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Content

Enthält die Beiträge: CROFT, W.B.: Combining approaches to information retrieval; GREIFF, W.R.: The use of exploratory data analysis in information retrieval research; PONTE, J.M.: Language models for relevance feedback; PAPKA, R. u. J. ALLAN: Topic detection and tracking: event clustering as a basis for first story detection; CALLAN, J.: Distributed information retrieval; XU, J. u. W.B. CROFT: Topic-based language models for ditributed retrieval; LU, Z. u. K.S. McKINLEY: The effect of collection organization and query locality on information retrieval system performance; BALLESTEROS, L.A.: Cross-language retrieval via transitive translation; SANDERSON, M. u. D. LAWRIE: Building, testing, and applying concept hierarchies; RAVELA, S. u. C. LUO: Appearance-based global similarity retrieval of images

Footnote

Information retrieval - Relevanz - Information Retrieval Systeme - Verteilte Systeme - Multimedia - Bildverarbeitung

LCSH

Information retrieval

Series

The Kluwer international series on information retrieval; 7

Subject

Information retrieval

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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
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
Information Storage and Retrieval
Information Systems Applications (incl.Internet
Multimedia Information Systems

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LCSH

Information systems
Information Systems Applications (incl.Internet)
Multimedia Information Systems

Subject

Information systems
Information Systems Applications (incl.Internet)
Multimedia Information Systems

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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.

LCSH

Information storage and retrieval systems

RSWK

Semantic Web / Multimedia / Automatische Indexierung / Information Retrieval

Subject

Semantic Web / Multimedia / Automatische Indexierung / Information Retrieval
Information storage and retrieval systems

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Abstract

Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.

Content

Inhalt: An Introduction to Text Mining.- Information Extraction from Text.- A Survey of Text Summarization Techniques.- A Survey of Text Clustering Algorithms.- Dimensionality Reduction and Topic Modeling.- A Survey of Text Classification Algorithms.- Transfer Learning for Text Mining.- Probabilistic Models for Text Mining.- Mining Text Streams.- Translingual Mining from Text Data.- Text Mining in Multimedia.- Text Analytics in Social Media.- A Survey of Opinion Mining and Sentiment Analysis.- Biomedical Text Mining: A Survey of Recent Progress.- Index.