Search (32 results, page 1 of 2)

0.06309517 = product of:
  0.12619033 = sum of:
    0.12619033 = sum of:
      0.09598551 = weight(_text_:book in 150) [ClassicSimilarity], result of:
        0.09598551 = score(doc=150,freq=24.0), product of:
          0.2272612 = queryWeight, product of:
            4.414126 = idf(docFreq=1454, maxDocs=44218)
            0.051484983 = queryNorm
          0.42235768 = fieldWeight in 150, product of:
            4.8989797 = tf(freq=24.0), with freq of:
              24.0 = termFreq=24.0
            4.414126 = idf(docFreq=1454, maxDocs=44218)
            0.01953125 = fieldNorm(doc=150)
      0.030204821 = weight(_text_:22 in 150) [ClassicSimilarity], result of:
        0.030204821 = score(doc=150,freq=6.0), product of:
          0.18029164 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.051484983 = queryNorm
          0.16753313 = fieldWeight in 150, product of:
            2.4494898 = tf(freq=6.0), with freq of:
              6.0 = termFreq=6.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.01953125 = fieldNorm(doc=150)
  0.5 = coord(1/2)

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."

0.05662468 = product of:
  0.11324936 = sum of:
    0.11324936 = sum of:
      0.07837184 = weight(_text_:book in 1397) [ClassicSimilarity], result of:
        0.07837184 = score(doc=1397,freq=4.0), product of:
          0.2272612 = queryWeight, product of:
            4.414126 = idf(docFreq=1454, maxDocs=44218)
            0.051484983 = queryNorm
          0.34485358 = fieldWeight in 1397, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            4.414126 = idf(docFreq=1454, maxDocs=44218)
            0.0390625 = fieldNorm(doc=1397)
      0.034877524 = weight(_text_:22 in 1397) [ClassicSimilarity], result of:
        0.034877524 = score(doc=1397,freq=2.0), product of:
          0.18029164 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.051484983 = queryNorm
          0.19345059 = fieldWeight in 1397, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0390625 = fieldNorm(doc=1397)
  0.5 = coord(1/2)

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

0.03611791 = product of:
  0.07223582 = sum of:
    0.07223582 = sum of:
      0.044333804 = weight(_text_:book in 2426) [ClassicSimilarity], result of:
        0.044333804 = score(doc=2426,freq=2.0), product of:
          0.2272612 = queryWeight, product of:
            4.414126 = idf(docFreq=1454, maxDocs=44218)
            0.051484983 = queryNorm
          0.19507864 = fieldWeight in 2426, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            4.414126 = idf(docFreq=1454, maxDocs=44218)
            0.03125 = fieldNorm(doc=2426)
      0.027902018 = weight(_text_:22 in 2426) [ClassicSimilarity], result of:
        0.027902018 = score(doc=2426,freq=2.0), product of:
          0.18029164 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.051484983 = queryNorm
          0.15476047 = fieldWeight in 2426, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.03125 = fieldNorm(doc=2426)
  0.5 = coord(1/2)

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.

0.03611791 = product of:
  0.07223582 = sum of:
    0.07223582 = sum of:
      0.044333804 = weight(_text_:book in 2428) [ClassicSimilarity], result of:
        0.044333804 = score(doc=2428,freq=2.0), product of:
          0.2272612 = queryWeight, product of:
            4.414126 = idf(docFreq=1454, maxDocs=44218)
            0.051484983 = queryNorm
          0.19507864 = fieldWeight in 2428, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            4.414126 = idf(docFreq=1454, maxDocs=44218)
            0.03125 = fieldNorm(doc=2428)
      0.027902018 = weight(_text_:22 in 2428) [ClassicSimilarity], result of:
        0.027902018 = score(doc=2428,freq=2.0), product of:
          0.18029164 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.051484983 = queryNorm
          0.15476047 = fieldWeight in 2428, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.03125 = fieldNorm(doc=2428)
  0.5 = coord(1/2)

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.

0.022166902 = product of:
  0.044333804 = sum of:
    0.044333804 = product of:
      0.08866761 = sum of:
        0.08866761 = weight(_text_:book in 1486) [ClassicSimilarity], result of:
          0.08866761 = score(doc=1486,freq=8.0), product of:
            0.2272612 = queryWeight, product of:
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.051484983 = queryNorm
            0.39015728 = fieldWeight in 1486, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.03125 = fieldNorm(doc=1486)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

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.

