-
Thissen, F.: Screen-Design-Manual : Communicating Effectively Through Multimedia (2003)
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- Abstract
- The "Screen Design Manual" provides designers of interactive media with a practical working guide for preparing and presenting information that is suitable for both their target groups and the media they are using. It describes background information and relationships, clarifies them with the help of examples, and encourages further development of the language of digital media. In addition to the basics of the psychology of perception and learning, ergonomics, communication theory, imagery research, and aesthetics, the book also explores the design of navigation and orientation elements. Guidelines and checklists, along with the unique presentation of the book, support the application of information in practice.
- Content
- From the contents:.- Basics of screen design.- Navigation and orientation.- Information.- Screen layout.Interaction.- Motivation.- Innovative prospects.- Appendix.Glossary.- Literature.- Index
- Date
- 22. 3.2008 14:29:25
- LCSH
- User interfaces (Computer systems)
Information display systems / Formatting
- Subject
- User interfaces (Computer systems)
Information display systems / Formatting
-
Borlund, P.: Evaluation of interactive information retrieval systems (2000)
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- LCSH
- Information storage and retrieval systems / Evaluation
Interactive computer systems / Evaluation
- RSWK
- Information Retrieval / Datenbankverwaltung / Hochschulschrift (GBV)
Information Retrieval / Dialogsystem (SWB)
Information Retrieval / Dialogsystem / Leistungsbewertung (BVB)
- Subject
- Information Retrieval / Datenbankverwaltung / Hochschulschrift (GBV)
Information Retrieval / Dialogsystem (SWB)
Information Retrieval / Dialogsystem / Leistungsbewertung (BVB)
Information storage and retrieval systems / Evaluation
Interactive computer systems / Evaluation
-
Chu, H.: Information representation and retrieval in the digital age (2010)
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- Content
- Information representation and retrieval : an overview -- Information representation I : basic approaches -- Information representation II : related topics -- Language in information representation and retrieval -- Retrieval techniques and query representation -- Retrieval approaches -- Information retrieval models -- Information retrieval systems -- Retrieval of information unique in content or format -- The user dimension in information representation and retrieval -- Evaluation of information representation and retrieval -- Artificial intelligence in information representation and retrieval.
- Imprint
- Medford, NJ : Information Today
- LCSH
- Information organization
Information retrieval
Information storage and retrieval systems
- Subject
- Information organization
Information retrieval
Information storage and retrieval systems
-
Research and advanced technology for digital libraries : 7th European conference, ECDL2003 Trondheim, Norway, August 17-22, 2003. Proceedings (2003)
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- Abstract
- This book constitutes the refereed proceedings of the 7th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2003, held in Trondheim, Norway in August 2003. The 39 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 161 submissions. The papers are organized in topical sections on uses, users, and user interfaces; metadata applications; annotation and recommendation; automatic classification and indexing; Web technologies; topical crawling and subject gateways; architectures and systems; knowledge organization; collection building and management; information retrieval; digital preservation; and indexing and searching of special documents and collection information.
- 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
- RSWK
- Elektronische Bibliothek / Multimedia / Information Retrieval / Kongress / Trondheim <2003>
World Wide Web / Elektronische Bibliothek / Information Retrieval / Kongress / Trondheim <2003>
- Subject
- Elektronische Bibliothek / Multimedia / Information Retrieval / Kongress / Trondheim <2003>
World Wide Web / Elektronische Bibliothek / Information Retrieval / Kongress / Trondheim <2003>
-
Multimedia content and the Semantic Web : methods, standards, and tools (2005)
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- Classification
- 006.7 22
- Date
- 7. 3.2007 19:30:22
- DDC
- 006.7 22
- Footnote
- Rez. in: JASIST 58(2007) no.3, S.457-458 (A.M.A. Ahmad): "The concept of the semantic web has emerged because search engines and text-based searching are no longer adequate, as these approaches involve an extensive information retrieval process. The deployed searching and retrieving descriptors arc naturally subjective and their deployment is often restricted to the specific application domain for which the descriptors were configured. The new era of information technology imposes different kinds of requirements and challenges. Automatic extracted audiovisual features are required, as these features are more objective, domain-independent, and more native to audiovisual content. This book is a useful guide for researchers, experts, students, and practitioners; it is a very valuable reference and can lead them through their exploration and research in multimedia content and the semantic web. The book is well organized, and introduces the concept of the semantic web and multimedia content analysis to the reader through a logical sequence from standards and hypotheses through system examples, presenting relevant tools and methods. But in some chapters readers will need a good technical background to understand some of the details. Readers may attain sufficient knowledge here to start projects or research related to the book's theme; recent results and articles related to the active research area of integrating multimedia with semantic web technologies are included. This book includes full descriptions of approaches to specific problem domains such as content search, indexing, and retrieval. This book will be very useful to researchers in the multimedia content analysis field who wish to explore the benefits of emerging semantic web technologies in applying multimedia content approaches. The first part of the book covers the definition of the two basic terms multimedia content and semantic web. The Moving Picture Experts Group standards MPEG7 and MPEG21 are quoted extensively. In addition, the means of multimedia content description are elaborated upon and schematically drawn. This extensive description is introduced by authors who are actively involved in those standards and have been participating in the work of the International Organization for Standardization (ISO)/MPEG for many years. On the other hand, this results in bias against the ad hoc or nonstandard tools for multimedia description in favor of the standard approaches. This is a general book for multimedia content; more emphasis on the general multimedia description and extraction could be provided.
