latest research results on knowledge-based multimedia content indexing and retrieval. Some interesting applications for multimedia content and the semantic web are introduced. Applications that have taken advantage of the metadata provided by MPEG7 in order to realize advance-access services for multimedia content have been provided. The applications discussed in the third part of the book provide useful guidance to researchers and practitioners properly planning to implement semantic multimedia analysis techniques in new research and development projects in both academia and industry. A fourth part should be added to this book: performance measurements for integrated approaches of multimedia analysis and the semantic web. Performance of the semantic approach is a very sophisticated issue and requires extensive elaboration and effort. Measuring the semantic search is an ongoing research area; several chapters concerning performance measurement and analysis would be required to adequately cover this area and introduce it to readers."

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Content

Enthält u.a. die Beiträge: Fugmann, R.: Learning the lessons of the past; Davis, C.H.: Indexing and index editing at Chemical Abstracts before the Registry System; Roe , E.M.: Abstracts and indexes to branded full text: what's in a name?; Lynch, M.F.: Introduction of computers in chemical structure information systems, or what is not recorded in the annals; Baatz, S.: Medical science and medical informatics: The visible human project, 1986-2000.

Editor

Rayward, W.B. u. M.E. Bowden

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Date

22. 3.2008 14:35:21

Issue

2., überarb. u. erw. Aufl.

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Date

23. 3.2008 19:10:22

Editor

Fayyad, U. et al.

Footnote

Rez. in: JASIST 54(2003) no.9, S.905-906 (C.A. Badurek): "Visual approaches for knowledge discovery in very large databases are a prime research need for information scientists focused an extracting meaningful information from the ever growing stores of data from a variety of domains, including business, the geosciences, and satellite and medical imagery. This work presents a summary of research efforts in the fields of data mining, knowledge discovery, and data visualization with the goal of aiding the integration of research approaches and techniques from these major fields. The editors, leading computer scientists from academia and industry, present a collection of 32 papers from contributors who are incorporating visualization and data mining techniques through academic research as well application development in industry and government agencies. Information Visualization focuses upon techniques to enhance the natural abilities of humans to visually understand data, in particular, large-scale data sets. It is primarily concerned with developing interactive graphical representations to enable users to more intuitively make sense of multidimensional data as part of the data exploration process. It includes research from computer science, psychology, human-computer interaction, statistics, and information science. Knowledge Discovery in Databases (KDD) most often refers to the process of mining databases for previously unknown patterns and trends in data. Data mining refers to the particular computational methods or algorithms used in this process. The data mining research field is most related to computational advances in database theory, artificial intelligence and machine learning. This work compiles research summaries from these main research areas in order to provide "a reference work containing the collection of thoughts and ideas of noted researchers from the fields of data mining and data visualization" (p. 8). It addresses these areas in three main sections: the first an data visualization, the second an KDD and model visualization, and the last an using visualization in the knowledge discovery process. The seven chapters of Part One focus upon methodologies and successful techniques from the field of Data Visualization. Hoffman and Grinstein (Chapter 2) give a particularly good overview of the field of data visualization and its potential application to data mining. An introduction to the terminology of data visualization, relation to perceptual and cognitive science, and discussion of the major visualization display techniques are presented. Discussion and illustration explain the usefulness and proper context of such data visualization techniques as scatter plots, 2D and 3D isosurfaces, glyphs, parallel coordinates, and radial coordinate visualizations. Remaining chapters present the need for standardization of visualization methods, discussion of user requirements in the development of tools, and examples of using information visualization in addressing research problems.
In 13 chapters, Part Two provides an introduction to KDD, an overview of data mining techniques, and examples of the usefulness of data model visualizations. The importance of visualization throughout the KDD process is stressed in many of the chapters. In particular, the need for measures of visualization effectiveness, benchmarking for identifying best practices, and the use of standardized sample data sets is convincingly presented. Many of the important data mining approaches are discussed in this complementary context. Cluster and outlier detection, classification techniques, and rule discovery algorithms are presented as the basic techniques common to the KDD process. The potential effectiveness of using visualization in the data modeling process are illustrated in chapters focused an using visualization for helping users understand the KDD process, ask questions and form hypotheses about their data, and evaluate the accuracy and veracity of their results. The 11 chapters of Part Three provide an overview of the KDD process and successful approaches to integrating KDD, data mining, and visualization in complementary domains. Rhodes (Chapter 21) begins this section with an excellent overview of the relation between the KDD process and data mining techniques. He states that the "primary goals of data mining are to describe the existing data and to predict the behavior or characteristics of future data of the same type" (p. 281). These goals are met by data mining tasks such as classification, regression, clustering, summarization, dependency modeling, and change or deviation detection. Subsequent chapters demonstrate how visualization can aid users in the interactive process of knowledge discovery by graphically representing the results from these iterative tasks. Finally, examples of the usefulness of integrating visualization and data mining tools in the domain of business, imagery and text mining, and massive data sets are provided. This text concludes with a thorough and useful 17-page index and lengthy yet integrating 17-page summary of the academic and industrial backgrounds of the contributing authors. A 16-page set of color inserts provide a better representation of the visualizations discussed, and a URL provided suggests that readers may view all the book's figures in color on-line, although as of this submission date it only provides access to a summary of the book and its contents. The overall contribution of this work is its focus an bridging two distinct areas of research, making it a valuable addition to the Morgan Kaufmann Series in Database Management Systems. The editors of this text have met their main goal of providing the first textbook integrating knowledge discovery, data mining, and visualization. Although it contributes greatly to our under- standing of the development and current state of the field, a major weakness of this text is that there is no concluding chapter to discuss the contributions of the sum of these contributed papers or give direction to possible future areas of research. "Integration of expertise between two different disciplines is a difficult process of communication and reeducation. Integrating data mining and visualization is particularly complex because each of these fields in itself must draw an a wide range of research experience" (p. 300). Although this work contributes to the crossdisciplinary communication needed to advance visualization in KDD, a more formal call for an interdisciplinary research agenda in a concluding chapter would have provided a more satisfying conclusion to a very good introductory text.