0.022166902 = product of:
  0.044333804 = sum of:
    0.044333804 = product of:
      0.08866761 = sum of:
        0.08866761 = weight(_text_:book in 3346) [ClassicSimilarity], result of:
          0.08866761 = score(doc=3346,freq=8.0), product of:
            0.2272612 = queryWeight, product of:
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.051484983 = queryNorm
            0.39015728 = fieldWeight in 3346, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.03125 = fieldNorm(doc=3346)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

The World Wide Web is rapidly filling with more text than anyone could have imagined even a short time ago, but the task of isolating relevant parts of this vast information has become just that much more daunting. Richard Belew brings a cognitive perspective to the study of information retrieval as a discipline within computer science. He introduces the idea of Finding Out About (FDA) as the process of actively seeking out information relevant to a topic of interest and describes its many facets - ranging from creating a good characterization of what the user seeks, to what documents actually mean, to methods of inferring semantic clues about each document, to the problem of evaluating whether our search engines are performing as we have intended. Finding Out About explains how to build the tools that are useful for searching collections of text and other media. In the process it takes a close look at the properties of textual documents that do not become clear until very large collections of them are brought together and shows that the construction of effective search engines requires knowledge of the statistical and mathematical properties of linguistic phenomena, as well as an appreciation for the cognitive foundation we bring to the task as language users. The unique approach of this book is its even handling of the phenomena of both numbers and words, making it accessible to a wide audience. The textbook is usable in both undergraduate and graduate classes on information retrieval, library science, and computational linguistics. The text is accompanied by a CD-ROM that contains a hypertext version of the book, including additional topics and notes not present in the printed edition. In addition, the CD contains the full text of C.J. "Keith" van Rijsbergen's famous textbook, Information Retrieval (now out of print). Many active links from Belew's to van Rijsbergen's hypertexts help to unite the material. Several test corpora and indexing tools are provided, to support the design of your own search engine. Additional exercises using these corpora and code are available to instructors. Also supporting this book is a Web site that will include recent additions to the book, as well as links to sites of new topics and methods.

0.02078147 = product of:
  0.04156294 = sum of:
    0.04156294 = product of:
      0.08312588 = sum of:
        0.08312588 = weight(_text_:book in 636) [ClassicSimilarity], result of:
          0.08312588 = score(doc=636,freq=18.0), product of:
            0.2272612 = queryWeight, product of:
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.051484983 = queryNorm
            0.36577243 = fieldWeight in 636, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.01953125 = fieldNorm(doc=636)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

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."

0.01959296 = product of:
  0.03918592 = sum of:
    0.03918592 = product of:
      0.07837184 = sum of:
        0.07837184 = weight(_text_:book in 3306) [ClassicSimilarity], result of:
          0.07837184 = score(doc=3306,freq=4.0), product of:
            0.2272612 = queryWeight, product of:
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.051484983 = queryNorm
            0.34485358 = fieldWeight in 3306, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3306)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

A modern information retrieval system must have the capability to find, organize and present very different manifestations of information - such as text, pictures, videos or database records - any of which may be of relevance to the user. However, the concept of relevance, while seemingly intuitive, is actually hard to define, and it's even harder to model in a formal way. Lavrenko does not attempt to bring forth a new definition of relevance, nor provide arguments as to why any particular definition might be theoretically superior or more complete. Instead, he takes a widely accepted, albeit somewhat conservative definition, makes several assumptions, and from them develops a new probabilistic model that explicitly captures that notion of relevance. With this book, he makes two major contributions to the field of information retrieval: first, a new way to look at topical relevance, complementing the two dominant models, i.e., the classical probabilistic model and the language modeling approach, and which explicitly combines documents, queries, and relevance in a single formalism; second, a new method for modeling exchangeable sequences of discrete random variables which does not make any structural assumptions about the data and which can also handle rare events. Thus his book is of major interest to researchers and graduate students in information retrieval who specialize in relevance modeling, ranking algorithms, and language modeling.