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."
- LCSH
- Multimedia systems
Information storage and retrieval systems
- RSWK
- Semantic Web / Multimedia / Automatische Indexierung / Information Retrieval
- Subject
- Semantic Web / Multimedia / Automatische Indexierung / Information Retrieval
Multimedia systems
Information storage and retrieval systems
-
¬The history and heritage of scientific and technological information systems : Proceedings of the 2002 Conference (2004)
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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.
- Imprint
- Medford, NJ : Information Today
- LCSH
- Information storage and retrieval systems / Congresses / Science / History
Information storage and retrieval systems / Congresses / Technology / History
- Subject
- Information storage and retrieval systems / Congresses / Science / History
Information storage and retrieval systems / Congresses / Technology / History
-
Research and advanced technology for digital libraries : 11th European conference, ECDL 2007 / Budapest, Hungary, September 16-21, 2007, proceedings (2007)
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- Abstract
- This book constitutes the refereed proceedings of the 11th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2007, held in Budapest, Hungary, in September 2007. The 36 revised full papers presented together with the extended abstracts of 36 revised poster, demo papers and 2 panel descriptions were carefully reviewed and selected from a total of 153 submissions. The papers are organized in topical sections on ontologies, digital libraries and the web, models, multimedia and multilingual DLs, grid and peer-to-peer, preservation, user interfaces, document linking, information retrieval, personal information management, new DL applications, and user studies.
- Content
- Inhalt u.a.: Ontologies - Ontology-Based Question Answering for Digital Libraries / Stephan Bloehdorn, Philipp Cimiano, Alistair Duke, Peter Haase, Jörg Heizmann, Ian Thurlow and Johanna Völker Digital libraries and the Web Models Multimedia and multilingual DLs - Roadmap for MultiLingual Information Access in the European Library / Maristella Agosti, Martin Braschler, Nicola Ferro, Carol Peters and Sjoerd Siebinga Grid and peer-to-peer Preservation User interfaces Document linking Information retrieval - Thesaurus-Based Feedback to Support Mixed Search and Browsing Environments / Edgar Meij and Maarten de Rijke - Extending Semantic Matching Towards Digital Library Contexts / László Kovács and András Micsik Personal information management New DL applications User studies
- LCSH
- Information storage and retrieval systems
Information systems
Multimedia systems
Information Storage and Retrieval
Information Systems Applications (incl.Internet
Multimedia Information Systems
- RSWK
- Elektronische Bibliothek / Multimedia / Information Retrieval / Kongress / Budapest <2007> / Online-Publikation
World Wide Web / Elektronische Bibliothek / Information Retrieval / Kongress / Budapest <2007> / Online-Publikation
- Subject
- Elektronische Bibliothek / Multimedia / Information Retrieval / Kongress / Budapest <2007> / Online-Publikation
World Wide Web / Elektronische Bibliothek / Information Retrieval / Kongress / Budapest <2007> / Online-Publikation
Information storage and retrieval systems
Information systems
Multimedia systems
Information Storage and Retrieval
Information Systems Applications (incl.Internet
Multimedia Information Systems
-
White, R.W.; Roth, R.A.: Exploratory search : beyond the query-response paradigm (2009)
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- Abstract
- As information becomes more ubiquitous and the demands that searchers have on search systems grow, there is a need to support search behaviors beyond simple lookup. Information seeking is the process or activity of attempting to obtain information in both human and technological contexts. Exploratory search describes an information-seeking problem context that is open-ended, persistent, and multifaceted, and information-seeking processes that are opportunistic, iterative, and multitactical. Exploratory searchers aim to solve complex problems and develop enhanced mental capacities. Exploratory search systems support this through symbiotic human-machine relationships that provide guidance in exploring unfamiliar information landscapes. Exploratory search has gained prominence in recent years. There is an increased interest from the information retrieval, information science, and human-computer interaction communities in moving beyond the traditional turn-taking interaction model supported by major Web search engines, and toward support for human intelligence amplification and information use. In this lecture, we introduce exploratory search, relate it to relevant extant research, outline the features of exploratory search systems, discuss the evaluation of these systems, and suggest some future directions for supporting exploratory search. Exploratory search is a new frontier in the search domain and is becoming increasingly important in shaping our future world.
