Search (38 results, page 1 of 2)

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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.

Classification

SS 4800 Informatik / Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen / Schriftenreihen (indiv. Sign.) / Lecture notes in computer science

RVK

SS 4800 Informatik / Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen / Schriftenreihen (indiv. Sign.) / Lecture notes in computer science

Series

Lecture notes in computer science; vol.2769

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Abstract

This book constitutes the refereed proceedings of the 10th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2006, held in Alicante, Spain in September 2006. The 36 revised full papers presented together with the extended abstracts of 18 demo papers and 15 revised poster papers were carefully reviewed and selected from a total of 159 submissions. The papers are organized in topical sections on architectures, preservation, retrieval, applications, methodology, metadata, evaluation, user studies, modeling, audiovisual content, and language technologies.

Classification

SS 4800 Informatik / Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen / Schriftenreihen (indiv. Sign.) / Lecture notes in computer science

RVK

SS 4800 Informatik / Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen / Schriftenreihen (indiv. Sign.) / Lecture notes in computer science

Series

Lecture notes in computer science ; vol. 4172

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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."

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Abstract

Today's publishing infrastructure is rapidly changing. As electronic journals, digital libraries, collaboratories, logic servers, and other knowledge infrastructures emerge an the internet, the key aspects of this transformation need to be identified. Knowledge is becoming increasingly dynamic and integrated. Instead of writing self-contained articles, authors are turning to the new practice of embedding their findings into dynamic networks of knowledge. Here, the author details the implications that this transformation is having an the creation, dissemination and organization of academic knowledge. The author Shows that many established publishing principles need to be given up in order to facilitate this transformation. The text provides valuable insights for knowledge managers, designers of internet-based knowledge infrastructures, and professionals in the publishing industry. Researchers will find the scenarios and implications for research processes stimulating and thought-provoking.

LCSH

Science publishing / Technological innovations
Science / Periodicals
Communication in science / Technological innovations
Science / Methodology
Science / Philosophy

Subject

Science publishing / Technological innovations
Science / Periodicals
Communication in science / Technological innovations
Science / Methodology
Science / Philosophy

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Content

Inhalt: An Introduction to Metatheories, Theories, and Models (Marcia J. Bates) - What Methodology Does to Theory: Sense-Making Methodology as Exemplar (Brenda Dervin) Evolution in Information Behavior Modeling Wilson's Model (T.D. Wilson) - Affective Load (Diane Nahl) - Anomalous State of Knowledge (Nicholas J. Belkin) - Archival Intelligence (Elizabeth Yakel) - Bandura's Social Cognition (Makiko Miwa) - Berrypicking (Marcia J. Bates) - Big6 Skills for Information Literacy (Carrie A. Lowe and Michael B. Eisenberg) - Chang's Browsing (Chan-Ju L. Chang) - Chatman's Information Poverty (Julie Hersberger) - Chatman's Life in the Round (Crystal Fulton) - Cognitive Authority (Soo Young Rieh) - Cognitive Work Analysis (Raya Fidel and Annelise Mark Pejtersen) - Collective Action Dilemma (Marc Smith and Howard T. Weiser) - Communicative Action (Gerald Benoît) - Communities of Practice (Elisabeth Davies) - Cultural Models of Hall and Hofstede (Anita Komlodi) - Dervin's Sense-Making (Tonyia J. Tidline) - Diffusion Theory (Darian Lajoie-Paquette) - The Domain Analytic Approach to Scholars' Information Practices (Sanna Talja) - Ecological Theory of Human Information Behavior (Kirsty Williamson) - Elicitation as Micro-Level Information Seeking (Mei-Mei Wu) - Ellis's Model of InformationSeeking Behavior (David Ellis) - Everyday Life Information Seeking (Reijo Savolainen) - Face Threat (Lorri Mon) - Flow Theory (Charles Naumer) - General Model of the Information Seeking of Professionals (Gloria J. Leckie) - The Imposed Query (Melissa Gross) - Information Acquiringand-Sharing (Kevin Rioux) - Information Activities in Work Tasks (Katriina Byström) - Information Encountering (Sanda Erdelez) - Information Grounds (Karen E. Fisher) - Information Horizons (Diane H. Sonnenwald) - Information Intents (Ross J. Todd) - Information Interchange (Rita Marcella and Graeme Baxter) - Institutional Ethnography (Roz Stooke) - Integrative Framework for Information Seeking and Interactive Information Retrieval (Peter Ingwersen) - Interpretative Repertoires (Pamela J. McKenzie) - Krikelas's Model of Information Seeking (Jean Henefer and Crystal Fulton) - Kuhlthau's Information Search Process (Carol Collier Kuhlthau) - Library Anxiety (Patricia Katopol) - Monitoring and Blunting (Lynda M. Baker) - Motivational Factors for Interface Design (Carolyn Watters and Jack Duffy) - Network Gatekeeping (Karine Barzilai-Nahon) - Nonlinear Information Seeking (Allen Foster) - Optimal Foraging (JoAnn Jacoby) - Organizational Sense Making and Information Use (Anu Maclntosh-Murray) - The PAIN Hypothesis (Harry Bruce) -
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

