Search (81 results, page 4 of 5)

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Content

Information representation and retrieval : an overview -- Information representation I : basic approaches -- Information representation II : related topics -- Language in information representation and retrieval -- Retrieval techniques and query representation -- Retrieval approaches -- Information retrieval models -- Information retrieval systems -- Retrieval of information unique in content or format -- The user dimension in information representation and retrieval -- Evaluation of information representation and retrieval -- Artificial intelligence in information representation and retrieval.

Imprint

Medford, NJ : Information Today

LCSH

Information organization
Information retrieval
Information storage and retrieval systems

Subject

Information organization
Information retrieval
Information storage and retrieval systems

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BK

54.08 / Informatik in Beziehung zu Mensch und Gesellschaft
05.20 / Kommunikation und Gesellschaft

Classification

54.08 / Informatik in Beziehung zu Mensch und Gesellschaft
05.20 / Kommunikation und Gesellschaft

Footnote

Deutsche Übersetzung als: Googlenomics : Wie Google denkt, arbeitet und unser Leben verändert. Heidelberg, Neckar ; mitp/bhv ; 2011. Rez. in: JASIST 62(2011) no.12, S.2540-2543 (C. Leslie)

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LCSH

Information storage and retrieval systems / Evaluation

RSWK

Information Retrieval / Datenbankverwaltung / Hochschulschrift (GBV)
Information Retrieval / Dialogsystem (SWB)
Information Retrieval / Dialogsystem / Leistungsbewertung (BVB)

Subject

Information Retrieval / Datenbankverwaltung / Hochschulschrift (GBV)
Information Retrieval / Dialogsystem (SWB)
Information Retrieval / Dialogsystem / Leistungsbewertung (BVB)
Information storage and retrieval systems / Evaluation

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Abstract

For introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. Written by a leader in the field of information retrieval, Search Engines: Information Retrieval in Practice, is designed to give undergraduate students the understanding and tools they need to evaluate, compare and modify search engines. Coverage of the underlying IR and mathematical models reinforce key concepts. The book's numerous programming exercises make extensive use of Galago, a Java-based open source search engine. SUPPLEMENTS / Extensive lecture slides (in PDF and PPT format) / Solutions to selected end of chapter problems (Instructors only) / Test collections for exercises / Galago search engine

LCSH

Information retrieval
Information Storage and Retrieval

RSWK

Suchmaschine / Information Retrieval

Subject

Suchmaschine / Information Retrieval
Information retrieval
Information Storage and Retrieval

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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.

LCSH

Information technology
Information retrieval
Information resources management

RSWK

Information Engineering / Lehrbuch
Information Retrieval / Lehrbuch

Subject

Information Engineering / Lehrbuch
Information Retrieval / Lehrbuch
Information technology
Information retrieval
Information resources management

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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.

Series

Synthesis lectures on information concepts, retrieval & services; 3

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LCSH

Library information networks
Library information networks / United States

Subject

Library information networks
Library information networks / United States

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LCSH

Information display systems / Congresses

Subject

Information display systems / Congresses

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Abstract

We live in an information age that requires us, more than ever, to represent, access, and use information. Over the last several decades, we have developed a modern science and technology for information retrieval, relentlessly pursuing the vision of a "memex" that Vannevar Bush proposed in his seminal article, "As We May Think." Faceted search plays a key role in this program. Faceted search addresses weaknesses of conventional search approaches and has emerged as a foundation for interactive information retrieval. User studies demonstrate that faceted search provides more effective information-seeking support to users than best-first search. Indeed, faceted search has become increasingly prevalent in online information access systems, particularly for e-commerce and site search. In this lecture, we explore the history, theory, and practice of faceted search. Although we cannot hope to be exhaustive, our aim is to provide sufficient depth and breadth to offer a useful resource to both researchers and practitioners. Because faceted search is an area of interest to computer scientists, information scientists, interface designers, and usability researchers, we do not assume that the reader is a specialist in any of these fields. Rather, we offer a self-contained treatment of the topic, with an extensive bibliography for those who would like to pursue particular aspects in more depth.