- Content
- Table of Contents: Introduction / Defining Exploratory Search / Related Work / Features of Exploratory Search Systems / Evaluation of Exploratory Search Systems / Future Directions and concluding Remarks
- Series
- Synthesis lectures on information concepts, retrieval & services; 3
-
IEEE symposium on information visualization 2003 : Seattle, Washington, October 19 - 21, 2003 ; InfoVis 2003. Proceedings (2003)
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- LCSH
- Information display systems / Congresses
- Subject
- Information display systems / Congresses
-
Information visualization in data mining and knowledge discovery (2002)
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- Date
- 23. 3.2008 19:10:22
- 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.
With contributors almost exclusively from the computer science field, the intended audience of this work is heavily slanted towards a computer science perspective. However, it is highly readable and provides introductory material that would be useful to information scientists from a variety of domains. Yet, much interesting work in information visualization from other fields could have been included giving the work more of an interdisciplinary perspective to complement their goals of integrating work in this area. Unfortunately, many of the application chapters are these, shallow, and lack complementary illustrations of visualization techniques or user interfaces used. However, they do provide insight into the many applications being developed in this rapidly expanding field. The authors have successfully put together a highly useful reference text for the data mining and information visualization communities. Those interested in a good introduction and overview of complementary research areas in these fields will be satisfied with this collection of papers. The focus upon integrating data visualization with data mining complements texts in each of these fields, such as Advances in Knowledge Discovery and Data Mining (Fayyad et al., MIT Press) and Readings in Information Visualization: Using Vision to Think (Card et. al., Morgan Kauffman). This unique work is a good starting point for future interaction between researchers in the fields of data visualization and data mining and makes a good accompaniment for a course focused an integrating these areas or to the main reference texts in these fields."
- LCSH
- Information visualization
Knowledge acquisition (Expert systems)
- RSWK
- Information Retrieval (BVB)
- Series
- Morgan Kaufmann series in data management systems
- Subject
- Information Retrieval (BVB)
Information visualization
Knowledge acquisition (Expert systems)
-
Gaus, W.: Dokumentations- und Ordnungslehre : Theorie und Praxis des Information Retrieval (2005)
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- Abstract
- Dokumentation und Information Retrieval, also das gezielte Wiederauffinden von Informationen zu thematisch-inhaltlichen Fragestellungen sind wichtiger als je zuvor. Die hier vorliegende theoretisch fundierte und praxisorientierte Darstellung der Literatur-, Daten- und Faktendokumentation enthält viele instruktive Beispiele und praktische Übungen sowie einen umfassenden Beispielthesaurus und behandelt ausführlich Ordnungs- und Retrievalsysteme. Jedes Thema wird mit zahlreichen Prüfungsfragen abgeschlossen. Die detaillierten Antworten zu den insgesamt 195 Fragen umfassen alleine etwa 60 Seiten, Dieses Lehrbuch ist in seiner systematischen Darstellung und didaktischen Aufbereitung einzigartig. Durch sein ausführliches Sachwortregister eignet es sich auch als Nachschlagewerk. Die fünfte Auflage ist aktualisiert und erweitert worden.
- Content
- Aus dem Inhalt: - Zweck und Grundzüge der Dokumentation - Begriff und Wesen der Information - Dateien und Informationsspeicher - Referate - Ordnungsprinzip Klassifikation - Hierarchische Begriffsstrukturen - Alphabetisches Sortieren und systematisches Anordnen - Die Klassifikationen ICD-10 und ICPM - Ordnungsprinzip Register - Beispiel einer Dokumentation mit Registern - Ordnungsprinzip Fassettenklassifikation - Ordnungsprinzip Begriffskombination - Struktur eines Ordnungssystems - Beispielthesaurus Gebäude - Ordnungssystem Medical Subject Headings (MeSH) - Verbindungs-, Funktions-, Zeit- und Sprachdeskriptoren - Dokumenten-Deskriptoren-Matrix - Relevanz- und Vollzähligkeitsrate - Recherchieren und Suchstrategien - Dokumentations- und Retrievalsysteme - Aktive Informationsdienste - Revision eines Ordnungssystems.
- LCSH
- Information Storage and Retrieval
Information Systems Applications (incl.Internet)
Information Systems and Communication Service / Models and Principles
- RSWK
- Information Retrieval / Lehrbuch
- Subject
- Information Retrieval / Lehrbuch
Information Storage and Retrieval
Information Systems Applications (incl.Internet)
Information Systems and Communication Service / Models and Principles
-
Grossman, D.A.; Frieder, O.: Information retrieval : algorithms and heuristics (2004)
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- Abstract
- Interested in how an efficient search engine works? Want to know what algorithms are used to rank resulting documents in response to user requests? The authors answer these and other key information on retrieval design and implementation questions is provided. This book is not yet another high level text. Instead, algorithms are thoroughly described, making this book ideally suited for both computer science students and practitioners who work on search-related applications. As stated in the foreword, this book provides a current, broad, and detailed overview of the field and is the only one that does so. Examples are used throughout to illustrate the algorithms. The authors explain how a query is ranked against a document collection using either a single or a combination of retrieval strategies, and how an assortment of utilities are integrated into the query processing scheme to improve these rankings. Methods for building and compressing text indexes, querying and retrieving documents in multiple languages, and using parallel or distributed processing to expedite the search are likewise described. This edition is a major expansion of the one published in 1998. Neuaufl. 2005: Besides updating the entire book with current techniques, it includes new sections on language models, cross-language information retrieval, peer-to-peer processing, XML search, mediators, and duplicate document detection.
