Ebook: Lectures on Information Retrieval: Third European Summer-School, ESSIR 2000 Varenna, Italy, September 11–15, 2000 Revised Lectures

Information Retrieval (IR) is concerned with the effective and efficient retrieval of information based on its semantic content. The central problem in IR is the quest to find the set of relevant documents, among a large collection containing the information sought, satisfying a user's information need usually expressed in a natural language query. Documents may be objects or items in any medium: text, image, audio, or indeed a mixture of all three. This book presents 12 revised lectures given at the Third European Summer School in Information Retrieval, ESSIR 2000, held at the Villa Monastero, Varenna, Italy, in September 2000. The first part of the book is devoted to the foundation of IR and related areas; the second part on advanced topics addresses various current issues, from usability aspects to Web searching and browsing.

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Information Retrieval (IR) is concerned with the effective and efficient retrieval of information based on its semantic content. The central problem in IR is the quest to find the set of relevant documents, among a large collection containing the information sought, satisfying a user's information need usually expressed in a natural language query. Documents may be objects or items in any medium: text, image, audio, or indeed a mixture of all three. This book presents 12 revised lectures given at the Third European Summer School in Information Retrieval, ESSIR 2000, held at the Villa Monastero, Varenna, Italy, in September 2000. The first part of the book is devoted to the foundation of IR and related areas; the second part on advanced topics addresses various current issues, from usability aspects to Web searching and browsing.

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Information Retrieval (IR) is concerned with the effective and efficient retrieval of information based on its semantic content. The central problem in IR is the quest to find the set of relevant documents, among a large collection containing the information sought, satisfying a user's information need usually expressed in a natural language query. Documents may be objects or items in any medium: text, image, audio, or indeed a mixture of all three. This book presents 12 revised lectures given at the Third European Summer School in Information Retrieval, ESSIR 2000, held at the Villa Monastero, Varenna, Italy, in September 2000. The first part of the book is devoted to the foundation of IR and related areas; the second part on advanced topics addresses various current issues, from usability aspects to Web searching and browsing.
Content:
Front Matter....Pages I-IX
Getting into Information Retrieval....Pages 1-20
Models in Information Retrieval....Pages 21-50
Multilingual Information Access....Pages 51-80
Evaluation in Information Retrieval....Pages 81-92
Indexing, Browsing, and Searching of Digital Video and Digital Audio Information....Pages 93-110
Retrieval of Still Images by Content....Pages 111-138
Digital Libraries and Information Retrieval....Pages 139-156
Users in Context....Pages 157-178
Logic and Uncertainty in Information Retrieval....Pages 179-206
Modeling Vagueness in Information Retrieval....Pages 207-241
Information Retrieval on the Web....Pages 242-285
Information Retrieval and Structured Documents....Pages 286-309
Back Matter....Pages 311-311

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Information Retrieval (IR) is concerned with the effective and efficient retrieval of information based on its semantic content. The central problem in IR is the quest to find the set of relevant documents, among a large collection containing the information sought, satisfying a user's information need usually expressed in a natural language query. Documents may be objects or items in any medium: text, image, audio, or indeed a mixture of all three. This book presents 12 revised lectures given at the Third European Summer School in Information Retrieval, ESSIR 2000, held at the Villa Monastero, Varenna, Italy, in September 2000. The first part of the book is devoted to the foundation of IR and related areas; the second part on advanced topics addresses various current issues, from usability aspects to Web searching and browsing.
Content:
Front Matter....Pages I-IX
Getting into Information Retrieval....Pages 1-20
Models in Information Retrieval....Pages 21-50
Multilingual Information Access....Pages 51-80
Evaluation in Information Retrieval....Pages 81-92
Indexing, Browsing, and Searching of Digital Video and Digital Audio Information....Pages 93-110
Retrieval of Still Images by Content....Pages 111-138
Digital Libraries and Information Retrieval....Pages 139-156
Users in Context....Pages 157-178
Logic and Uncertainty in Information Retrieval....Pages 179-206
Modeling Vagueness in Information Retrieval....Pages 207-241
Information Retrieval on the Web....Pages 242-285
Information Retrieval and Structured Documents....Pages 286-309
Back Matter....Pages 311-311
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