Content

Table of Contents: I. Key Concepts / Introduction: What Are Facets? / Information Retrieval / Faceted Information Retrieval / II. Research and Practice / Academic Research / Commercial Applications / III. Practical Concerns / Back-End Concerns / Front-End Concerns / Conclusion / Glossary

RSWK

Information Retrieval

Series

Synthesis lectures on information concepts, retrieval & services; 5

Subject

Information Retrieval

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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.

RSWK

Relevanz-Feedback / Information Retrieval

Series

The information retrieval series ; 26

Subject

Relevanz-Feedback / Information Retrieval

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LCSH

Information technology

RSWK

Information Engineering / Wissensmanagement (BVB)

Subject

Information Engineering / Wissensmanagement (BVB)
Information technology

Theme

Information Resources Management

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Abstract

The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval follows the basic premise of the first edition by discussing many of the key design issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The authors discuss important data structures, algorithms, and software as well as user-centered issues such as interfaces, manual indexing, and document preparation. Significant changes bring the text up to date on current information retrieval methods: for example the addition of a new chapter on link-structure algorithms used in search engines such as Google. The chapter on user interface has been rewritten to specifically focus on search engine usability. In addition the authors have added new recommendations for further reading and expanded the bibliography, and have updated and streamlined the index to make it more reader friendly.

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

RSWK

Suchmaschine / Information Retrieval
Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)

Subject

Suchmaschine / Information Retrieval
Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)

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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.

RSWK

Suchmaschine / World Wide Web / Information Retrieval

Subject

Suchmaschine / World Wide Web / Information Retrieval

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Imprint

Medford, N.J. : Information Today

LCSH

Libraries / Information technology

Subject

Libraries / Information technology

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Abstract

A practical approach to developing and operating an effective programme to manage hybrid records within an organization. This title positions records management as an integral business function linked to the organisation's business aims and objectives. The authors also address the records requirements of new and significant pieces of legislation, such as data protection and freedom of information, as well as exploring strategies for managing electronic records. Bullet points, checklists and examples assist the reader throughout, making this a one-stop resource for information in this area.

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Abstract

The Text REtrieval Conference (TREC), a yearly workshop hosted by the US government's National Institute of Standards and Technology, provides the infrastructure necessary for large-scale evaluation of text retrieval methodologies. With the goal of accelerating research in this area, TREC created the first large test collections of full-text documents and standardized retrieval evaluation. The impact has been significant; since TREC's beginning in 1992, retrieval effectiveness has approximately doubled. TREC has built a variety of large test collections, including collections for such specialized retrieval tasks as cross-language retrieval and retrieval of speech. Moreover, TREC has accelerated the transfer of research ideas into commercial systems, as demonstrated in the number of retrieval techniques developed in TREC that are now used in Web search engines. This book provides a comprehensive review of TREC research, summarizing the variety of TREC results, documenting the best practices in experimental information retrieval, and suggesting areas for further research. The first part of the book describes TREC's history, test collections, and retrieval methodology. Next, the book provides "track" reports -- describing the evaluations of specific tasks, including routing and filtering, interactive retrieval, and retrieving noisy text. The final part of the book offers perspectives on TREC from such participants as Microsoft Research, University of Massachusetts, Cornell University, University of Waterloo, City University of New York, and IBM. The book will be of interest to researchers in information retrieval and related technologies, including natural language processing.

