Automatic Information Organization And Retrieval
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Author | : Gerard Salton |
Publisher | : New York : McGraw-Hill |
Total Pages | : 536 |
Release | : 1968 |
Genre | : Computers |
ISBN | : |
Textbook on methodology of automation in documentation work - covers EDP, computerisation, dictionary construction and operations, storage of and research for information, mathematical analysis and statistical method, evaluation of methodology, etc. Bibliography pp. 485 to 498, and flow diagrams.
Author | : Gerard Salton |
Publisher | : SIAM |
Total Pages | : 61 |
Release | : 1975-01-01 |
Genre | : Technology & Engineering |
ISBN | : 0898710154 |
Test results are included which illustrate the effectiveness of the theory.
Author | : Christopher D. Manning |
Publisher | : Cambridge University Press |
Total Pages | : |
Release | : 2008-07-07 |
Genre | : Computers |
ISBN | : 1139472100 |
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 | : Gerard Salton |
Publisher | : Prentice Hall |
Total Pages | : 552 |
Release | : 1975 |
Genre | : Language Arts & Disciplines |
ISBN | : |
Introducing the new library; Mechanized housekeeping; Automatic indexing and abstracting; Storage and retrieval systems; System analysis and evaluation; Dynamic information processing.
Author | : Gerald J. Kowalski |
Publisher | : Springer Science & Business Media |
Total Pages | : 323 |
Release | : 2005-11-19 |
Genre | : Computers |
ISBN | : 0306470314 |
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.
Author | : Management Association, Information Resources |
Publisher | : IGI Global |
Total Pages | : 2373 |
Release | : 2018-01-05 |
Genre | : Computers |
ISBN | : 1522551921 |
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 | : Fabio Crestani |
Publisher | : Springer Science & Business Media |
Total Pages | : 362 |
Release | : 1998-10-31 |
Genre | : Computers |
ISBN | : 9780792383024 |
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
Author | : Center for Intelligent Information Retrieval |
Publisher | : Springer Science & Business Media |
Total Pages | : 326 |
Release | : 2000-04-30 |
Genre | : Computers |
ISBN | : 0792378121 |
The NSF Center for Intelligent Information Retrieval (CIIR) was formed in the Computer Science Department of the University of Massachusetts, Amherst, in 1992. Through its efforts in basic research, applied research, and technology transfer, the CIIR has become known internationally as one of the leading research groups in the area of information retrieval. The CIIR focuses on research that results in more effective and efficient access and discovery in large, heterogeneous, distributed text and multimedia databases. The scope of the work that is done in the CIIR is broad and goes significantly beyond `traditional' areas of information retrieval such as retrieval models, cross-lingual search, and automatic query expansion. The research includes both low-level systems issues such as the design of protocols and architectures for distributed search, as well as more human-centered topics such as user interface design, visualization and data mining with text, and multimedia retrieval. Advances in Information Retrieval: Recent Research from the Center for Intelligent Information Retrieval is a collection of papers that covers a wide variety of topics in the general area of information retrieval. Together, they represent a snapshot of the state of the art in information retrieval at the turn of the century and at the end of a decade that has seen the advent of the World-Wide Web. The papers provide overviews and in-depth analysis of theory and experimental results. This book can be used as source material for graduate courses in information retrieval, and as a reference for researchers and practitioners in industry.
Author | : Gobinda G. Chowdhury |
Publisher | : Facet Publishing |
Total Pages | : 492 |
Release | : 2004 |
Genre | : Business & Economics |
ISBN | : |
Blends together traditional and electronic-age views of information retrieval, covering the whole spectrum of storage and retrieval. A fully revised and updated edition of successful text covering many new areas including multimedia IR, user interfaces and digital libraries.
Author | : Marie-Francine Moens |
Publisher | : Springer Science & Business Media |
Total Pages | : 276 |
Release | : 2005-12-27 |
Genre | : Computers |
ISBN | : 0306470179 |
Automatic Indexing and Abstracting of Document Texts summarizes the latest techniques of automatic indexing and abstracting, and the results of their application. It also places the techniques in the context of the study of text, manual indexing and abstracting, and the use of the indexing descriptions and abstracts in systems that select documents or information from large collections. Important sections of the book consider the development of new techniques for indexing and abstracting. The techniques involve the following: using text grammars, learning of the themes of the texts including the identification of representative sentences or paragraphs by means of adequate cluster algorithms, and learning of classification patterns of texts. In addition, the book is an attempt to illuminate new avenues for future research. Automatic Indexing and Abstracting of Document Texts is an excellent reference for researchers and professionals working in the field of content management and information retrieval.