Search (17 results, page 1 of 1)

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Content

Enthält u.a. die Beiträge: Fugmann, R.: Learning the lessons of the past; Davis, C.H.: Indexing and index editing at Chemical Abstracts before the Registry System; Roe , E.M.: Abstracts and indexes to branded full text: what's in a name?; Lynch, M.F.: Introduction of computers in chemical structure information systems, or what is not recorded in the annals; Baatz, S.: Medical science and medical informatics: The visible human project, 1986-2000.

LCSH

Information storage and retrieval systems / Congresses / Science / History
Information storage and retrieval systems / Congresses / Technology / History

Subject

Information storage and retrieval systems / Congresses / Science / History
Information storage and retrieval systems / Congresses / Technology / History

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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.'

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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.

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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."

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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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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.

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Footnote

Rez. in: Publishers Weekly. May 2007: "In a high-minded twist on the Internet-has-changed-everything book, Weinberger (Small Pieces Loosely Joined) joins the ranks of social thinkers striving to construct new theories around the success of Google and Wikipedia. Organization or, rather, lack of it, is the key: the author insists that "we have to get rid of the idea that there's a best way of organizing the world." Building on his earlier works' discussions of the Internet-driven shift in power to users and consumers, Weinberger notes that "our homespun ways of maintaining order are going to break-they're already breaking-in the digital world." Today's avalanche of fresh information, Weinberger writes, requires relinquishing control of how we organize pretty much everything; he envisions an ever-changing array of "useful, powerful and beautiful ways to make sense of our world." Perhaps carried away by his thesis, the author gets into extended riffs on topics like the history of classification and the Dewey Decimal System. At the point where readers may want to turn his musings into strategies for living or doing business, he serves up intriguing but not exactly helpful epigrams about "the third order of order" and "useful miscellaneousness." But the book's call to embrace complexity will influence thinking about "the newly miscellanized world.""

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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.

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Date

22. 3.2008 14:35:21

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Date

22. 3.2008 14:29:25

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Date

22. 3.2008 16:15:37

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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)

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006.7 22

Date

7. 3.2007 19:30:22

DDC

006.7 22

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Date

22. 3.2008 18:05:16

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Date

23. 3.2008 19:10:22