Author: United States. Congress. Senate. Committee on Government Operations
Publisher:
ISBN:
Category : Information storage and retrieval systems
Languages : en
Pages : 32
Book Description
Documentation, Indexing, and Retrieval of Scientific Information
Author: United States. Congress. Senate. Committee on Government Operations
Publisher:
ISBN:
Category : Information storage and retrieval systems
Languages : en
Pages : 32
Book Description
Publisher:
ISBN:
Category : Information storage and retrieval systems
Languages : en
Pages : 32
Book Description
Introduction to Information Retrieval
Author: Christopher D. Manning
Publisher: Cambridge University Press
ISBN: 1139472100
Category : Computers
Languages : en
Pages :
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.
Publisher: Cambridge University Press
ISBN: 1139472100
Category : Computers
Languages : en
Pages :
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.
Indexing and Retrieval of Non-Text Information
Author: Diane Rasmussen Neal
Publisher: Walter de Gruyter
ISBN: 3110260581
Category : Language Arts & Disciplines
Languages : en
Pages : 440
Book Description
The scope of this volume will encompass a collection of research papers related to indexing and retrieval of online non-text information. In recent years, the Internet has seen an exponential increase in the number of documents placed online that are not in textual format. These documents appear in a variety of contexts, such as user-generated content sharing websites, social networking websites etc. and formats, including photographs, videos, recorded music, data visualizations etc. The prevalence of these contexts and data formats presents a particularly challenging task to information indexing and retrieval research due to many difficulties, such as assigning suitable semantic metadata, processing and extracting non-textual content automatically, and designing retrieval systems that "speak in the native language" of non-text documents.
Publisher: Walter de Gruyter
ISBN: 3110260581
Category : Language Arts & Disciplines
Languages : en
Pages : 440
Book Description
The scope of this volume will encompass a collection of research papers related to indexing and retrieval of online non-text information. In recent years, the Internet has seen an exponential increase in the number of documents placed online that are not in textual format. These documents appear in a variety of contexts, such as user-generated content sharing websites, social networking websites etc. and formats, including photographs, videos, recorded music, data visualizations etc. The prevalence of these contexts and data formats presents a particularly challenging task to information indexing and retrieval research due to many difficulties, such as assigning suitable semantic metadata, processing and extracting non-textual content automatically, and designing retrieval systems that "speak in the native language" of non-text documents.
Information Retrieval: Uncertainty and Logics
Author: Fabio Crestani
Publisher: Springer Science & Business Media
ISBN: 9780792383024
Category : Computers
Languages : en
Pages : 362
Book Description
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
Publisher: Springer Science & Business Media
ISBN: 9780792383024
Category : Computers
Languages : en
Pages : 362
Book Description
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
Automatic Indexing from Machine Readable Abstracts of Scientific Documents
Author: Pranas Zunde
Publisher:
ISBN:
Category : Abstracting and indexing services
Languages : en
Pages : 118
Book Description
Publisher:
ISBN:
Category : Abstracting and indexing services
Languages : en
Pages : 118
Book Description
NBS Technical Note
Author:
Publisher:
ISBN:
Category : Physical instruments
Languages : en
Pages : 220
Book Description
Publisher:
ISBN:
Category : Physical instruments
Languages : en
Pages : 220
Book Description
Indexing and Classification
Author: Winifred F. Desmond
Publisher: Oak Ridge, Tenn. : Oak Ridge National Laboratory
ISBN:
Category : Abstracting and indexing
Languages : en
Pages : 186
Book Description
Publisher: Oak Ridge, Tenn. : Oak Ridge National Laboratory
ISBN:
Category : Abstracting and indexing
Languages : en
Pages : 186
Book Description
NBS Special Publication
Author:
Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 160
Book Description
Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 160
Book Description
Reports and Documents
Author: United States. Congress
Publisher:
ISBN:
Category :
Languages : en
Pages : 1922
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 1922
Book Description