Weitere Rez. in: JASIST 58(2007) no.2, S.303 (D.E. Agosto): "Due to the brevity of the entries, they serve more as introductions to a wide array of theories than as deep explorations of a select few. The individual entries are not as deep as those in more traditional reference volumes, such as The Encyclopedia of Library and Information Science (Drake, 2003) or The Annual Review of Information Science and Technology (ARIST) (Cronin, 2005), but the overall coverage is much broader. This volume is probably most useful to doctoral students who are looking for theoretical frameworks for nascent research projects or to more veteran researchers interested in an introductory overview of information behavior research, as those already familiar with this subfield also will probably already be familiar with most of the theories presented here. Since different authors have penned each of the various entries, the writing styles vary somewhat, but on the whole, this is a readable, pithy volume that does an excellent job of encapsulating this important area of information research."

LCSH

Information retrieval ; Research
Information science

Subject

Information retrieval ; Research
Information science

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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

LCSH

Faceted classification / Research
Internet searching / Research
Web search engines / Research

Subject

Faceted classification / Research
Internet searching / Research
Web search engines / Research

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Abstract

The advent of new information retrieval (IR) technologies and approaches to storage and retrieval provide communities with previously unheard of opportunities for mass documentation, digitization, and the recording of information in all its forms. This book introduces and contextualizes these developments and looks at supporting research in IR, the debates, theories and issues. Contributed by an international team of experts, each authored chapter provides a snapshot of changes in the field, as well as the importance of developing innovation, creativity and thinking in IR practice and research. Key discussion areas include: browsing in new information environments classification revisited: a web of knowledge approaches to fiction retrieval research music information retrieval research folksonomies, social tagging and information retrieval digital information interaction as semantic navigation assessing web search machines: a webometric approach. The questions raised are of significance to the whole international library and information science community, and this is essential reading for LIS professionals , researchers and students, and for all those interested in the future of IR.

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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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.

Classification

SS 4800 Informatik / Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen / Schriftenreihen (indiv. Sign.) / Lecture notes in computer science

LCSH

Computer science

RVK

SS 4800 Informatik / Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen / Schriftenreihen (indiv. Sign.) / Lecture notes in computer science

Series

Lecture notes in computer science ; vol. 4675

Subject

Computer science

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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.

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

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

Text processing (Computer science) / Congresses

Subject

Text processing (Computer science) / Congresses

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Abstract

This book constitutes the refereed proceedings of the 9th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2005, held in Vienna, Austria in September 2005. The 41 revised full papers presented together with 2 panel papers and 30 revised poster papers were carefully reviewed and selected from a total of 162 submissions. The papers are organized in topical sections on digital library models and architectures, multimedia and hypermedia digital libraries, XML, building digital libraries, user studies, digital preservation, metadata, digital libraries and e-learning, text classification in digital libraries, searching, and text digital libraries.

Classification

SS 4800 Informatik / Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen / Schriftenreihen (indiv. Sign.) / Lecture notes in computer science

RVK

SS 4800 Informatik / Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen / Schriftenreihen (indiv. Sign.) / Lecture notes in computer science

Series

Lecture notes in computer science ; 3652

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Abstract

This book constitutes the refereed proceedings of the 8th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2004, held in Bath, UK in September 2004. The 47 revised full papers presented were carefully reviewed and selected from a total of 148 submissions. The papers are organized in topical sections on digital library architectures, evaluation and usability, user interfaces and presentation, new approaches to information retrieval, interoperability, enhanced indexing and search methods, personalization and applications, music digital libraries, personal digital libraries, innovative technologies, open archive initiative, new models and tools, and user-centered design.

Classification

SS 4800 Informatik / Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen / Schriftenreihen (indiv. Sign.) / Lecture notes in computer science

RVK

SS 4800 Informatik / Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen / Schriftenreihen (indiv. Sign.) / Lecture notes in computer science

Series

Lecture notes in computer science; vol.3232

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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.
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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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.

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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.