Footnote

Rez. in: JASIST 58(2007) no.6, S.910-911 (J.L. Vicedo u. J. Gomez): "The Text REtrieval Conference (TREC) is a yearly workshop hosted by the U.S. government's National Institute of Standards and Technology (NIST) that fosters and supports research in information retrieval as well as speeding the transfer of technology between research labs and industry. Since 1992, TREC has provided the infrastructure necessary for large-scale evaluations of different text retrieval methodologies. TREC impact has been very important and its success has been mainly supported by its continuous adaptation to the emerging information retrieval needs. Not in vain, TREC has built evaluation benchmarks for more than 20 different retrieval problems such as Web retrieval, speech retrieval, or question-answering. The large and intense trajectory of annual TREC conferences has resulted in an immense bulk of documents reflecting the different eval uation and research efforts developed. This situation makes it difficult sometimes to observe clearly how research in information retrieval (IR) has evolved over the course of TREC. TREC: Experiment and Evaluation in Information Retrieval succeeds in organizing and condensing all this research into a manageable volume that describes TREC history and summarizes the main lessons learned. The book is organized into three parts. The first part is devoted to the description of TREC's origin and history, the test collections, and the evaluation methodology developed. The second part describes a selection of the major evaluation exercises (tracks), and the third part contains contributions from research groups that had a large and remarkable participation in TREC. Finally, Karen Spark Jones, one of the main promoters of research in IR, closes the book with an epilogue that analyzes the impact of TREC on this research field.
... TREC: Experiment and Evaluation in Information Retrieval is a reliable and comprehensive review of the TREC program and has been adopted by NIST as the official history of TREC (see http://trec.nist.gov). We were favorably surprised by the book. Well structured and written, chapters are self-contained and the existence of references to specialized and more detailed publications is continuous, which makes it easier to expand into the different aspects analyzed in the text. This book succeeds in compiling TREC evolution from its inception in 1992 to 2003 in an adequate and manageable volume. Thanks to the impressive effort performed by the authors and their experience in the field, it can satiate the interests of a great variety of readers. While expert researchers in the IR field and IR-related industrial companies can use it as a reference manual, it seems especially useful for students and non-expert readers willing to approach this research area. Like NIST, we would recommend this reading to anyone who may be interested in textual information retrieval."

LCSH

Information storage and retrieval systems / Congresses

RSWK

Information Retrieval / Textverarbeitung / Aufsatzsammlung (BVB)
Kongress / Information Retrieval / Kongress (GBV)

Subject

Information Retrieval / Textverarbeitung / Aufsatzsammlung (BVB)
Kongress / Information Retrieval / Kongress (GBV)
Information storage and retrieval systems / Congresses

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Abstract

As the World Wide Web continues to expand, it becomes increasingly difficult for users to obtain information efficiently. Because most search engines read format languages such as HTML or SGML, search results reflect formatting tags more than actual page content, which is expressed in natural language. Spinning the Semantic Web describes an exciting new type of hierarchy and standardization that will replace the current "Web of links" with a "Web of meaning." Using a flexible set of languages and tools, the Semantic Web will make all available information - display elements, metadata, services, images, and especially content - accessible. The result will be an immense repository of information accessible for a wide range of new applications. This first handbook for the Semantic Web covers, among other topics, software agents that can negotiate and collect information, markup languages that can tag many more types of information in a document, and knowledge systems that enable machines to read Web pages and determine their reliability. The truly interdisciplinary Semantic Web combines aspects of artificial intelligence, markup languages, natural language processing, information retrieval, knowledge representation, intelligent agents, and databases.

Content

Inhalt: Tim Bemers-Lee: The Original Dream - Re-enter Machines - Where Are We Now? - The World Wide Web Consortium - Where Is the Web Going Next? / Dieter Fensel, James Hendler, Henry Lieberman, and Wolfgang Wahlster: Why Is There a Need for the Semantic Web and What Will It Provide? - How the Semantic Web Will Be Possible / Jeff Heflin, James Hendler, and Sean Luke: SHOE: A Blueprint for the Semantic Web / Deborah L. McGuinness, Richard Fikes, Lynn Andrea Stein, and James Hendler: DAML-ONT: An Ontology Language for the Semantic Web / Michel Klein, Jeen Broekstra, Dieter Fensel, Frank van Harmelen, and Ian Horrocks: Ontologies and Schema Languages on the Web / Borys Omelayenko, Monica Crubezy, Dieter Fensel, Richard Benjamins, Bob Wielinga, Enrico Motta, Mark Musen, and Ying Ding: UPML: The Language and Tool Support for Making the Semantic Web Alive / Deborah L. McGuinness: Ontologies Come of Age / Jeen Broekstra, Arjohn Kampman, and Frank van Harmelen: Sesame: An Architecture for Storing and Querying RDF Data and Schema Information / Rob Jasper and Mike Uschold: Enabling Task-Centered Knowledge Support through Semantic Markup / Yolanda Gil: Knowledge Mobility: Semantics for the Web as a White Knight for Knowledge-Based Systems / Sanjeev Thacker, Amit Sheth, and Shuchi Patel: Complex Relationships for the Semantic Web / Alexander Maedche, Steffen Staab, Nenad Stojanovic, Rudi Studer, and York Sure: SEmantic portAL: The SEAL Approach / Ora Lassila and Mark Adler: Semantic Gadgets: Ubiquitous Computing Meets the Semantic Web / Christopher Frye, Mike Plusch, and Henry Lieberman: Static and Dynamic Semantics of the Web / Masahiro Hori: Semantic Annotation for Web Content Adaptation / Austin Tate, Jeff Dalton, John Levine, and Alex Nixon: Task-Achieving Agents on the World Wide Web