0.01959296 = product of:
  0.03918592 = sum of:
    0.03918592 = product of:
      0.07837184 = sum of:
        0.07837184 = weight(_text_:book in 262) [ClassicSimilarity], result of:
          0.07837184 = score(doc=262,freq=4.0), product of:
            0.2272612 = queryWeight, product of:
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.051484983 = queryNorm
            0.34485358 = fieldWeight in 262, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.0390625 = fieldNorm(doc=262)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

The Architecture of Cyberspace is aimed at students taking information management as a minor in their course as well as those who manage document collections but who are not professional librarians. The first part of this book looks at how users find documents and the problems they have; the second part discusses how to manage the information space using various tools such as classification and controlled vocabularies. It also explores the general issues of publishing, including legal considerations, as well the main issues of creating and managing archives. Supported by exercises and discussion questions at the end of each chapter, the book includes some sample assignments suitable for use with students of this subject. A glossary is also provided to help readers understand the specialised vocabulary and the key concepts in the design and assessment of information spaces.

0.018058956 = product of:
  0.03611791 = sum of:
    0.03611791 = sum of:
      0.022166902 = weight(_text_:book in 1789) [ClassicSimilarity], result of:
        0.022166902 = score(doc=1789,freq=2.0), product of:
          0.2272612 = queryWeight, product of:
            4.414126 = idf(docFreq=1454, maxDocs=44218)
            0.051484983 = queryNorm
          0.09753932 = fieldWeight in 1789, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            4.414126 = idf(docFreq=1454, maxDocs=44218)
            0.015625 = fieldNorm(doc=1789)
      0.013951009 = weight(_text_:22 in 1789) [ClassicSimilarity], result of:
        0.013951009 = score(doc=1789,freq=2.0), product of:
          0.18029164 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.051484983 = queryNorm
          0.07738023 = fieldWeight in 1789, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.015625 = fieldNorm(doc=1789)
  0.5 = coord(1/2)

Date

23. 3.2008 19:10:22

Footnote

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.

0.016797466 = product of:
  0.033594932 = sum of:
    0.033594932 = product of:
      0.067189865 = sum of:
        0.067189865 = weight(_text_:book in 4515) [ClassicSimilarity], result of:
          0.067189865 = score(doc=4515,freq=6.0), product of:
            0.2272612 = queryWeight, product of:
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.051484983 = queryNorm
            0.2956504 = fieldWeight in 4515, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.02734375 = fieldNorm(doc=4515)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

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.

0.016625179 = product of:
  0.033250358 = sum of:
    0.033250358 = product of:
      0.066500716 = sum of:
        0.066500716 = weight(_text_:book in 5777) [ClassicSimilarity], result of:
          0.066500716 = score(doc=5777,freq=2.0), product of:
            0.2272612 = queryWeight, product of:
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.051484983 = queryNorm
            0.29261798 = fieldWeight in 5777, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.046875 = fieldNorm(doc=5777)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

This book discusses many of the key design issues for building search engines and emphazises the important role that applied mathematics can play in improving information retrieval. The authors discuss not only important data structures, algorithms, and software but also user-centered issues such as interfaces, manual indexing, and document preparation. They also present some of the current problems in information retrieval that many not be familiar to applied mathematicians and computer scientists and some of the driving computational methods (SVD, SDD) for automated conceptual indexing

0.014662029 = product of:
  0.029324058 = sum of:
    0.029324058 = product of:
      0.058648117 = sum of:
        0.058648117 = weight(_text_:book in 92) [ClassicSimilarity], result of:
          0.058648117 = score(doc=92,freq=14.0), product of:
            0.2272612 = queryWeight, product of:
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.051484983 = queryNorm
            0.2580648 = fieldWeight in 92, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.015625 = fieldNorm(doc=92)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

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."

0.014397828 = product of:
  0.028795656 = sum of:
    0.028795656 = product of:
      0.05759131 = sum of:
        0.05759131 = weight(_text_:book in 6) [ClassicSimilarity], result of:
          0.05759131 = score(doc=6,freq=6.0), product of:
            0.2272612 = queryWeight, product of:
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.051484983 = queryNorm
            0.25341463 = fieldWeight in 6, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.0234375 = fieldNorm(doc=6)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

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.

0.013854314 = product of:
  0.027708627 = sum of:
    0.027708627 = product of:
      0.055417255 = sum of:
        0.055417255 = weight(_text_:book in 804) [ClassicSimilarity], result of:
          0.055417255 = score(doc=804,freq=2.0), product of:
            0.2272612 = queryWeight, product of:
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.051484983 = queryNorm
            0.2438483 = fieldWeight in 804, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.0390625 = fieldNorm(doc=804)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory. As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. Knowledge extraction or creation from text requires systematic yet reliable processing that can be codified and adapted for changing needs and environments. This book will draw upon experts in both academia and industry to recommend practical approaches to the purification, indexing, and mining of textual information. It will address document identification, clustering and categorizing documents, cleaning text, and visualizing semantic models of text.

