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Modern Information Retrieval

Author : Ricardo Baeza-Yates
ISBN : UOM:39015052313098
Genre : Language Arts & Disciplines
File Size : 82.47 MB
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This is a rigorous and complete textbook for a first course on information retrieval from the computer science (as opposed to a user-centred) perspective. The advent of the Internet and the enormous increase in volume of electronically stored information generally has led to substantial work on IR from the computer science perspective - this book provides an up-to-date student oriented treatment of the subject.
Category: Language Arts & Disciplines

Introduction To Modern Information Retrieval

Author : Gobinda G. Chowdhury
ISBN : 9781856046947
Genre : Information organization
File Size : 62.71 MB
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An information retrieval (IR) system is designed to analyse, process and store sources of information and retrieve those that match a particular user's requirements. A bewildering range of techniques is now available to the information professional attempting to successfully retrieve information. It is recognized that today's information professionals need to concentrate their efforts on learning the techniques of computerized IR. However, it is this book's contention that it also benefits them to learn the theory, techniques and tools that constitute the traditional approaches to the organization and processing of information. In fact much of this knowledge may still be applicable in the storage and retrieval of electronic information in digital library environments. The fully revised third edition of this highly regarded textbook has been thoroughly updated to incorporate major changes in this rapidly expanding field since the second edition in 2004, and a complete new chapter on citation indexing has been added. Unique in its scope, the book covers the whole spectrum of information storage and retrieval, including: users of IR and IR options; database technology; bibliographic formats; cataloguing and metadata; subject analysis and representation; automatic indexing and file organization; vocabulary control; abstracts and indexing; searching and retrieval; user-centred models of IR and user interfaces; evaluation of IR systems and evaluation experiments; online and CD-ROM IR; multimedia IR; hypertext and mark-up languages; web IR; intelligent IR; natural language processing and its applications in IR; citation analysis and IR; IR in digital libraries; and trends in IR research. Illustrated with many examples and comprehensively referenced for an international audience, this is an indispensable textbook for students of library and information studies. It is also an invaluable aid for information practitioners wishing to brush up on their skills and keep up to date with the latest techniques.
Category: Information organization

Modern Information Retrieval

Author : S. K. Bajpai
ISBN : 8170002710
Genre : Information retrieval
File Size : 47.63 MB
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Category: Information retrieval

Knowledge Management And Management Learning

Author : Walter R.J. Baets
ISBN : 0387258191
Genre : Business & Economics
File Size : 58.34 MB
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Knowledge Management and Management Learning: Extending the Horizons of Knowledge-Based Management examines a range of topical considerations in the field by utilizing dynamic and non-linear systems behavior or the complexity paradigm. From this examination have come a number of new and promising relevant extensions to knowledge management and its practice. Many of the topics have been pulled from "real world" situations in actual companies, and therefore these topical treatments reflect quantitative and qualitative research done within the knowledge management framework of actual company experience. Offered are a series of topical treatments that extend the parameters of knowledge management and examine the practical implications of these extensions. The book begins with an extended introduction and theoretical framework. The contributing authors have written chapters that add to both the framework and the practical consequences of knowledge management. Within this context, the book illustrates why and how of knowledge management is important for companies.
Category: Business & Economics

Statistical Language Models For Information Retrieval

Author : Chengxiang Zhai
ISBN : 9781598295917
Genre : Computers
File Size : 51.80 MB
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As online information grows dramatically, search engines such as Google are playing a more and more important role in our lives. Critical to all search engines is the problem of designing an effective retrieval model that can rank documents accurately for a given query. This has been a central research problem in information retrieval for several decades. In the past ten years, a new generation of retrieval models, often referred to as statistical language models, has been successfully applied to solve many different information retrieval problems. Compared with the traditional models such as the vector space model, these new models have a more sound statistical foundation and can leverage statistical estimation to optimize retrieval parameters. They can also be more easily adapted to model non-traditional and complex retrieval problems. Empirically, they tend to achieve comparable or better performance than a traditional model with less effort on parameter tuning. This book systematically reviews the large body of literature on applying statistical language models to information retrieval with an emphasis on the underlying principles, empirically effective language models, and language models developed for non-traditional retrieval tasks. All the relevant literature has been synthesized to make it easy for a reader to digest the research progress achieved so far and see the frontier of research in this area. The book also offers practitioners an informative introduction to a set of practically useful language models that can effectively solve a variety of retrieval problems. No prior knowledge about information retrieval is required, but some basic knowledge about probability and statistics would be useful for fully digesting all the details. Table of Contents: Introduction / Overview of Information Retrieval Models / Simple Query Likelihood Retrieval Model / Complex Query Likelihood Model / Probabilistic Distance Retrieval Model / Language Models for Special Retrieval Tasks / Language Models for Latent Topic Analysis / Conclusions
Category: Computers