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Abstract

Libraries have always been an inspiration for the standards and technologies developed by semantic web activities. However, except for the Dublin Core specification, semantic web and social networking technologies have not been widely adopted and further developed by major digital library initiatives and projects. Yet semantic technologies offer a new level of flexibility, interoperability, and relationships for digital repositories. Kruk and McDaniel present semantic web-related aspects of current digital library activities, and introduce their functionality; they show examples ranging from general architectural descriptions to detailed usages of specific ontologies, and thus stimulate the awareness of researchers, engineers, and potential users of those technologies. Their presentation is completed by chapters on existing prototype systems such as JeromeDL, BRICKS, and Greenstone, as well as a look into the possible future of semantic digital libraries. This book is aimed at researchers and graduate students in areas like digital libraries, the semantic web, social networks, and information retrieval. This audience will benefit from detailed descriptions of both today's possibilities and also the shortcomings of applying semantic web technologies to large digital repositories of often unstructured data.

Content

Inhalt: Introduction to Digital Libraries and Semantic Web: Introduction / Bill McDaniel and Sebastian Ryszard Kruk - Digital Libraries and Knowledge Organization / Dagobert Soergel - Semantic Web and Ontologies / Marcin Synak, Maciej Dabrowski and Sebastian Ryszard Kruk - Social Semantic Information Spaces / John G. Breslin A Vision of Semantic Digital Libraries: Goals of Semantic Digital Libraries / Sebastian Ryszard Kruk and Bill McDaniel - Architecture of Semantic Digital Libraries / Sebastian Ryszard Kruk, Adam Westerki and Ewelina Kruk - Long-time Preservation / Markus Reis Ontologies for Semantic Digital Libraries: Bibliographic Ontology / Maciej Dabrowski, Macin Synak and Sebastian Ryszard Kruk - Community-aware Ontologies / Slawomir Grzonkowski, Sebastian Ryszard Kruk, Adam Gzella, Jakub Demczuk and Bill McDaniel Prototypes of Semantic Digital Libraries: JeromeDL: The Social Semantic Digital Library / Sebastian Ryszard Kruk, Mariusz Cygan, Adam Gzella, Tomasz Woroniecki and Maciej Dabrowski - The BRICKS Digital Library Infrastructure / Bernhard Haslhofer and Predrag Knezevié - Semantics in Greenstone / Annika Hinze, George Buchanan, David Bainbridge and Ian Witten Building the Future - Semantic Digital Libraries in Use: Hyperbooks / Gilles Falquet, Luka Nerima and Jean-Claude Ziswiler - Semantic Digital Libraries for Archiving / Bill McDaniel - Evaluation of Semantic and Social Technologies for Digital Libraries / Sebastian Ryszard Kruk, Ewelina Kruk and Katarzyna Stankiewicz - Conclusions: The Future of Semantic Digital Libraries / Sebastian Ryszard Kruk and Bill McDaniel

