Information Process And Retrieval
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Information Process And Retrieval
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Author : C.K. Sharma & A.K. Sharma
language : en
Publisher: Atlantic Publishers & Dist
Release Date : 2007
Information Process And Retrieval written by C.K. Sharma & A.K. Sharma and has been published by Atlantic Publishers & Dist this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Information organization categories.
It Is Now Being Increasingly Felt That Information Technology Is A Major Facilitator And Catalyst For Accelerating Growth Of The Economy. It Has Integrated The World By The Use Of Internet. The Pervasive Influence Of Information Technology Is So Strong That There Is Hardly Any Sphere Of Human Life In Which It Has Not Been Able To Make A Niche For Itself. Accordingly, The Present-Day World Expects From Everyone To Possess At Least Some Acquaintance With This Technology.The Present Book Is Primarily About Computer-Based Retrieval Systems And Its Objective Is To Teach The Basics Of Retrieval Systems And Its Working. Information Retrieval Is A Communication Process That Links The Information User To A Librarian. The Communication Normally Involves The Processing Of Text. An In-Depth Study Of The Present Book Will Acquaint The Readers With This Technology. It Is A Complete Treatise On Information Process That Includes Indexing, Abstracting, Citation Indexing, Bibliometrics, Webometrics, And Greenstone Software. In Addition, It Provides A Detailed Study On Application Of Iso-9000 In The Libraries, Essence Of Tqm, Resource Sharing Through Networks, E-Books And Governance Of Intranet. Apart From These, It Analytically Approaches To Information Technology As A Revolution In Higher Education And Its Impacts.The Present Book Is Extremely Useful For All Computer Users In General And Those Concerned With Libraries And Library Science In Particular.
Knowledge Organisation Information Processing And Retrieval
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Author : Fernand Qunicy
language : en
Publisher:
Release Date : 2016-08
Knowledge Organisation Information Processing And Retrieval written by Fernand Qunicy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08 with categories.
Literally Knowledge Organisation is the organisation of knowledge. This organisation is made in order to facilitate the use of documents or recorded knowledge (or other units). Information or knowledge management is essentially a four-step process that includes capturing, organising, refining and disseminating information. The process begins with the capturing of information relevant to the activities and interests of people in an organisation. Such information may be available in a variety of sources, forms and formats. Once information is captured, it needs to be organised using a number of techniques that include cataloguing and indexing, retrieving, filtering, ranking, and so on. Efficiency of an information access system depends largely on the proper organisation of information. Information processing is the acquisition, recording, organisation, retrieval, display, and dissemination of information. Over the years, information science researchers and practitioners have developed and used various techniques for organising information resources of different types. However, off late, with the introduction of information and communication technologies several sophisticated systems have been developed for organisation of information. Libraries and information services have a long history of using various tools for organising information resources. Knowledge Organisation, Information Processing and Retrieval focuses on the various bibliographic and information retrieval tools and techniques used for information organisation, a key activity in a knowledge management process. The book begins with the existing debate on the very concept of knowledge management, and looks at some recent papers and arguments on this issue. It then briefly discusses how some projects over the past decade or so have used various traditional bibliographic organisation tools for providing access to electronic resources.
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.
Information Process And Retrieval
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Author : C.K. Sharma
language : en
Publisher:
Release Date : 2007-01-01
Information Process And Retrieval written by C.K. Sharma and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-01 with categories.
It is now being increasingly felt that information technology is a major facilitator and catalyst for accelerating growth of the economy. It has integrated the world by the use of internet. The pervasive influence of information technology is so strong th
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 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.
Information Representation And Retrieval In The Digital Age
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Author : Heting Chu
language : en
Publisher: Information Today, Inc.
Release Date : 2003
Information Representation And Retrieval In The Digital Age written by Heting Chu and has been published by Information Today, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.
Information representation and retrieval : an overview -- Information representation I : basic approaches -- Information representation II : other 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.
Information Storage And Retrieval Systems
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Author : Gerald J. Kowalski
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-11-19
Information Storage And Retrieval Systems written by Gerald J. Kowalski 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 2005-11-19 with Computers categories.
Chapter 1 places into perspective a total Information Storage and Retrieval System. This perspective introduces new challenges to the problems that need to be theoretically addressed and commercially implemented. Ten years ago commercial implementation of the algorithms being developed was not realistic, allowing theoreticians to limit their focus to very specific areas. Bounding a problem is still essential in deriving theoretical results. But the commercialization and insertion of this technology into systems like the Internet that are widely being used changes the way problems are bounded. From a theoretical perspective, efficient scalability of algorithms to systems with gigabytes and terabytes of data, operating with minimal user search statement information, and making maximum use of all functional aspects of an information system need to be considered. The dissemination systems using persistent indexes or mail files to modify ranking algorithms and combining the search of structured information fields and free text into a consolidated weighted output are examples of potential new areas of investigation. The best way for the theoretician or the commercial developer to understand the importance of problems to be solved is to place them in the context of a total vision of a complete system. Understanding the differences between Digital Libraries and Information Retrieval Systems will add an additional dimension to the potential future development of systems. The collaborative aspects of digital libraries can be viewed as a new source of information that dynamically could interact with information retrieval techniques.
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 types of IR systems. These various system types, in turn, present both technical and management challenges, which are also addressed in this volume. In order to be interoperable in a networked environment, IR systems must be able to use various types of technical standards, a number of which are described in this book—often by their original developers. The book covers the full context of operational IR systems, addressing not only the systems themselves but also human user search behaviors, user-centered design, and management and policy issues. In addition to theory and practice of IR system design, the book covers Web standards and protocols, the Semantic Web, XML information retrieval, Web social mining, search engine optimization, specialized museum and library online access, records compliance and risk management, information storage technology, geographic information systems, and data transmission protocols. Emphasis is given to information systems that operate on relatively unstructured data, such as text, images, and music. The book is organized into four parts: Part I supplies a broad-level introduction to information systems and information retrieval systems Part II examines key management issues and elaborates on the decision process around likely information system solutions Part III illustrates the range of information retrieval systems in use today discussing the technical, operational, and administrative issues for each type Part IV discusses the most important organizational and technical standards needed for successful information retrieval This volume brings together authoritative articles on the different types of information systems and how to manage real-world demands such as digital asset management, network management, digital content licensing, data quality, and information system failures. It explains how to design systems to address human characteristics and considers key policy and ethical issues such as piracy and preservation. Focusing on web–based systems, the chapters in this book provide an excellent starting point for developing and managing your own IR systems.
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.