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Editor

Spink, A. u. C. Cole

Footnote

Rez. in: Mitt. VÖB 59(2006) H.3, S.95-98 (O. Oberhauser): "Dieser Sammelband der Herausgeber A. Spink & C. Cole ist kurz vor ihrem im letzten Heft der Mitteilungen der VÖB besprochenen zweiten Buch erschienen. Er wendet sich an Informationswissenschaftler, Bibliothekare, Sozialwissenschaftler sowie Informatiker mit Interesse am Themenbereich Mensch-Computer-Interaktion und präsentiert einen Einblick in die aktuelle Forschung zum kognitiv orientierten Information Retrieval. Diese Richtung, die von der Analyse der Informationsprobleme der Benutzer und deren kognitivem Verhalten bei der Benutzung von Informationssystemen ausgeht, steht in einem gewissen Kontrast zum traditionell vorherrschenden IR-Paradigma, das sich auf die Optimierung der IR-Systeme und ihrer Effizienz konzentriert. "Cognitive information retrieval" oder CIR (natürlich geht es auch hier nicht ohne ein weiteres Akronym ab) ist ein interdisziplinärer Forschungsbereich, der Aktivitäten aus Informationswissenschaft, Informatik, Humanwissenschaften, Kognitionswissenschaft, Mensch-Computer-Interaktion und anderen informationsbezogenen Gebieten inkludiert.

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Editor

Griesbaum, J., T. Mandl u. C. Womser-Hacker

Footnote

Rez. in: Mitt. VÖB. 65(2012) H.1, S.109-113 (O. Oberhauser).

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Editor

Heery, R. u. E. Lyon

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Editor

Neuroth, H., A. Oßwald, R. Scheffel, S. Strathmann u. K. Huth

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Content

Enthält die Beiträge: 1. The Text REtrieval Conference - Ellen M. Voorhees and Donna K. Harman 2. The TREC Test Collections - Donna K. Harman 3. Retrieval System Evaluation - Chris Buckley and Ellen M. Voorhees 4. The TREC Ad Hoc Experiments - Donna K. Harman 5. Routing and Filtering - Stephen Robertson and Jamie Callan 6. The TREC Interactive Tracks: Putting the User into Search - Susan T. Dumais and Nicholas J. Belkin 7. Beyond English - Donna K. Harman 8. Retrieving Noisy Text - Ellen M. Voorhees and John S. Garofolo 9.The Very Large Collection and Web Tracks - David Hawking and Nick Craswell 10. Question Answering in TREC - Ellen M. Voorhees 11. The University of Massachusetts and a Dozen TRECs - James Allan, W. Bruce Croft and Jamie Callan 12. How Okapi Came to TREC - Stephen Robertson 13. The SMART Project at TREC - Chris Buckley 14. Ten Years of Ad Hoc Retrieval at TREC Using PIRCS - Kui-Lam Kwok 15. MultiText Experiments for TREC - Gordon V. Cormack, Charles L. A. Clarke, Christopher R. Palmer and Thomas R. Lynam 16. A Language-Modeling Approach to TREC - Djoerd Hiemstra and Wessel Kraaij 17. BM Research Activities at TREC - Eric W. Brown, David Carmel, Martin Franz, Abraham Ittycheriah, Tapas Kanungo, Yoelle Maarek, J. Scott McCarley, Robert L. Mack, John M. Prager, John R. Smith, Aya Soffer, Jason Y. Zien and Alan D. Marwick Epilogue: Metareflections on TREC - Karen Sparck Jones