Theme

Information Gateway

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Content

Inhalt: Chapter 1. Introduction to Web Search Engines: 1.1 A Short History of Information Retrieval - 1.2 An Overview of Traditional Information Retrieval - 1.3 Web Information Retrieval Chapter 2. Crawling, Indexing, and Query Processing: 2.1 Crawling - 2.2 The Content Index - 2.3 Query Processing Chapter 3. Ranking Webpages by Popularity: 3.1 The Scene in 1998 - 3.2 Two Theses - 3.3 Query-Independence Chapter 4. The Mathematics of Google's PageRank: 4.1 The Original Summation Formula for PageRank - 4.2 Matrix Representation of the Summation Equations - 4.3 Problems with the Iterative Process - 4.4 A Little Markov Chain Theory - 4.5 Early Adjustments to the Basic Model - 4.6 Computation of the PageRank Vector - 4.7 Theorem and Proof for Spectrum of the Google Matrix Chapter 5. Parameters in the PageRank Model: 5.1 The a Factor - 5.2 The Hyperlink Matrix H - 5.3 The Teleportation Matrix E Chapter 6. The Sensitivity of PageRank; 6.1 Sensitivity with respect to alpha - 6.2 Sensitivity with respect to H - 6.3 Sensitivity with respect to vT - 6.4 Other Analyses of Sensitivity - 6.5 Sensitivity Theorems and Proofs Chapter 7. The PageRank Problem as a Linear System: 7.1 Properties of (I - alphaS) - 7.2 Properties of (I - alphaH) - 7.3 Proof of the PageRank Sparse Linear System Chapter 8. Issues in Large-Scale Implementation of PageRank: 8.1 Storage Issues - 8.2 Convergence Criterion - 8.3 Accuracy - 8.4 Dangling Nodes - 8.5 Back Button Modeling
Chapter 9. Accelerating the Computation of PageRank: 9.1 An Adaptive Power Method - 9.2 Extrapolation - 9.3 Aggregation - 9.4 Other Numerical Methods Chapter 10. Updating the PageRank Vector: 10.1 The Two Updating Problems and their History - 10.2 Restarting the Power Method - 10.3 Approximate Updating Using Approximate Aggregation - 10.4 Exact Aggregation - 10.5 Exact vs. Approximate Aggregation - 10.6 Updating with Iterative Aggregation - 10.7 Determining the Partition - 10.8 Conclusions Chapter 11. The HITS Method for Ranking Webpages: 11.1 The HITS Algorithm - 11.2 HITS Implementation - 11.3 HITS Convergence - 11.4 HITS Example - 11.5 Strengths and Weaknesses of HITS - 11.6 HITS's Relationship to Bibliometrics - 11.7 Query-Independent HITS - 11.8 Accelerating HITS - 11.9 HITS Sensitivity Chapter 12. Other Link Methods for Ranking Webpages: 12.1 SALSA - 12.2 Hybrid Ranking Methods - 12.3 Rankings based on Traffic Flow Chapter 13. The Future of Web Information Retrieval: 13.1 Spam - 13.2 Personalization - 13.3 Clustering - 13.4 Intelligent Agents - 13.5 Trends and Time-Sensitive Search - 13.6 Privacy and Censorship - 13.7 Library Classification Schemes - 13.8 Data Fusion Chapter 14. Resources for Web Information Retrieval: 14.1 Resources for Getting Started - 14.2 Resources for Serious Study Chapter 15. The Mathematics Guide: 15.1 Linear Algebra - 15.2 Perron-Frobenius Theory - 15.3 Markov Chains - 15.4 Perron Complementation - 15.5 Stochastic Complementation - 15.6 Censoring - 15.7 Aggregation - 15.8 Disaggregation

