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Information Retrieval And Management


Information Retrieval And Management
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Information Retrieval And Management


Information Retrieval And Management
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Author : Information Reso Management Association
language : en
Publisher:
Release Date : 2018-01-23

Information Retrieval And Management written by Information Reso Management Association and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-23 with categories.




Multimedia Information Retrieval And Management


Multimedia Information Retrieval And Management
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Author : David Feng
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17

Multimedia Information Retrieval And Management written by David Feng and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Technology & Engineering categories.


Multimedia information technologies, which provide comprehensive and intuitive information for a broad range of applications, have a strong impact on modem life, and have changed our way of learning and thinking. Over the past two decades, there has been an explosive growth in the use of digital multimedia (including audio, video, images and graphics) over the Internet and wireless communication. As the use of digital multimedia increases, effective data storage and management become increasingly important. In fields which use large quantities of data (e. g. audio, video, image and digital libraries; geographical and medical image databases; etc), we need to minimize the volume of data stored while meeting the often conflicting demand for accurate data representation. In addition, the data need to be managed such that it facilitates efficient searching, browsing and cooperative work. This area has been a very active research area in recent years. This book will provide readers with an up-to-date and comprehensive picture of cutting edge technologies in multimedia information retrieval and management, which directly affect our industry, economy and social life The book is divided into two major parts: Technological Fundamentals which covers the core theories of the area; and Applications which describes the broad range of practical uses for this technology.



Understanding Information Retrieval Systems


Understanding Information Retrieval Systems
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Author : Marcia J. Bates
language : en
Publisher: CRC Press
Release Date : 2011-12-20

Understanding Information Retrieval Systems written by Marcia J. Bates and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-20 with Business & Economics categories.


In order to be effective for their users, information retrieval (IR) systems should be adapted to the specific needs of particular environments. The huge and growing array of types of information retrieval systems in use today is on display in Understanding Information Retrieval Systems: Management, Types, and Standards, which addresses over 20 typ



Information Retrieval


Information Retrieval
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Author : Ayse Goker
language : en
Publisher: John Wiley & Sons
Release Date : 2009-12-15

Information Retrieval written by Ayse Goker and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-15 with Technology & Engineering categories.


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.



Introduction To Information Retrieval


Introduction To Information Retrieval
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Author : Christopher D. Manning
language : en
Publisher: Cambridge University Press
Release Date : 2008-07-07

Introduction To Information Retrieval written by Christopher D. Manning and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-07 with Computers categories.


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.



Information Retrieval And Hypertext


Information Retrieval And Hypertext
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Author : Maristella Agosti
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Information Retrieval And Hypertext written by Maristella Agosti and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


Information Retrieval (IR) has concentrated on the development of information management systems to support user retrieval from large collections of homogeneous textual material. A variety of approaches have been tried and tested with varying degrees of success over many decades of research. Hypertext (HT) systems, on the other hand, provide a retrieval paradigm based on browsing through a structured information space, following pre-defined connections between information fragments until an information need is satisfied, or appears to be. Information Retrieval and Hypertext addresses the confluence of the areas of IR and HT and explores the work done to date in applying techniques from one area, to the other leading to the development of `hypertext information retrieval' (HIR) systems. An important aspect of the work in IR/HT and in any user-centred information system is the emergence of multimedia information and such multimedia information istreated as an integral information type in this text. The contributed chapters cover the development of integrated hypertext information retrieval models, and the application of IR and HT techniques in hypertext construction and the approaches that can be taken in searching HIR systems. These chapters are complemented by two overview chapters covering, respectively, information retrieval and hypertext research and developments. Information Retrieval and Hypertext is important as it is the first text to directly address the combined searching/browsing paradigm of information discovery which is becoming so important in modern computing environments. It will be of interest to researchers and professionals working in a range of areas related to information discovery.



Information Retrieval And Management Concepts Methodologies Tools And Applications


Information Retrieval And Management Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2018-01-05

Information Retrieval And Management Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-05 with Computers categories.


With the increased use of technology in modern society, high volumes of multimedia information exists. It is important for businesses, organizations, and individuals to understand how to optimize this data and new methods are emerging for more efficient information management and retrieval. Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material in the field of information and communication technologies and explores how complex information systems interact with and affect one another. Highlighting a range of topics such as knowledge discovery, semantic web, and information resources management, this multi-volume book is ideally designed for researchers, developers, managers, strategic planners, and advanced-level students.



Multimedia Information Retrieval


Multimedia Information Retrieval
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Author : Roberto Raieli
language : en
Publisher: Elsevier
Release Date : 2013-07-31

Multimedia Information Retrieval written by Roberto Raieli and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-31 with Business & Economics categories.


Novel processing and searching tools for the management of new multimedia documents have developed. Multimedia Information Retrieval (MIR) is an organic system made up of Text Retrieval (TR); Visual Retrieval (VR); Video Retrieval (VDR); and Audio Retrieval (AR) systems. So that each type of digital document may be analysed and searched by the elements of language appropriate to its nature, search criteria must be extended. Such an approach is known as the Content Based Information Retrieval (CBIR), and is the core of MIR. This novel content-based concept of information handling needs to be integrated with more traditional semantics. Multimedia Information Retrieval focuses on the tools of processing and searching applicable to the content-based management of new multimedia documents. Translated from Italian by Giles Smith, the book is divided into two parts. Part one discusses MIR and related theories, and puts forward new methodologies; part two reviews various experimental and operating MIR systems, and presents technical and practical conclusions. - Gives a complete, organic picture of MIR and CBIR - Proposes a novel conceptualisation around the ideas of Information Retrieval (IR) and digital document management in the context of Library and Information Science (LIS) - Relevant for both library and information science and information technology specialists



Information Retrieval Uncertainty And Logics


Information Retrieval Uncertainty And Logics
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Author : Cornelis Joost van Rijsbergen
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Information Retrieval Uncertainty And Logics written by Cornelis Joost van Rijsbergen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


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.



Social Information Retrieval Systems Emerging Technologies And Applications For Searching The Web Effectively


Social Information Retrieval Systems Emerging Technologies And Applications For Searching The Web Effectively
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Author : Goh, Dion
language : en
Publisher: IGI Global
Release Date : 2007-10-31

Social Information Retrieval Systems Emerging Technologies And Applications For Searching The Web Effectively written by Goh, Dion and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-31 with Business & Economics categories.


The wealth of information accessible on the Internet has grown exponentially since its advent. This mass of content must be systemically sifted to glean pertinent data, and the utilization of the collective intelligence of other users, or social information retrieval, is an innovative, emerging technique. Social Information Retrieval Systems: Emerging Technologies & Applications for Searching the Web Effectively provides relevant content in the areas of information retrieval systems, services, and research; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, and collaborative filtering. Answering the increasing demand for authoritative resources on Internet technologies, this Premier Reference Source will make an indispensable addition to any library collection.