0.013854314 = product of:
  0.027708627 = sum of:
    0.027708627 = product of:
      0.055417255 = sum of:
        0.055417255 = weight(_text_:book in 823) [ClassicSimilarity], result of:
          0.055417255 = score(doc=823,freq=2.0), product of:
            0.2272612 = queryWeight, product of:
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.051484983 = queryNorm
            0.2438483 = fieldWeight in 823, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.0390625 = fieldNorm(doc=823)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Philosophy and Computing explores each of the following areas of technology: the digital revolution; the computer; the Internet and the Web; CD-ROMs and Mulitmedia; databases, textbases, and hypertexts; Artificial Intelligence; the future of computing. Luciano Floridi shows us how the relationship between philosophy and computing provokes a wide range of philosophical questions: is there a philosophy of information? What can be achieved by a classic computer? How can we define complexity? What are the limits of quantam computers? Is the Internet an intellectual space or a polluted environment? What is the paradox in the Strong Artificial Intlligence program? Philosophy and Computing is essential reading for anyone wishing to fully understand both the development and history of information and communication technology as well as the philosophical issues it ultimately raises. 'The most careful and scholarly book to be written on castles in a generation.'

0.013715073 = product of:
  0.027430145 = sum of:
    0.027430145 = product of:
      0.05486029 = sum of:
        0.05486029 = weight(_text_:book in 9) [ClassicSimilarity], result of:
          0.05486029 = score(doc=9,freq=4.0), product of:
            0.2272612 = queryWeight, product of:
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.051484983 = queryNorm
            0.24139751 = fieldWeight in 9, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.02734375 = fieldNorm(doc=9)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Few companies in history have ever been as successful and as admired as Google, the company that has transformed the Internet and become an indispensable part of our lives. How has Google done it? Veteran technology reporter Steven Levy was granted unprecedented access to the company, and in this revelatory book he takes readers inside Google headquarters-the Googleplex-to show how Google works. While they were still students at Stanford, Google cofounders Larry Page and Sergey Brin revolutionized Internet search. They followed this brilliant innovation with another, as two of Google's earliest employees found a way to do what no one else had: make billions of dollars from Internet advertising. With this cash cow (until Google's IPO nobody other than Google management had any idea how lucrative the company's ad business was), Google was able to expand dramatically and take on other transformative projects: more efficient data centers, open-source cell phones, free Internet video (YouTube), cloud computing, digitizing books, and much more. The key to Google's success in all these businesses, Levy reveals, is its engineering mind-set and adoption of such Internet values as speed, openness, experimentation, and risk taking. After its unapologetically elitist approach to hiring, Google pampers its engineers-free food and dry cleaning, on-site doctors and masseuses-and gives them all the resources they need to succeed. Even today, with a workforce of more than 23,000, Larry Page signs off on every hire. But has Google lost its innovative edge? It stumbled badly in China-Levy discloses what went wrong and how Brin disagreed with his peers on the China strategy-and now with its newest initiative, social networking, Google is chasing a successful competitor for the first time. Some employees are leaving the company for smaller, nimbler start-ups. Can the company that famously decided not to be evil still compete? No other book has ever turned Google inside out as Levy does with In the Plex.

0.012391676 = product of:
  0.024783352 = sum of:
    0.024783352 = product of:
      0.049566705 = sum of:
        0.049566705 = weight(_text_:book in 1796) [ClassicSimilarity], result of:
          0.049566705 = score(doc=1796,freq=10.0), product of:
            0.2272612 = queryWeight, product of:
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.051484983 = queryNorm
            0.21810456 = fieldWeight in 1796, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.015625 = fieldNorm(doc=1796)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

In this collection of nearly 50 articles written by librarians, computer specialists, and other information professionals, the reader finds 10 chapters, each devoted to a problem or a side effect that has emerged since the introduction of the Internet: control over selection, survival of the book, training users, adapting to users' expectations, access issues, cost of technology, continuous retraining, legal issues, disappearing data, and how to avoid becoming blind sided. After stating a problem, each chapter offers solutions that are subsequently supported by articles. The editor's comments, which appear throughout the text, are an added bonus, as are the sections concluding the book, among them a listing of useful URLs, a works-cited section, and a comprehensive index. This book has much to recommend it, especially the articles, which are not only informative, thought-provoking, and interesting but highly readable and accessible as well. An indispensable tool for all librarians.