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Content

Inhalt: SESSION: Building and using cultural digital libraries Primarily history: historians and the search for primary source materials (Helen R. Tibbo) - Using the Gamera framework for the recognition of cultural heritage materials (Michael Droettboom, Ichiro Fujinaga, Karl MacMillan, G. Sayeed Chouhury, Tim DiLauro, Mark Patton, Teal Anderson) - Supporting access to large digital oral history archives (Samuel Gustman, Dagobert Soergel, Douglas Oard, William Byrne, Michael Picheny, Bhuvana Ramabhadran, Douglas Greenberg) SESSION: Summarization and question answering Using sentence-selection heuristics to rank text segments in TXTRACTOR (Daniel McDonald, Hsinchun Chen) - Using librarian techniques in automatic text summarization for information retrieval (Min-Yen Kan, Judith L. Klavans) - QuASM: a system for question answering using semi-structured data (David Pinto, Michael Branstein, Ryan Coleman, W. Bruce Croft, Matthew King, Wei Li, Xing Wei) SESSION: Studying users Reading-in-the-small: a study of reading on small form factor devices (Catherine C. Marshall, Christine Ruotolo) - A graph-based recommender system for digital library (Zan Huang, Wingyan Chung, Thian-Huat Ong, Hsinchun Chen) - The effects of topic familiarity on information search behavior (Diane Kelly, Colleen Cool) SESSION: Classification and browsing A language modelling approach to relevance profiling for document browsing (David J. Harper, Sara Coulthard, Sun Yixing) - Compound descriptors in context: a matching function for classifications and thesauri (Douglas Tudhope, Ceri Binding, Dorothee Blocks, Daniel Cunliffe) - Structuring keyword-based queries for web databases (Rodrigo C. Vieira, Pavel Calado, Altigran S. da Silva, Alberto H. F. Laender, Berthier A. Ribeiro-Neto) - An approach to automatic classification of text for information retrieval (Hong Cui, P. Bryan Heidorn, Hong Zhang)
SESSION: A digital libraries for education Middle school children's use of the ARTEMIS digital library (June Abbas, Cathleen Norris, Elliott Soloway) - Partnership reviewing: a cooperative approach for peer review of complex educational resources (John Weatherley, Tamara Sumner, Michael Khoo, Michael Wright, Marcel Hoffmann) - A digital library for geography examination resources (Lian-Heong Chua, Dion Hoe-Lian Goh, Ee-Peng Lim, Zehua Liu, Rebecca Pei-Hui Ang) - Digital library services for authors of learning materials (Flora McMartin, Youki Terada) SESSION: Novel search environments Integration of simultaneous searching and reference linking across bibliographic resources on the web (William H. Mischo, Thomas G. Habing, Timothy W. Cole) - Exploring discussion lists: steps and directions (Paula S. Newman) - Comparison of two approaches to building a vertical search tool: a case study in the nanotechnology domain (Michael Chau, Hsinchun Chen, Jialun Qin, Yilu Zhou, Yi Qin, Wai-Ki Sung, Daniel McDonald) SESSION: Video and multimedia digital libraries A multilingual, multimodal digital video library system (Michael R. Lyu, Edward Yau, Sam Sze) - A digital library data model for music (Natalia Minibayeva, Jon W. Dunn) - Video-cuebik: adapting image search to video shots (Alexander G. Hauptmann, Norman D. Papernick) - Virtual multimedia libraries built from the web (Neil C. Rowe) - Multi-modal information retrieval from broadcast video using OCR and speech recognition (Alexander G. Hauptmann, Rong Jin, Tobun Dorbin Ng) SESSION: OAI application Extending SDARTS: extracting metadata from web databases and interfacing with the open archives initiative (Panagiotis G. Ipeirotis, Tom Barry, Luis Gravano) - Using the open archives initiative protocols with EAD (Christopher J. Prom, Thomas G. Habing) - Preservation and transition of NCSTRL using an OAI-based architecture (H. Anan, X. Liu, K. Maly, M. Nelson, M. Zubair, J. C. French, E. Fox, P. Shivakumar) - Integrating harvesting into digital library content (David A. Smith, Anne Mahoney, Gregory Crane) SESSION: Searching across language, time, and space Harvesting translingual vocabulary mappings for multilingual digital libraries (Ray R. Larson, Fredric Gey, Aitao Chen) - Detecting events with date and place information in unstructured text (David A. Smith) - Using sharable ontology to retrieve historical images (Von-Wun Soo, Chen-Yu Lee, Jaw Jium Yeh, Ching-chih Chen) - Towards an electronic variorum edition of Cervantes' Don Quixote:: visualizations that support preparation (Rajiv Kochumman, Carlos Monroy, Richard Furuta, Arpita Goenka, Eduardo Urbina, Erendira Melgoza)
