Text Retrieval Systems In Information Management

Text Retrieval Systems In Information Management
Author :
Publisher : New Age International
Total Pages : 238
Release :
ISBN-10 : 8122407609
ISBN-13 : 9788122407600
Rating : 4/5 (09 Downloads)

Synopsis Text Retrieval Systems In Information Management by : G G Chowdhury

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.

Text Data Management and Analysis

Text Data Management and Analysis
Author :
Publisher : Morgan & Claypool
Total Pages : 634
Release :
ISBN-10 : 9781970001181
ISBN-13 : 1970001186
Rating : 4/5 (81 Downloads)

Synopsis Text Data Management and Analysis by : ChengXiang Zhai

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.

Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications

Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications
Author :
Publisher : IGI Global
Total Pages : 2373
Release :
ISBN-10 : 9781522551928
ISBN-13 : 1522551921
Rating : 4/5 (28 Downloads)

Synopsis Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

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.

Understanding Information Retrieval Systems

Understanding Information Retrieval Systems
Author :
Publisher : CRC Press
Total Pages : 752
Release :
ISBN-10 : 9781439891995
ISBN-13 : 1439891990
Rating : 4/5 (95 Downloads)

Synopsis Understanding Information Retrieval Systems by : Marcia J. Bates

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

Metadata for Information Management and Retrieval

Metadata for Information Management and Retrieval
Author :
Publisher : Facet Publishing
Total Pages : 201
Release :
ISBN-10 : 9781856044899
ISBN-13 : 1856044890
Rating : 4/5 (99 Downloads)

Synopsis Metadata for Information Management and Retrieval by : David Haynes

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.

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
Author :
Publisher : IGI Global
Total Pages : 396
Release :
ISBN-10 : 9781599045450
ISBN-13 : 1599045451
Rating : 4/5 (50 Downloads)

Synopsis Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively by : Goh, Dion

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.

Introduction to Information Retrieval

Introduction to Information Retrieval
Author :
Publisher : Cambridge University Press
Total Pages :
Release :
ISBN-10 : 9781139472104
ISBN-13 : 1139472100
Rating : 4/5 (04 Downloads)

Synopsis Introduction to Information Retrieval by : Christopher D. Manning

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: Uncertainty and Logics

Information Retrieval: Uncertainty and Logics
Author :
Publisher : Springer Science & Business Media
Total Pages : 362
Release :
ISBN-10 : 0792383028
ISBN-13 : 9780792383024
Rating : 4/5 (28 Downloads)

Synopsis Information Retrieval: Uncertainty and Logics by : Fabio Crestani

A collection of papers proposing, developing, and implementing logical IR models. After an introductory chapter on non-classical logic as the appropriate formalism with which to build IR models, papers are divided into groups on three approaches: logical models, uncertainty models, and meta-models. Topics include preferential models of query by navigation, a logic for multimedia information retrieval, logical imaging and probabilistic information retrieval, and an axiomatic aboutness theory for information retrieval. Can be used as a text for a graduate course on information retrieval or database systems, and as a reference for researchers and practitioners in industry. Annotation copyrighted by Book News, Inc., Portland, OR

Computers for Librarians

Computers for Librarians
Author :
Publisher : Elsevier
Total Pages : 335
Release :
ISBN-10 : 9781780634197
ISBN-13 : 1780634196
Rating : 4/5 (97 Downloads)

Synopsis Computers for Librarians by : Stuart J. Ferguson

Computers for Librarians is aimed primarily at students of library and information management and at those library and information service professionals who feel the need for a book that will give them a broad overview of the emerging electronic library. It takes a top-down approach, starting with applications such as the Internet, information sources and services, provision of access to information resources and library management systems, before looking at data management, computer systems and technology, data communications and networking, and library systems development. It also provides an interesting set of case studies, which help to put theoretical and technical issues into context. Computers for Librarians can be read as a survey of where we are in terms of the electronic library, but it is also intended as an educational resource, and includes self-learning aids such as learning objectives, keywords and review questions for each chapter.

Information Retrieval

Information Retrieval
Author :
Publisher : John Wiley & Sons
Total Pages : 320
Release :
ISBN-10 : 0470033630
ISBN-13 : 9780470033630
Rating : 4/5 (30 Downloads)

Synopsis Information Retrieval by : Ayse Goker

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.