- LCSH
- Information storage and retrieval systems
- RSWK
- Algorithmus / Heuristik / Information Retrieval
Information Retrieval / Theoretische Informatik (HBZ)
Information Retrieval (BVB)
- Series
- Kluwer international series on information retrieval ; 15
- Subject
- Algorithmus / Heuristik / Information Retrieval
Information Retrieval / Theoretische Informatik (HBZ)
Information Retrieval (BVB)
Information storage and retrieval systems
-
Hermans, J.: Ontologiebasiertes Information Retrieval für das Wissensmanagement (2008)
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- Abstract
- Unternehmen sehen sich heutzutage regelmäßig der Herausforderung gegenübergestellt, aus umfangreichen Mengen an Dokumenten schnell relevante Informationen zu identifizieren. Dabei zeigt sich jedoch, dass Suchverfahren, die lediglich syntaktische Abgleiche von Informationsbedarfen mit potenziell relevanten Dokumenten durchführen, häufig nicht die an sie gestellten Erwartungen erfüllen. Viel versprechendes Potenzial bietet hier der Einsatz von Ontologien für das Information Retrieval. Beim ontologiebasierten Information Retrieval werden Ontologien eingesetzt, um Wissen in einer Form abzubilden, die durch Informationssysteme verarbeitet werden kann. Eine Berücksichtigung des so explizierten Wissens durch Suchalgorithmen führt dann zu einer optimierten Deckung von Informationsbedarfen. Jan Hermans stellt in seinem Buch ein adaptives Referenzmodell für die Entwicklung von ontologiebasierten Information Retrieval-Systemen vor. Zentrales Element seines Modells ist die einsatzkontextspezifische Adaption des Retrievalprozesses durch bewährte Techniken, die ausgewählte Aspekte des ontologiebasierten Information Retrievals bereits effektiv und effizient unterstützen. Die Anwendung des Referenzmodells wird anhand eines Fallbeispiels illustriert, bei dem ein Information Retrieval-System für die Suche nach Open Source-Komponenten entwickelt wird. Das Buch richtet sich gleichermaßen an Dozenten und Studierende der Wirtschaftsinformatik, Informatik und Betriebswirtschaftslehre sowie an Praktiker, die die Informationssuche im Unternehmen verbessern möchten. Jan Hermans, Jahrgang 1978, studierte Wirtschaftsinformatik an der Westfälischen Wilhelms-Universität in Münster. Seit 2003 war er als Wissenschaftlicher Mitarbeiter am European Research Center for Information Systems der WWU Münster tätig. Seine Forschungsschwerpunkte lagen in den Bereichen Wissensmanagement und Information Retrieval. Im Mai 2008 erfolgte seine Promotion zum Doktor der Wirtschaftswissenschaften.
- RSWK
- Information Retrieval / Ontologie <Wissensverarbeitung> / Wissensmanagement
- Series
- Advances in information systems and management science; 39
- Subject
- Information Retrieval / Ontologie <Wissensverarbeitung> / Wissensmanagement
-
Tunkelang, D.: Faceted search (2009)
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- Abstract
- We live in an information age that requires us, more than ever, to represent, access, and use information. Over the last several decades, we have developed a modern science and technology for information retrieval, relentlessly pursuing the vision of a "memex" that Vannevar Bush proposed in his seminal article, "As We May Think." Faceted search plays a key role in this program. Faceted search addresses weaknesses of conventional search approaches and has emerged as a foundation for interactive information retrieval. User studies demonstrate that faceted search provides more effective information-seeking support to users than best-first search. Indeed, faceted search has become increasingly prevalent in online information access systems, particularly for e-commerce and site search. In this lecture, we explore the history, theory, and practice of faceted search. Although we cannot hope to be exhaustive, our aim is to provide sufficient depth and breadth to offer a useful resource to both researchers and practitioners. Because faceted search is an area of interest to computer scientists, information scientists, interface designers, and usability researchers, we do not assume that the reader is a specialist in any of these fields. Rather, we offer a self-contained treatment of the topic, with an extensive bibliography for those who would like to pursue particular aspects in more depth.
