Document Retrieval Index

Author : Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze
Publisher : Cambridge University Press
Page : 128 pages
File Size : 49,9 Mb
Release : 2008-07-07
Category : Computers
ISBN : 9781139472104

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Introduction to Information Retrieval by Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze Pdf

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

Author : Karen Sparck Jones,Peter Willett
Publisher : Morgan Kaufmann
Page : 614 pages
File Size : 53,7 Mb
Release : 1997
Category : Computers
ISBN : 1558604545

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Readings in Information Retrieval by Karen Sparck Jones,Peter Willett Pdf

This compilation of original papers on information retrieval presents an overview, covering both general theory and specific methods, of the development and current status of information retrieval systems. Each chapter contains several papers carefully chosen to represent substantive research work that has been carried out in that area, each is preceded by an introductory overview and followed by supported references for further reading.

Author : Gerard Salton,Michael J. McGill
Publisher : New York ; Montreal : McGraw-Hill
Page : 470 pages
File Size : 47,9 Mb
Release : 1983
Category : Computers
ISBN : UOM:39015035282485

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Introduction to Modern Information Retrieval by Gerard Salton,Michael J. McGill Pdf

Examines Concepts, Functions & Processes of Information Retrieval Systems

Author : Anonim
Publisher : Unknown
Page : 640 pages
File Size : 45,6 Mb
Release : 1972
Category : Criminal justice, Administration of
ISBN : UOM:39015055037413

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Document Retrieval Index by Anonim Pdf

Author : Ling Liu,M. Tamer Özsu
Publisher : Unknown
Page : 128 pages
File Size : 43,5 Mb
Release : 2024-05-17
Category : Database management
ISBN : 148997993X

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Encyclopedia of Database Systems by Ling Liu,M. Tamer Özsu Pdf

Author : Yates
Publisher : Pearson Education India
Page : 540 pages
File Size : 42,9 Mb
Release : 1999-09
Category : Electronic
ISBN : 8131709779

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Modern Information Retrieval by Yates Pdf

Author : Diane Rasmussen Neal
Publisher : Walter de Gruyter
Page : 440 pages
File Size : 45,7 Mb
Release : 2012-10-30
Category : Language Arts & Disciplines
ISBN : 9783110260588

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Indexing and Retrieval of Non-Text Information by Diane Rasmussen Neal Pdf

The scope of this volume will encompass a collection of research papers related to indexing and retrieval of online non-text information. In recent years, the Internet has seen an exponential increase in the number of documents placed online that are not in textual format. These documents appear in a variety of contexts, such as user-generated content sharing websites, social networking websites etc. and formats, including photographs, videos, recorded music, data visualizations etc. The prevalence of these contexts and data formats presents a particularly challenging task to information indexing and retrieval research due to many difficulties, such as assigning suitable semantic metadata, processing and extracting non-textual content automatically, and designing retrieval systems that "speak in the native language" of non-text documents.

Author : Cornelis Joost van Rijsbergen,Fabio Crestani,Mounia Lalmas
Publisher : Springer Science & Business Media
Page : 332 pages
File Size : 54,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461556176

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Information Retrieval: Uncertainty and Logics by Cornelis Joost van Rijsbergen,Fabio Crestani,Mounia Lalmas Pdf

In recent years, there have been several attempts to define a logic for information retrieval (IR). The aim was to provide a rich and uniform representation of information and its semantics with the goal of improving retrieval effectiveness. The basis of a logical model for IR is the assumption that queries and documents can be represented effectively by logical formulae. To retrieve a document, an IR system has to infer the formula representing the query from the formula representing the document. This logical interpretation of query and document emphasizes that relevance in IR is an inference process. The use of logic to build IR models enables one to obtain models that are more general than earlier well-known IR models. Indeed, some logical models are able to represent within a uniform framework various features of IR systems such as hypermedia links, multimedia data, and user's knowledge. Logic also provides a common approach to the integration of IR systems with logical database systems. Finally, logic makes it possible to reason about an IR model and its properties. This latter possibility is becoming increasingly more important since conventional evaluation methods, although good indicators of the effectiveness of IR systems, often give results which cannot be predicted, or for that matter satisfactorily explained. However, logic by itself cannot fully model IR. The success or the failure of the inference of the query formula from the document formula is not enough to model relevance in IR. It is necessary to take into account the uncertainty inherent in such an inference process. In 1986, Van Rijsbergen proposed the uncertainty logical principle to model relevance as an uncertain inference process. When proposing the principle, Van Rijsbergen was not specific about which logic and which uncertainty theory to use. As a consequence, various logics and uncertainty theories have been proposed and investigated. The choice of an appropriate logic and uncertainty mechanism has been a main research theme in logical IR modeling leading to a number of logical IR models over the years. Information Retrieval: Uncertainty and Logics contains a collection of exciting papers proposing, developing and implementing logical IR models. This book is appropriate for use as a text for a graduate-level course on Information Retrieval or Database Systems, and as a reference for researchers and practitioners in industry.