Editor

Voorhees, E.M. u. D.K. Harman

Footnote

Rez. in: JASIST 58(2007) no.6, S.910-911 (J.L. Vicedo u. J. Gomez): "The Text REtrieval Conference (TREC) is a yearly workshop hosted by the U.S. government's National Institute of Standards and Technology (NIST) that fosters and supports research in information retrieval as well as speeding the transfer of technology between research labs and industry. Since 1992, TREC has provided the infrastructure necessary for large-scale evaluations of different text retrieval methodologies. TREC impact has been very important and its success has been mainly supported by its continuous adaptation to the emerging information retrieval needs. Not in vain, TREC has built evaluation benchmarks for more than 20 different retrieval problems such as Web retrieval, speech retrieval, or question-answering. The large and intense trajectory of annual TREC conferences has resulted in an immense bulk of documents reflecting the different eval uation and research efforts developed. This situation makes it difficult sometimes to observe clearly how research in information retrieval (IR) has evolved over the course of TREC. TREC: Experiment and Evaluation in Information Retrieval succeeds in organizing and condensing all this research into a manageable volume that describes TREC history and summarizes the main lessons learned. The book is organized into three parts. The first part is devoted to the description of TREC's origin and history, the test collections, and the evaluation methodology developed. The second part describes a selection of the major evaluation exercises (tracks), and the third part contains contributions from research groups that had a large and remarkable participation in TREC. Finally, Karen Spark Jones, one of the main promoters of research in IR, closes the book with an epilogue that analyzes the impact of TREC on this research field.

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Footnote

Rez. in: Mitt. VÖB 60(2007) H.1, S.98-101 (O. Oberhauser): "Die Autorin von Essential thesaurus construction (and essential taxonomy construction, so der implizite Untertitel, vgl. S. 1) ist durch ihre Lehrtätigkeit an der bekannten School of Library, Archive and Information Studies des University College London und durch ihre bisherigen Publikationen auf den Gebieten (Facetten-)Klassifikation und Thesaurus fachlich einschlägig ausgewiesen. Nach Essential classification liegt nun ihr Thesaurus-Lehrbuch vor, mit rund 200 Seiten Text und knapp 100 Seiten Anhang ein handliches Werk, das seine Genese zum Grossteil dem Lehrbetrieb verdankt, wie auch dem kurzen Einleitungskapitel zu entnehmen ist. Das Buch ist der Schule von Jean Aitchison et al. verpflichtet und wendet sich an "the indexer" im weitesten Sinn, d.h. an alle Personen, die ein strukturiertes, kontrolliertes Fachvokabular für die Zwecke der sachlichen Erschliessung und Suche erstellen wollen bzw. müssen. Es möchte dieser Zielgruppe das nötige methodische Rüstzeug für eine solche Aufgabe vermitteln, was einschliesslich der Einleitung und der Schlussbemerkungen in zwanzig Kapiteln geschieht - eine ansprechende Strukturierung, die ein wohldosiertes Durcharbeiten möglich macht. Zu letzterem tragen auch die von der Autorin immer wieder gestellten Übungsaufgaben bei (Lösungen jeweils am Kapitelende). Zu Beginn der Darstellung wird der "information retrieval thesaurus" von dem (zumindest im angelsächsischen Raum) weit öfter mit dem Thesaurusbegriff assoziierten "reference thesaurus" abgegrenzt, einem nach begrifflicher Ähnlichkeit angeordneten Synonymenwörterbuch, das gerne als Mittel zur stilistischen Verbesserung beim Abfassen von (wissenschaftlichen) Arbeiten verwendet wird. Ohne noch ins Detail zu gehen, werden optische Erscheinungsform und Anwendungsgebiete von Thesauren vorgestellt, der Thesaurus als postkoordinierte Indexierungssprache erläutert und seine Nähe zu facettierten Klassifikationssystemen erwähnt. In der Folge stellt Broughton die systematisch organisierten Systeme (Klassifikation/ Taxonomie, Begriffs-/Themendiagramme, Ontologien) den alphabetisch angeordneten, wortbasierten (Schlagwortlisten, thesaurusartige Schlagwortsysteme und Thesauren im eigentlichen Sinn) gegenüber, was dem Leser weitere Einordnungshilfen schafft. Die Anwendungsmöglichkeiten von Thesauren als Mittel der Erschliessung (auch als Quelle für Metadatenangaben bei elektronischen bzw. Web-Dokumenten) und der Recherche (Suchformulierung, Anfrageerweiterung, Browsing und Navigieren) kommen ebenso zur Sprache wie die bei der Verwendung natürlichsprachiger Indexierungssysteme auftretenden Probleme. Mit Beispielen wird ausdrücklich auf die mehr oder weniger starke fachliche Spezialisierung der meisten dieser Vokabularien hingewiesen, wobei auch Informationsquellen über Thesauren (z.B. www.taxonomywarehouse.com) sowie Thesauren für nicht-textuelle Ressourcen kurz angerissen werden.