SESSION: NSDL Core services in the architecture of the national science digital library (NSDL) (Carl Lagoze, William Arms, Stoney Gan, Diane Hillmann, Christopher Ingram, Dean Krafft, Richard Marisa, Jon Phipps, John Saylor, Carol Terrizzi, Walter Hoehn, David Millman, James Allan, Sergio Guzman-Lara, Tom Kalt) - Creating virtual collections in digital libraries: benefits and implementation issues (Gary Geisler, Sarah Giersch, David McArthur, Marty McClelland) - Ontology services for curriculum development in NSDL (Amarnath Gupta, Bertram Ludäscher, Reagan W. Moore) - Interactive digital library resource information system: a web portal for digital library education (Ahmad Rafee Che Kassim, Thomas R. Kochtanek) SESSION: Digital library communities and change Cross-cultural usability of the library metaphor (Elke Duncker) - Trust and epistemic communities in biodiversity data sharing (Nancy A. Van House) - Evaluation of digital community information systems (K. T. Unruh, K. E. Pettigrew, J. C. Durrance) - Adapting digital libraries to continual evolution (Bruce R. Barkstrom, Melinda Finch, Michelle Ferebee, Calvin Mackey) SESSION: Models and tools for generating digital libraries Localizing experience of digital content via structural metadata (Naomi Dushay) - Collection synthesis (Donna Bergmark) - 5SL: a language for declarative specification and generation of digital libraries (Marcos André, Gonçalves, Edward A. Fox) SESSION: Novel user interfaces A digital library of conversational expressions: helping profoundly disabled users communicate (Hayley Dunlop, Sally Jo Cunningham, Matt Jones) - Enhancing the ENVISION interface for digital libraries (Jun Wang, Abhishek Agrawal, Anil Bazaza, Supriya Angle, Edward A. Fox, Chris North) - A wearable digital library of personal conversations (Wei-hao Lin, Alexander G. Hauptmann) - Collaborative visual interfaces to digital libraries (Katy Börner, Ying Feng, Tamara McMahon) - Binding browsing and reading activities in a 3D digital library (Pierre Cubaud, Pascal Stokowski, Alexandre Topol)
SESSION: Federating and harvesting metadata DP9: an OAI gateway service for web crawlers (Xiaoming Liu, Kurt Maly, Mohammad Zubair, Michael L. Nelson) - The Greenstone plugin architecture (Ian H. Witten, David Bainbridge, Gordon Paynter, Stefan Boddie) - Building FLOW: federating libraries on the web (Anna Keller Gold, Karen S. Baker, Jean-Yves LeMeur, Kim Baldridge) - JAFER ToolKit project: interfacing Z39.50 and XML (Antony Corfield, Matthew Dovey, Richard Mawby, Colin Tatham) - Schema extraction from XML collections (Boris Chidlovskii) - Mirroring an OAI archive on the I2-DSI channel (Ashwini Pande, Malini Kothapalli, Ryan Richardson, Edward A. Fox) SESSION: Music digital libraries HMM-based musical query retrieval (Jonah Shifrin, Bryan Pardo, Colin Meek, William Birmingham) - A comparison of melodic database retrieval techniques using sung queries (Ning Hu, Roger B. Dannenberg) - Enhancing access to the levy sheet music collection: reconstructing full-text lyrics from syllables (Brian Wingenroth, Mark Patton, Tim DiLauro) - Evaluating automatic melody segmentation aimed at music information retrieval (Massimo Melucci, Nicola Orio) SESSION: Preserving, securing, and assessing digital libraries A methodology and system for preserving digital data (Raymond A. Lorie) - Modeling web data (James C. French) - An evaluation model for a digital library services tool (Jim Dorward, Derek Reinke, Mimi Recker) - Why watermark?: the copyright need for an engineering solution (Michael Seadle, J. R. Deller, Jr., Aparna Gurijala) SESSION: Image and cultural digital libraries Time as essence for photo browsing through personal digital libraries (Adrian Graham, Hector Garcia-Molina, Andreas Paepcke, Terry Winograd) - Toward a distributed terabyte text retrieval system in China-US million book digital library (Bin Liu, Wen Gao, Ling Zhang, Tie-jun Huang, Xiao-ming Zhang, Jun Cheng) - Enhanced perspectives for historical and cultural documentaries using informedia technologies (Howard D. Wactlar, Ching-chih Chen) - Interfaces for palmtop image search (Mark Derthick)