- Content
- Table of Contents: I. Key Concepts / Introduction: What Are Facets? / Information Retrieval / Faceted Information Retrieval / II. Research and Practice / Academic Research / Commercial Applications / III. Practical Concerns / Back-End Concerns / Front-End Concerns / Conclusion / Glossary
- RSWK
- Information Retrieval
- Series
- Synthesis lectures on information concepts, retrieval & services; 5
- Subject
- Information Retrieval
-
Bleuel, J.: Online Publizieren im Internet : elektronische Zeitschriften und Bücher (1995)
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- BK
- 06.99 / Information und Dokumentation: Sonstiges
- Classification
- 06.99 / Information und Dokumentation: Sonstiges
- Date
- 22. 3.2008 16:15:37
-
Research and advanced technology for digital libraries : 10th European conference ; proceedings / ECDL 2006, Alicante, Spain, September 17 - 22, 2006 ; proceedings (2006)
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- Content
- Inhalt u.a.: Architectures I Preservation Retrieval - The Use of Summaries in XML Retrieval / Zoltdn Szldvik, Anastasios Tombros, Mounia Laimas - An Enhanced Search Interface for Information Discovery from Digital Libraries / Georgia Koutrika, Alkis Simitsis - The TIP/Greenstone Bridge: A Service for Mobile Location-Based Access to Digital Libraries / Annika Hinze, Xin Gao, David Bainbridge Architectures II Applications Methodology Metadata Evaluation User Studies Modeling Audiovisual Content Language Technologies - Incorporating Cross-Document Relationships Between Sentences for Single Document Summarizations / Xiaojun Wan, Jianwu Yang, Jianguo Xiao - Semantic Web Techniques for Multiple Views on Heterogeneous Collections: A Case Study / Marjolein van Gendt, Antoine Isaac, Lourens van der Meij, Stefan Schlobach Posters - A Tool for Converting from MARC to FRBR / Trond Aalberg, Frank Berg Haugen, Ole Husby
- RSWK
- Elektronische Bibliothek / Multimedia / Information Retrieval / Kongress / Alicante <2006>
World Wide Web / Elektronische Bibliothek / Information Retrieval / Kongress / Alicante <2006>
- Subject
- Elektronische Bibliothek / Multimedia / Information Retrieval / Kongress / Alicante <2006>
World Wide Web / Elektronische Bibliothek / Information Retrieval / Kongress / Alicante <2006>
-
Spinning the Semantic Web : bringing the World Wide Web to its full potential (2003)
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- Abstract
- As the World Wide Web continues to expand, it becomes increasingly difficult for users to obtain information efficiently. Because most search engines read format languages such as HTML or SGML, search results reflect formatting tags more than actual page content, which is expressed in natural language. Spinning the Semantic Web describes an exciting new type of hierarchy and standardization that will replace the current "Web of links" with a "Web of meaning." Using a flexible set of languages and tools, the Semantic Web will make all available information - display elements, metadata, services, images, and especially content - accessible. The result will be an immense repository of information accessible for a wide range of new applications. This first handbook for the Semantic Web covers, among other topics, software agents that can negotiate and collect information, markup languages that can tag many more types of information in a document, and knowledge systems that enable machines to read Web pages and determine their reliability. The truly interdisciplinary Semantic Web combines aspects of artificial intelligence, markup languages, natural language processing, information retrieval, knowledge representation, intelligent agents, and databases.
- Content
- Inhalt: Tim Bemers-Lee: The Original Dream - Re-enter Machines - Where Are We Now? - The World Wide Web Consortium - Where Is the Web Going Next? / Dieter Fensel, James Hendler, Henry Lieberman, and Wolfgang Wahlster: Why Is There a Need for the Semantic Web and What Will It Provide? - How the Semantic Web Will Be Possible / Jeff Heflin, James Hendler, and Sean Luke: SHOE: A Blueprint for the Semantic Web / Deborah L. McGuinness, Richard Fikes, Lynn Andrea Stein, and James Hendler: DAML-ONT: An Ontology Language for the Semantic Web / Michel Klein, Jeen Broekstra, Dieter Fensel, Frank van Harmelen, and Ian Horrocks: Ontologies and Schema Languages on the Web / Borys Omelayenko, Monica Crubezy, Dieter Fensel, Richard Benjamins, Bob Wielinga, Enrico Motta, Mark Musen, and Ying Ding: UPML: The Language and Tool Support for Making the Semantic Web Alive / Deborah L. McGuinness: Ontologies Come of Age / Jeen Broekstra, Arjohn Kampman, and Frank van Harmelen: Sesame: An Architecture for Storing and Querying RDF Data and Schema Information / Rob Jasper and Mike Uschold: Enabling Task-Centered Knowledge Support through Semantic Markup / Yolanda Gil: Knowledge Mobility: Semantics for the Web as a White Knight for Knowledge-Based Systems / Sanjeev Thacker, Amit Sheth, and Shuchi Patel: Complex Relationships for the Semantic Web / Alexander Maedche, Steffen Staab, Nenad Stojanovic, Rudi Studer, and York Sure: SEmantic portAL: The SEAL Approach / Ora Lassila and Mark Adler: Semantic Gadgets: Ubiquitous Computing Meets the Semantic Web / Christopher Frye, Mike Plusch, and Henry Lieberman: Static and Dynamic Semantics of the Web / Masahiro Hori: Semantic Annotation for Web Content Adaptation / Austin Tate, Jeff Dalton, John Levine, and Alex Nixon: Task-Achieving Agents on the World Wide Web
-
Chu, H.: Information representation and retrieval in the digital age (2010)
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- Content
- Information representation and retrieval : an overview -- Information representation I : basic approaches -- Information representation II : related topics -- Language in information representation and retrieval -- Retrieval techniques and query representation -- Retrieval approaches -- Information retrieval models -- Information retrieval systems -- Retrieval of information unique in content or format -- The user dimension in information representation and retrieval -- Evaluation of information representation and retrieval -- Artificial intelligence in information representation and retrieval.