The Modern Algebra Of Information Retrieval

Author : Sándor Dominich
ISBN : 3540776591
Genre : Computers
File Size : 71.52 MB
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This book takes a unique approach to information retrieval by laying down the foundations for a modern algebra of information retrieval based on lattice theory. All major retrieval methods developed so far are described in detail, along with Web retrieval algorithms, and the author shows that they all can be treated elegantly in a unified formal way, using lattice theory as the one basic concept. The book’s presentation is characterized by an engineering-like approach.
Category: Computers

Advances In Information Retrieval

Author : Fabrizio Sebastiani
ISBN : 9783540366188
Genre : Language Arts & Disciplines
File Size : 85.96 MB
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The European Conference on Information Retrieval Research, now in its 25th “Silver Jubilee” edition, was initiallyestablished bythe Information Retrieval Specialist Group of the British Computer Society(BCS-IRSG) under the name “Annual Colloquium on Information Retrieval Research,” and was always held in the United Kingdom until 1997. Since 1998 the location of the colloquium has alternated between the United Kingdom and the rest of Europe, in order to re?ect the growing European orientation of the event. For the same reason, in 2001 the event was renamed “European Annual Colloquium on Information Retrieval Research.” Since 2002, the proceedings of the Colloquium have been published bySpringer-Verlag in their Lecture Notes in Computer Science series. In 2003 BCS-IRSG decided to rename the event “European Conference on Information Retrieval Research,” in order to re?ect what the event had slowly turned into, i.e., a full-blown conference with a European program committee, strong peer reviewing, and a (mostly) European audience. However, ECIR still retains the strong student focus that has characterized the Colloquia since their inception: student fees are kept particularlylow, a s- dent travel grant program is available in order to encourage students to attend the conference (and encourage student authors to present their papers pers- ally), and a Best Student Paper Award is assigned (conversely, ECIR has no best paper award).
Category: Language Arts & Disciplines

String Processing And Information Retrieval

Author : Mario A. Nascimento
ISBN : 9783540201779
Genre : Computers
File Size : 81.1 MB
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This book constitutes the refereed proceedings of the 10th International Symposium on String Processing and Information Retrieval, SPIRE 2003, held in Manaus, Brazil, in October 2003. The 21 revised full papers and 6 revised short papers presented together with 2 invited papers were carefully reviewed and selected from 54 submissions. The papers are organized in topical sections on Web algorithms, bit-parallel algorithms, compression, categorization and ranking, music retrieval, multilingual information retrieval, subsequences and distributed algorithms, and algorithms on strings and trees.
Category: Computers

Information Retrieval

Author : Ayse Goker
ISBN : 0470033630
Genre : Technology & Engineering
File Size : 23.64 MB
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This book is an essential reference to cutting-edge issues and future directions in information retrieval Information retrieval (IR) can be defined as the process of representing, managing, searching, retrieving, and presenting information. Good IR involves understanding information needs and interests, developing an effective search technique, system, presentation, distribution and delivery. The increased use of the Web and wider availability of information in this environment led to the development of Web search engines. This change has brought fresh challenges to a wider variety of users’ needs, tasks, and types of information. Today, search engines are seen in enterprises, on laptops, in individual websites, in library catalogues, and elsewhere. Information Retrieval: Searching in the 21st Century focuses on core concepts, and current trends in the field. This book focuses on: Information Retrieval Models User-centred Evaluation of Information Retrieval Systems Multimedia Resource Discovery Image Users’ Needs and Searching Behaviour Web Information Retrieval Mobile Search Context and Information Retrieval Text Categorisation and Genre in Information Retrieval Semantic Search The Role of Natural Language Processing in Information Retrieval: Search for Meaning and Structure Cross-language Information Retrieval Performance Issues in Parallel Computing for Information Retrieval This book is an invaluable reference for graduate students on IR courses or courses in related disciplines (e.g. computer science, information science, human-computer interaction, and knowledge management), academic and industrial researchers, and industrial personnel tracking information search technology developments to understand the business implications. Intermediate-advanced level undergraduate students on IR or related courses will also find this text insightful. Chapters are supplemented with exercises to stimulate further thinking.
Category: Technology & Engineering