Date

22. 3.2008 14:29:25

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Abstract

Why doesn't your home page appear on the first page of search results, even when you query your own name? How do other Web pages always appear at the top? What creates these powerful rankings? And how? The first book ever about the science of Web page rankings, "Google's PageRank and Beyond" supplies the answers to these and other questions and more. The book serves two very different audiences: the curious science reader and the technical computational reader. The chapters build in mathematical sophistication, so that the first five are accessible to the general academic reader. While other chapters are much more mathematical in nature, each one contains something for both audiences. For example, the authors include entertaining asides such as how search engines make money and how the Great Firewall of China influences research. The book includes an extensive background chapter designed to help readers learn more about the mathematics of search engines, and it contains several MATLAB codes and links to sample Web data sets. The philosophy throughout is to encourage readers to experiment with the ideas and algorithms in the text. Any business seriously interested in improving its rankings in the major search engines can benefit from the clear examples, sample code, and list of resources provided. It includes: many illustrative examples and entertaining asides; MATLAB code; accessible and informal style; and complete and self-contained section for mathematics review.

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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.

Series

Advances in information systems and management science; 39

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Abstract

The main purpose of this book is to sum up the vital and highly topical research issue of knowledge representation on the Web and to discuss novel solutions by combining benefits of folksonomies and Web 2.0 approaches with ontologies and semantic technologies. This book contains an overview of knowledge representation approaches in past, present and future, introduction to ontologies, Web indexing and in first case the novel approaches of developing ontologies. This title combines aspects of knowledge representation for both the Semantic Web (ontologies) and the Web 2.0 (folksonomies). Currently there is no monographic book which provides a combined overview over these topics. focus on the topic of using knowledge representation methods for document indexing purposes. For this purpose, considerations from classical librarian interests in knowledge representation (thesauri, classification schemes etc.) are included, which are not part of most other books which have a stronger background in computer science.

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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.

LCSH

Information storage and retrieval systems / Congresses / Science / History

Subject

Information storage and retrieval systems / Congresses / Science / History

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Abstract

Many information professionals working in small units today fail to find the published tools for subject-based organization that are appropriate to their local needs, whether they are archivists, special librarians, information officers, or knowledge or content managers. Large established standards for document description and organization are too unwieldy, unnecessarily detailed, or too expensive to install and maintain. In other cases the available systems are insufficient for a specialist environment, or don't bring things together in a helpful way. A purpose built, in-house system would seem to be the answer, but too often the skills necessary to create one are lacking. This practical text examines the criteria relevant to the selection of a subject-management system, describes the characteristics of some common types of subject tool, and takes the novice step by step through the process of creating a system for a specialist environment. The methodology employed is a standard technique for the building of a thesaurus that incidentally creates a compatible classification or taxonomy, both of which may be used in a variety of ways for document or information management. Key areas covered are: What is a thesaurus? Tools for subject access and retrieval; what a thesaurus is used for? Why use a thesaurus? Examples of thesauri; the structure of a thesaurus; thesaural relationships; practical thesaurus construction; the vocabulary of the thesaurus; building the systematic structure; conversion to alphabetic format; forms of entry in the thesaurus; maintaining the thesaurus; thesaurus software; and; the wider environment. Essential for the practising information professional, this guide is also valuable for students of library and information science.

Footnote

Diese Abschnitte sind verständlich geschrieben und trotz der mitunter gar nicht so einfachen Thematik auch für Einsteiger geeignet. Vorteilhaft ist sicherlich, dass die Autorin die Thesauruserstellung konsequent anhand eines einzelnen thematischen Beispiels demonstriert und dafür das Gebiet "animal welfare" gewählt hat, wohl nicht zuletzt auch deshalb, da die hier auftretenden Facetten und Beziehungen ohne allzu tiefgreifende fachwissenschaftliche Kenntnisse für die meisten Leser nachvollziehbar sind. Das methodische Gerüst der Facettenanalyse wird hier deutlich stärker betont als etwa in der (spärlichen) deutschsprachigen Thesaurusliteratur. Diese Vorgangsweise soll neben der Ordnungsbildung auch dazu verhelfen, die Zahl der Deskriptoren überschaubar zu halten und weniger auf komplexe (präkombinierte) Deskriptoren als auf postkoordinierte Indexierung zu setzen. Dafür wird im übrigen das als Verfeinerung der bekannten Ranganathanschen PMEST-Formel geltende Schema der 13 "fundamental categories" der UK Classification Research Group (CRG) vorgeschlagen bzw. in dem Beispiel verwendet (Thing / Kind / Part / Property; Material / Process / Operation; Patient / Product / By-product / Agent; Space; Time). Als "minor criticism" sei erwähnt, dass Broughton in ihrem Demonstrationsbeispiel als Notation für die erarbeitete Ordnung eine m.E. schwer lesbare Buchstabenfolge verwendet, obwohl sie zugesteht (S. 165), dass ein Zifferncode vielfach als einfacher handhabbar empfunden wird.

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LCSH

Text processing (Computer science)

Subject

Text processing (Computer science)