- Footnote
- Rez. in: JASIST 56(2005) no.2, S.215-216 (A. Heath): "What is small, thoroughly organized, and easy to understand? Well, it's Heting Chu's latest book an information retrieval. A very welcome release, this small literary addition to the field (only 248 pages) contains a concise and weIl-organized discussion of every major topic in information retrieval. The often-complex field of information retrieval is presented from its origin in the early 1950s to the present day. The organization of this text is top-notch, thus making this an easy read for even the novice. Unlike other titles in this area, Chu's user-friendly style of writing is done an purpose to properly introduce newcomers to the field in a less intimidating way. As stated by the author in the Preface, the purpose of the book is to "present a systematic, thorough yet nontechnical view of the field by using plain language to explain complex subjects." Chu has definitely struck up the right combination of ingredients. In a field so broad and complex, a well-organized presentation of topics that don't trip an themselves is essential. The use of plain language where possible is also a good choice for this topic because it allows one to absorb topics that are, by nature, not as easy to grasp. For instance, Chapters 6 and 7, which cover retrieval approaches and techniques, an often painstaking topic for many students and teachers is deftly handled with the use of tables that can be used to compare and contrast the various models discussed. I particularly loved Chu's use of Koll's 2000 article from the Bulletin of the American Society for Information Science to explain subject searching at the beginning of Chapter 6, which discusses the differences between browsing and searching. The Koll article uses the task of finding a needle in a haystack as an analogy.
Chu's intent with this book is clear throughout the entire text. With this presentation, she writes with the novice in mind or as she puls it in the Preface, "to anyone who is interested in learning about the field, particularly those who are new to it." After reading the text, I found that this book is also an appropriate reference book for those who are somewhat advanced in the field. I found the chapters an information retrieval models and techniques, metadata, and AI very informative in that they contain information that is often rather densely presented in other texts. Although, I must say, the metadata section in Chapter 3 is pretty basic and contains more questions about the area than information. . . . It is an excellent book to have in the classroom, an your bookshelf, etc. It reads very well and is written with the reader in mind. If you are in need of a more advanced or technical text an the subject, this is not the book for you. But, if you are looking for a comprehensive, manual that can be used as a "flip-through," then you are in luck."
Weitere Rez. in: Rez. in: nfd 55(2004) H.4, S.252 (D. Lewandowski):"Die Zahl der Bücher zum Thema Information Retrieval ist nicht gering, auch in deutscher Sprache liegen einige Titel vor. Trotzdem soll ein neues (englischsprachiges) Buch zu diesem Thema hier besprochen werden. Dieses zeichnet sich durch eine Kürze (nur etwa 230 Seiten Text) und seine gute Verständlichkeit aus und richtet sich damit bevorzugt an Studenten in den ersten Semestern. Heting Chu unterrichtet seit 1994 an Palmer School of Library and Information Science der Long Island University New York. Dass die Autorin viel Erfahrung in der Vermittlung des Stoffs in ihren Information-Retrieval-Veranstaltungen sammeln konnte, merkt man dem Buch deutlich an. Es ist einer klaren und verständlichen Sprache geschrieben und führt in die Grundlagen der Wissensrepräsentation und des Information Retrieval ein. Das Lehrbuch behandelt diese Themen als Gesamtkomplex und geht damit über den Themenbereich ähnlicher Bücher hinaus, die sich in der Regel auf das Retrieval beschränken. Das Buch ist in zwölf Kapitel gegliedert, wobei das erste Kapitel eine Übersicht über die zu behandelnden Themen gibt und den Leser auf einfache Weise in die Grundbegriffe und die Geschichte des IRR einführt. Neben einer kurzen chronologischen Darstellung der Entwicklung der IRR-Systeme werden auch vier Pioniere des Gebiets gewürdigt: Mortimer Taube, Hans Peter Luhn, Calvin N. Mooers und Gerard Salton. Dies verleiht dem von Studenten doch manchmal als trocken empfundenen Stoff eine menschliche Dimension. Das zweite und dritte Kapitel widmen sich der Wissensrepräsentation, wobei zuerst die grundlegenden Ansätze wie Indexierung, Klassifikation und Abstracting besprochen werden. Darauf folgt die Behandlung von Wissensrepräsentation mittels Metadaten, wobei v.a. neuere Ansätze wie Dublin Core und RDF behandelt werden. Weitere Unterkapitel widmen sich der Repräsentation von Volltexten und von Multimedia-Informationen. Die Stellung der Sprache im IRR wird in einem eigenen Kapitel behandelt. Dabei werden in knapper Form verschiedene Formen des kontrollierten Vokabulars und die wesentlichen Unterscheidungsmerkmale zur natürlichen Sprache erläutert. Die Eignung der beiden Repräsentationsmöglichkeiten für unterschiedliche IRR-Zwecke wird unter verschiedenen Aspekten diskutiert.