Author : A. N. K. Zaman
Publisher : Unknown
Page : 0 pages
File Size : 50,9 Mb
Release : 2010
Category : Information retrieval
ISBN : OCLC:1330571799

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Study of Document Retrieval Using Latent Semantic Indexing (LSI) on a Very Large Data Set by A. N. K. Zaman Pdf

"The primary purpose of an information retrieval system is to retrieve all the relevant documents, which are relevant to the user query. The Latent Semantic Indexing (LSI) based ad hoc document retrieval task investigates the performance of retrieval systems that search a static set of documents using new questions/queries. Performance of LSI has been tested for several smaller datasets (e.g., MED, CISI abstracts etc) however, LSI has not been tested for a large dataset. In this research, we concentrated on the performance of LSI on large dataset. Stop word list and term weighting schemes are two key parameters in the area of information retrieval. We investigated the performance of LSI by using three different set of stop word lists and, also, without removing the stop words from the test collection. We also applied three different term-weighting (raw term frequency, log-entropy, and tf-idf) schemes to measure retrieval performance of LSI. We observed that, firstly, for a LSI based ad hoc information retrieval system, a tailored stop word list must be assembled for every unique large dataset. Secondly, the use of tf-idf term weighting scheme shows better retrieval performance than log-entropy and raw term frequency weighting schemes even when the test collection became large."--P. ii.

Author : W. Bruce Croft,John Lafferty
Publisher : Springer Science & Business Media
Page : 253 pages
File Size : 52,5 Mb
Release : 2013-04-17
Category : Computers
ISBN : 9789401701716

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Language Modeling for Information Retrieval by W. Bruce Croft,John Lafferty Pdf

A statisticallanguage model, or more simply a language model, is a prob abilistic mechanism for generating text. Such adefinition is general enough to include an endless variety of schemes. However, a distinction should be made between generative models, which can in principle be used to synthesize artificial text, and discriminative techniques to classify text into predefined cat egories. The first statisticallanguage modeler was Claude Shannon. In exploring the application of his newly founded theory of information to human language, Shannon considered language as a statistical source, and measured how weH simple n-gram models predicted or, equivalently, compressed natural text. To do this, he estimated the entropy of English through experiments with human subjects, and also estimated the cross-entropy of the n-gram models on natural 1 text. The ability of language models to be quantitatively evaluated in tbis way is one of their important virtues. Of course, estimating the true entropy of language is an elusive goal, aiming at many moving targets, since language is so varied and evolves so quickly. Yet fifty years after Shannon's study, language models remain, by all measures, far from the Shannon entropy liInit in terms of their predictive power. However, tbis has not kept them from being useful for a variety of text processing tasks, and moreover can be viewed as encouragement that there is still great room for improvement in statisticallanguage modeling.

Author : David A. Grossman,Ophir Frieder
Publisher : Springer Science & Business Media
Page : 344 pages
File Size : 55,7 Mb
Release : 2012-11-12
Category : Computers
ISBN : 9781402030055

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Information Retrieval by David A. Grossman,Ophir Frieder Pdf

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 retrieval design and implementation questions. 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. 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.

Author : Juha Kärkkäinen,Jens Stoye
Publisher : Springer
Page : 0 pages
File Size : 49,9 Mb
Release : 2012-06-22
Category : Computers
ISBN : 3642312640

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Combinatorial Pattern Matching by Juha Kärkkäinen,Jens Stoye Pdf

This book constitutes the refereed proceedings of the 23rd Annual Symposium on Combinatorial Pattern Matching, CPM 2012, held in Helsinki, Finland, in July 2012. The 33 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 60 submissions. The papers address issues of searching and matching strings and more complicated patterns such as trees, regular expressions, graphs, point sets, and arrays. The goal is to derive non-trivial combinatorial properties of such structures and to exploit these properties in order to either achieve superior performance for the corresponding computational problems or pinpoint conditions under which searches cannot be performed efficiently. The meeting also deals with problems in computational biology, data compression and data mining, coding, information retrieval, natural language processing, and pattern recognition.

Author : C. J. Van Rijsbergen
Publisher : London ; Toronto : Butterworths
Page : 228 pages
File Size : 50,6 Mb
Release : 1979
Category : Information storage and retrieval systems
ISBN : UOM:39015003713727

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Information Retrieval by C. J. Van Rijsbergen Pdf

"The purpose of this book is to give a thorough introduction to experimental automatic document retrieval. The topics covered broadly correspond to the components of an experimental retrieval system. A substantial amount of space is devoted to describing various formal (sometimes mathematical) models that exist for certain processes and structures in information retrieval. In the treatment of each topic the author starts from first principles and takes the reader through the subject up to developments in current research"--

Author : Ricardo Baeza-Yates,Berthier Ribeiro-Neto
Publisher : Addison Wesley Publishing Company
Page : 548 pages
File Size : 47,7 Mb
Release : 1999
Category : Computers
ISBN : UOM:39015057610548

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Modern Information Retrieval by Ricardo Baeza-Yates,Berthier Ribeiro-Neto Pdf

Modern Information Retrieval is a complete textbook for a first course on information retrieval from a computer science perspective. It includes up-to-date coverage of information retrieval applied to text data and to multimedia.

Author : Frederick Wilfrid Lancaster,Amy J. Warner
Publisher : Arlington, Va. : Information Resources Press
Page : 368 pages
File Size : 51,6 Mb
Release : 1993
Category : Computers
ISBN : UOM:39015029976761

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Information Retrieval Today by Frederick Wilfrid Lancaster,Amy J. Warner Pdf

Published in 1968 and 1979 as Information Retrieval Systems: Characteristics, Testing, and Evaluation, a textbook for a graduate course in library science. Explores the electronic information retrieval systems that are available and how to use them. Annotation copyright by Book News, Inc., Portland, OR