Footnote

Rez. in: JASIST 55(2004) no.11, S.1025-1026 (D.E. Agosto): ""Did you ever feel as though the Internet has caused you to lose control of your library?" So begins the introduction to this volume of over 50 articles, essays, library policies, and other documents from a variety of sources, most of which are library journals aimed at practitioners. Volume editor Block has a long history of library service as well as an active career as an online journalist. From 1977 to 1999 she was the Associate Director of Public Services at the St. Ambrose University library in Davenport, Iowa. She was also a Fox News Online weekly columnist from 1998 to 2000. She currently writes for and publishes the weekly ezine Exlibris, which focuses an the use of computers, the Internet, and digital databases to improve library services. Despite the promising premise of this book, the final product is largely a disappointment because of the superficial coverage of its issues. A listing of the most frequently represented sources serves to express the general level and style of the entries: nine articles are reprinted from Computers in Libraries, five from Library Journal, four from Library Journal NetConnect, four from ExLibris, four from American Libraries, three from College & Research Libraries News, two from Online, and two from The Chronicle of Higher Education. Most of the authors included contributed only one item, although Roy Tennant (manager of the California Digital Library) authored three of the pieces, and Janet L. Balas (library information systems specialist at the Monroeville Public Library in Pennsylvania) and Karen G. Schneider (coordinator of lii.org, the Librarians' Index to the Internet) each wrote two. Volume editor Block herself wrote six of the entries, most of which have been reprinted from ExLibris. Reading the volume is muck like reading an issue of one of these journals-a pleasant experience that discusses issues in the field without presenting much research. Net Effects doesn't offer much in the way of theory or research, but then again it doesn't claim to. Instead, it claims to be an "idea book" (p. 5) with practical solutions to Internet-generated library problems. While the idea is a good one, little of the material is revolutionary or surprising (or even very creative), and most of the solutions offered will already be familiar to most of the book's intended audience.

0.011083451 = product of:
  0.022166902 = sum of:
    0.022166902 = product of:
      0.044333804 = sum of:
        0.044333804 = weight(_text_:book in 7) [ClassicSimilarity], result of:
          0.044333804 = score(doc=7,freq=2.0), product of:
            0.2272612 = queryWeight, product of:
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.051484983 = queryNorm
            0.19507864 = fieldWeight in 7, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.03125 = fieldNorm(doc=7)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Content

Inhalt: Introduction Document File Preparation - Manual Indexing - Information Extraction - Vector Space Modeling - Matrix Decompositions - Query Representations - Ranking and Relevance Feedback - Searching by Link Structure - User Interface - Book Format Document File Preparation Document Purification and Analysis - Text Formatting - Validation - Manual Indexing - Automatic Indexing - Item Normalization - Inverted File Structures - Document File - Dictionary List - Inversion List - Other File Structures Vector Space Models Construction - Term-by-Document Matrices - Simple Query Matching - Design Issues - Term Weighting - Sparse Matrix Storage - Low-Rank Approximations Matrix Decompositions QR Factorization - Singular Value Decomposition - Low-Rank Approximations - Query Matching - Software - Semidiscrete Decomposition - Updating Techniques Query Management Query Binding - Types of Queries - Boolean Queries - Natural Language Queries - Thesaurus Queries - Fuzzy Queries - Term Searches - Probabilistic Queries Ranking and Relevance Feedback Performance Evaluation - Precision - Recall - Average Precision - Genetic Algorithms - Relevance Feedback Searching by Link Structure HITS Method - HITS Implementation - HITS Summary - PageRank Method - PageRank Adjustments - PageRank Implementation - PageRank Summary User Interface Considerations General Guidelines - Search Engine Interfaces - Form Fill-in - Display Considerations - Progress Indication - No Penalties for Error - Results - Test and Retest - Final Considerations Further Reading

0.011083451 = product of:
  0.022166902 = sum of:
    0.022166902 = product of:
      0.044333804 = sum of:
        0.044333804 = weight(_text_:book in 2423) [ClassicSimilarity], result of:
          0.044333804 = score(doc=2423,freq=2.0), product of:
            0.2272612 = queryWeight, product of:
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.051484983 = queryNorm
            0.19507864 = fieldWeight in 2423, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.03125 = fieldNorm(doc=2423)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

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.