Die Kapitel fünf bis neun widmen sich dann ausführlich dem Information Retrieval. Zuerst werden grundlegende Retrievaltechniken vorgestellt und ihre Vor- und Nachteile dargestellt. Aus der Sicht des Nutzers von IR-Systemen wird der Prozess des Bildens einer Suchanfrage diskutiert und die damit verbundenen Probleme aufgezeigt. Im sechsten Kapitel werden die Retrieval-Ansätze Suchen und Browsen gegenübergestellt, entsprechende Suchstrategien aufgezeigt und schließlich Ansätze diskutiert, die suchen und browsen zu integrieren versuchen. Das siebte Kapitel beschäftigt sich dann mit dem, was den Kern der meisten IRBücher ausmacht: den IR-Modellen. Diese werden kurz vorgestellt, auf Formeln wird weitgehend verzichtet. Dies ist jedoch durchaus als Vorteil zu sehen, denn gerade Studienanfängern bereitet das Verständnis der IR-Modelle aufgrund deren Komplexität oft Schwierigkeiten. Nach der Lektüre dieses Kapitels wird man zwar nicht im Detail über die verschiedenen Modelle Bescheid wissen, wird sie jedoch kennen und einordnen können.
Leider gibt es in deutscher Sprache keinen vergleichbaren Titel. Das Information-Retrieval-Buch von Ferber (2003) ist eher mathematisch orientiert und dürfte Studienanfänger der Informationswissenschaft durch seine große Detailliertheit und der damit einhergehenden großen Anzahl von Formeln eher abschrecken. Es ist eher denjenigen empfohlen, die sich intensiver mit dem Thema beschäftigen möchten. Ähnlich verhält es sich mit dem von manchen gerne genutzten Skript von Fuhr. Das Buch von Gaus (2003) ist mittlerweile schon ein Klassiker, beschäftigt sich aber im wesentlichen mit der Wissensrepräsentation und bietet zudem wenig Aktuelles. So fehlen etwa die Themen Information Retrieval im Internet und Multimedia-Retrieval komplett. Auch die Materialsammlung von Poetzsch (2002) konzentriert sich auf IR in klassischen Datenbanken und strebt zudem auch keine systematische Darstellung des Gebiets an. Zu wünschen wäre also, dass das hier besprochene Buch auch hierzulande in der Lehre Verwendung finden würde, da es den Studierenden einen knappen, gut lesbaren Einblick in das Themengebiet gibt. Es sollte aufgrund der vorbildlichen Aufbereitung des Stoffs auch Vorbild für zukünftige Autoren von Lehrbüchern sein. Und letztlich würde sich der Rezensent eine deutsche Übersetzung dieses Bandes wünschen."
- Imprint
- Medford, NJ : Information Today
- LCSH
- Information organization
Information retrieval
Information storage and retrieval systems
- Subject
- Information organization
Information retrieval
Information storage and retrieval systems
-
TREC: experiment and evaluation in information retrieval (2005)
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- Abstract
- The Text REtrieval Conference (TREC), a yearly workshop hosted by the US government's National Institute of Standards and Technology, provides the infrastructure necessary for large-scale evaluation of text retrieval methodologies. With the goal of accelerating research in this area, TREC created the first large test collections of full-text documents and standardized retrieval evaluation. The impact has been significant; since TREC's beginning in 1992, retrieval effectiveness has approximately doubled. TREC has built a variety of large test collections, including collections for such specialized retrieval tasks as cross-language retrieval and retrieval of speech. Moreover, TREC has accelerated the transfer of research ideas into commercial systems, as demonstrated in the number of retrieval techniques developed in TREC that are now used in Web search engines. This book provides a comprehensive review of TREC research, summarizing the variety of TREC results, documenting the best practices in experimental information retrieval, and suggesting areas for further research. The first part of the book describes TREC's history, test collections, and retrieval methodology. Next, the book provides "track" reports -- describing the evaluations of specific tasks, including routing and filtering, interactive retrieval, and retrieving noisy text. The final part of the book offers perspectives on TREC from such participants as Microsoft Research, University of Massachusetts, Cornell University, University of Waterloo, City University of New York, and IBM. The book will be of interest to researchers in information retrieval and related technologies, including natural language processing.
- 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.
