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Author: G G Chowdhury
Publisher: New Age International
ISBN: 9788122407600
Category : Database management
Languages : en
Pages : 238
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Book Description
This Book Aims At Helping The Reader Develop A Clear Under- Standing Of Text Retrieval Systems, Including Its Nature And Characteristics; Steps To Be Followed In Developing A Text Retrieval System; Software Packages Available For The Purpose; Guidelines For Choosing An Appropriate Software, And So On. To Make The Text Suitable For All Kinds Of Readers, Chapters And The Basics Of Database Technology, Database Management, And File Structures Appropriate For Text Retrieval Systems Have Been Provided. This Book Also Discusses The Major Features Of Library Management Systems (Lmss), The Software Packages Used For Automating Library House-Keeping Operations.The Trend Is To Developing Systems Which Can Provide The Actual Information Sought By The Use Rather Than Reference To The Information Sources Or Part Of The Text Where The Search Term Appears. Such Systems Apply Expert Systems And Natural Language Processing Techniques, And Are Called Knowledge-Based Systems (Kbss). This Book Describes Features Of These Systems And Mentions Some Of The Applications Of Kbss In Library And Information Activities.
Author: G G Chowdhury
Publisher: New Age International
ISBN: 9788122407600
Category : Database management
Languages : en
Pages : 238
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Book Description
This Book Aims At Helping The Reader Develop A Clear Under- Standing Of Text Retrieval Systems, Including Its Nature And Characteristics; Steps To Be Followed In Developing A Text Retrieval System; Software Packages Available For The Purpose; Guidelines For Choosing An Appropriate Software, And So On. To Make The Text Suitable For All Kinds Of Readers, Chapters And The Basics Of Database Technology, Database Management, And File Structures Appropriate For Text Retrieval Systems Have Been Provided. This Book Also Discusses The Major Features Of Library Management Systems (Lmss), The Software Packages Used For Automating Library House-Keeping Operations.The Trend Is To Developing Systems Which Can Provide The Actual Information Sought By The Use Rather Than Reference To The Information Sources Or Part Of The Text Where The Search Term Appears. Such Systems Apply Expert Systems And Natural Language Processing Techniques, And Are Called Knowledge-Based Systems (Kbss). This Book Describes Features Of These Systems And Mentions Some Of The Applications Of Kbss In Library And Information Activities.
Author: Marcia J. Bates
Publisher: CRC Press
ISBN: 1439891990
Category : Business & Economics
Languages : en
Pages : 734
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Book Description
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
Author: ChengXiang Zhai
Publisher: Morgan & Claypool
ISBN: 1970001186
Category : Computers
Languages : en
Pages : 634
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Book Description
Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. Unlike data generated by a computer system or sensors, text data are usually generated directly by humans, and are accompanied by semantically rich content. As such, text data are especially valuable for discovering knowledge about human opinions and preferences, in addition to many other kinds of knowledge that we encode in text. In contrast to structured data, which conform to well-defined schemas (thus are relatively easy for computers to handle), text has less explicit structure, requiring computer processing toward understanding of the content encoded in text. The current technology of natural language processing has not yet reached a point to enable a computer to precisely understand natural language text, but a wide range of statistical and heuristic approaches to analysis and management of text data have been developed over the past few decades. They are usually very robust and can be applied to analyze and manage text data in any natural language, and about any topic. This book provides a systematic introduction to all these approaches, with an emphasis on covering the most useful knowledge and skills required to build a variety of practically useful text information systems. The focus is on text mining applications that can help users analyze patterns in text data to extract and reveal useful knowledge. Information retrieval systems, including search engines and recommender systems, are also covered as supporting technology for text mining applications. The book covers the major concepts, techniques, and ideas in text data mining and information retrieval from a practical viewpoint, and includes many hands-on exercises designed with a companion software toolkit (i.e., MeTA) to help readers learn how to apply techniques of text mining and information retrieval to real-world text data and how to experiment with and improve some of the algorithms for interesting application tasks. The book can be used as a textbook for a computer science undergraduate course or a reference book for practitioners working on relevant problems in analyzing and managing text data.
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1522551921
Category : Computers
Languages : en
Pages : 2373
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Book Description
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.
Author: David Haynes
Publisher: Facet Publishing
ISBN: 1856044890
Category : Computers
Languages : en
Pages : 201
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Book Description
What is metadata and what do I need to know about it? These are two key questions for the information professional operating in the digital age as more and more information resources are available in electronic format. This is a thought-provoking introduction to metadata written by one of its leading advocates. It assesses the current theory and practice of metadata and examines key developments - including global initiatives and multilingual issues - in terms of both policy and technology. Subjects discussed include: What is metadata? definitions and concepts Retrieval environments: web; library catalogues; documents and records management; GIS; e-Learning Using metadata to enhance retrieval: pointing to content; subject retrieval; language control and indexing Information management issues: interoperability; information security; authority control; authentication and legal admissibility of evidence; records management and document lifecyc≤ preservation issues Application of metadata to information management: document and records management; content management systems for the internet Managing metadata: how to develop a schema Standards development: Dublin Core; UK Government metadata standards (eGIF); IFLA FRBR Model for cataloguing resources Looking forward: the semantic web; the Web Ontology Working Group. Readership: This book will be essential reading for network-oriented librarians and information workers in all sectors and for LIS students. In addition, it will provide useful background reading for computer staff supporting information services. Publishers, policy makers and practitioners in other curatorial traditions such as museums work or archiving will also find much of relevance.
Author: Cornelis Joost van Rijsbergen
Publisher: Springer Science & Business Media
ISBN: 1461556171
Category : Computers
Languages : en
Pages : 332
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Book Description
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: Roberto Raieli
Publisher: Elsevier
ISBN: 1780633882
Category : Business & Economics
Languages : en
Pages : 377
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Book Description
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
Author: Christopher D. Manning
Publisher: Cambridge University Press
ISBN: 1139472100
Category : Computers
Languages : en
Pages :
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Book Description
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: Ayse Goker
Publisher: John Wiley & Sons
ISBN: 9780470033630
Category : Technology & Engineering
Languages : en
Pages : 320
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Book Description
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.
Author: Dagobert Soergel
Publisher: Morgan Kaufmann
ISBN: 9780126542615
Category : Computers
Languages : en
Pages : 468
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Book Description
Information science, textbook on the theory of information systems, esp. Data base conception and information retrieval methodology - covers systems analysis approaches, data structures, thesaurus construction, indexing, search strategies, etc. Annotated bibliography, illustrations.