Theme

Grundlagen u. Einführungen: Allgemeine Literatur

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Editor

Drossou, O. u.a.

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Editor

Munzner, T. u. S. North

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Theme

Grundlagen u. Einführungen: Allgemeine Literatur

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Content

Perspectives on the Tasks in which Information Behaviors Are Embedded (Barbara M. Wildemuth and Anthony Hughes) - Phenomenography (Louise Limberg) - Practice of Everyday Life (Paulette Rothbauer) - Principle of Least Effort (Donald O. Case) - Professions and Occupational Identities (Olof Sundin and Jenny Hedman) - Radical Change (Eliza T. Dresang) - Reader Response Theory (Catherine Sheldrick Ross) - Rounding and Dissonant Grounds (Paul Solomon) - Serious Leisure (Jenna Hartel) - Small-World Network Exploration (Lennart Björneborn) - Nan Lin's Theory of Social Capital (Catherine A. Johnson) - The Social Constructionist Viewpoint on Information Practices (Kimmo Tuominen, Sanna Talja, and Reijo Savolainen) - Social Positioning (Lisa M. Given) - The Socio-Cognitive Theory of Users Situated in Specific Contexts and Domains (Birger Hjoerland) - Strength of Weak Ties (Christopher M. Dixon) - Symbolic Violence (Steven Joyce) - Taylor's Information Use Environments (Ruth A. Palmquist) - Taylor's Question-Negotiation (Phillip M. Edwards) - Transtheoretical Model of the Health Behavior Change (C. Nadine Wathen and Roma M. Harris) - Value Sensitive Design (Batya Friedman and Nathan G. Freier) - Vygotsky's Zone of Proximal Development (Lynne (E. E) McKechnie) - Web Information Behaviors of Organizational Workers (Brian Detlor) - Willingness to Return (Tammara Combs Turner and Joan C. Durrance) - Women's Ways of Knowing (Heidi Julien) - Work Task Information-Seeking and Retrieval Processes (Preben Hansen) - World Wide Web Information Seeking (Don Turnbull)

Footnote

Rez. in: Mitt. VÖB 59(2006) H.3, S.90-93 (O. Oberhauser): "What a marvellous book! [dies vorwegnehmend als Quintessenz der folgenden Rezension und auch für den englischsprachigen Verlag gedacht]. Den drei Herausgeberinnen, die an den Universitäten von Washington (Seattle, WA), Missouri (Columbia, MO) und Western Ontario (London, Kanada) lehren, ist das seltene Kunststück geglückt, einen Band zu erstellen, der nicht nur als mustergültige Einführung in die Thematik human information behaviour zu dienen vermag, sondern gleichzeitig auch als Nachschlagewerk zu den vielfältigen theoretischen Ansätzen innerhalb dieser bedeutenden Teildisziplin der Informationswissenschaft herangezogen werden kann. Wie sie selbst in der Danksagung feststellen, ist das Buch "a collaborative work of the information behavior community" (S. xvii), wobei die editorische Leistung vor allem darin lag, 85 Beitragende aus zehn Ländern zu koordinieren bzw. zur Abfassung von 72 Artikeln von jeweils ähnlicher Länge (bzw. Knappheit und Kürze), Gestaltung und Lesbarkeit zu veranlassen. Unter diesen 85 Beitragenden ist im übrigen alles versammelt, was in dieser Teildisziplin Rang und Namen hat, mit Ausnahme der leider bereits verstorbenen Soziologin Elfreda A. Chatman, einer der einflussreichsten Theoretikerinnen im Bereich des Informationsverhaltens, deren Andenken das Buch auch gewidmet ist.

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Theme

Grundlagen u. Einführungen: Allgemeine Literatur

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Editor

Lewandowski, D. u. C. Maaß