... TREC: Experiment and Evaluation in Information Retrieval is a reliable and comprehensive review of the TREC program and has been adopted by NIST as the official history of TREC (see http://trec.nist.gov). We were favorably surprised by the book. Well structured and written, chapters are self-contained and the existence of references to specialized and more detailed publications is continuous, which makes it easier to expand into the different aspects analyzed in the text. This book succeeds in compiling TREC evolution from its inception in 1992 to 2003 in an adequate and manageable volume. Thanks to the impressive effort performed by the authors and their experience in the field, it can satiate the interests of a great variety of readers. While expert researchers in the IR field and IR-related industrial companies can use it as a reference manual, it seems especially useful for students and non-expert readers willing to approach this research area. Like NIST, we would recommend this reading to anyone who may be interested in textual information retrieval."
- LCSH
- Information storage and retrieval systems / Congresses
- RSWK
- Information Retrieval / Textverarbeitung / Aufsatzsammlung (BVB)
Kongress / Information Retrieval / Kongress (GBV)
- Subject
- Information Retrieval / Textverarbeitung / Aufsatzsammlung (BVB)
Kongress / Information Retrieval / Kongress (GBV)
Information storage and retrieval systems / Congresses
-
Context: nature, impact, and role : 5th International Conference on Conceptions of Library and Information Science, CoLIS 2005, Glasgow 2005; Proceedings (2005)
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- Content
- Das Buch ist in die Abschnitte Invited Papers (1 Beitrag, 1 Abstract), Representing Context (3 Beiträge), Context and Relevance in Information Seeking (3), Context and Information (3), Contextualised Information Seeking (3), Agendas for Context (3), Context and Documents (2) und Workshops (2 Ankündigungstexte) gegliedert und enthält ein simples Autoren-, jedoch kein Sachregister. Die Autoren der Beiträge stammen mit einigen Ausnahmen (Italien, Frankreich, Russland) aus den angelsächsischen und skandinavischen Ländern.
- 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.
Mehrere Beiträge befassen sich mit dem Problem der Relevanz. Erica Cosijn und Theo Bothma (Pretoria) argumentieren, dass für das Benutzerverhalten neben der thematischen Relevanz auch verschiedene andere Relevanzdimensionen eine Rolle spielen und schlagen auf der Basis eines (abermals auf Ingwersen zurückgehenden) erweiterten Relevanzmodells vor, dass IR-Systeme die Möglichkeit zur Abgabe auch kognitiver, situativer und sozio-kognitiver Relevanzurteile bieten sollten. Elaine Toms et al. (Kanada) berichten von einer Studie, in der versucht wurde, die schon vor 30 Jahren von Tefko Saracevic3 erstellten fünf Relevanzdimensionen (kognitiv, motivational, situativ, thematisch und algorithmisch) zu operationalisieren und anhand von Recherchen mit einer Web-Suchmaschine zu untersuchen. Die Ergebnisse zeigten, dass sich diese fünf Dimensionen in drei Typen vereinen lassen, die Benutzer, System und Aufgabe repräsentieren. Von einer völlig anderen Seite nähern sich Olof Sundin und Jenny Johannison (Boras, Schweden) der Relevanzthematik, indem sie einen kommunikationsorientierten, neo-pragmatistischen Ansatz (nach Richard Rorty) wählen, um Informationssuche und Relevanz zu analysieren, und dabei auch auf das Werk von Michel Foucault zurückgreifen. Weitere interessante Artikel befassen sich mit Bradford's Law of Scattering (Hjørland & Nicolaisen), Information Sharing and Timing (Widén-Wulff & Davenport), Annotations as Context for Searching Documents (Agosti & Ferro), sowie dem Nutzen von neuen Informationsquellen wie Web Links, Newsgroups und Blogs für die sozial- und informationswissenschaftliche Forschung (Thelwall & Wouters). In Summe liegt hier ein interessantes und anspruchsvolles Buch vor - inhaltlich natürlich nicht gerade einheitlich und geschlossen, doch dies darf man bei einem Konferenzband ohnedies nicht erwarten. Manche der abgedruckten Beiträge sind sicher nicht einfach zu lesen, lohnen aber die Mühe. Auch für Praktiker aus Bibliothek und Information ist einiges dabei, sofern sie sich für die wissenschaftliche Basis ihrer Tätigkeit interessieren. Fachlich einschlägige Spezial- und grössere Allgemeinbibliotheken sollten das Werk daher unbedingt führen.
- RSWK
- Information Retrieval / Kontextbezogenes System / Kongress / Glasgow <2005>
Information-Retrieval-System / Kontextbezogenes System / Kongress / Glasgow <2005>
Elektronische Bibliothek / Information Retrieval / Relevanz-Feedback / Kontextbezogenes System / Kongress / Glasgow <2005>
- Subject
- Information Retrieval / Kontextbezogenes System / Kongress / Glasgow <2005>
Information-Retrieval-System / Kontextbezogenes System / Kongress / Glasgow <2005>
Elektronische Bibliothek / Information Retrieval / Relevanz-Feedback / Kontextbezogenes System / Kongress / Glasgow <2005>
