Agosti Information Access through Search Engines and Digital Libraries

1. Auflage 2007
ISBN: 978-3-540-75134-2
Verlag: Springer Berlin Heidelberg
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 22, 198 Seiten

Reihe: The Information Retrieval Series

The Information Management Systems group at the University of Padua has been a major contributor to information retrieval (IR) and digital libraries. The papers in this book include coverage of automated text categorizations, web link analysis algorithms, retrieval in multimedia digital libraries, and multilingual information retrieval. The text will appeal to institutions and companies working on search engines and information retrieval algorithms.

Maristella Agosti is full professor in computer science, with a main focus on databases and information retrieval, at the Faculty of Humanities and at the Department of Information Engineering (DEI) of the University of Padova. She is the leader of the Information Management System (IMS) group of DEI and coordinates a number of national and international research projects. Her current interests are digital libraries, system architectures with a special focus on annotations, and multimedia digital archives.

Autoren/Hrsg.

Agosti, Maristella

Inhaltsverzeichnis

1;Foreword;5
2;Preface;6
3;Contents;11
4;Contributing Authors;12
5;Information Access using the Guide of User Requirements;14
5.1;1 Introduction;14
5.2;2 The Evolution of System-Oriented Information Retrieval;16
5.3;3 Conclusions;22
5.4;References;22
6;From Linking Text to Linking Crimes: Information Retrieval, But Not As You Know It;26
6.1;1 Not Your Standard Information Retrieval;26
6.2;2 Linking Text;28
6.3;3 Linking Crimes;36
6.4;4 Conclusions;52
6.5;Acknowledgements;53
6.6;References;53
7;Modeling Retrieval and Navigation in Context;56
7.1;1 Introduction;56
7.2;2 Modeling Context;58
7.3;3 Retrieval in Context;61
7.4;4 How to Formalize a Context;62
7.5;5 Navigation in Context;65
7.6;6 Related Work;67
7.7;References;69
8;Two Algorithms for Probabilistic Stemming;71
8.1;1 What is Stemming;71
8.2;2 A Mutual Reinforcement-Based Model for Stemming;73
8.3;3 A HMM-Based Stemming Algorithm;76
8.4;4 Experimental Evaluation of Probabilistic Stemmers;83
8.5;5 Conclusions;85
8.6;Acknowledgments;85
8.7;References;85
9;Automated Text Categorization: The Two- Dimensional Probabilistic Model;87
9.1;1 Introduction;87
9.2;2 The Two-Dimensional Model;90
9.3;3 Experiments;101
9.4;4 Conclusions;104
9.5;References;106
10;Analysis of Web Link Analysis Algorithms: The Mathematics of Ranking;108
10.1;1 Introduction;108
10.2;2 Related Works;110
10.3;3 Previous Work: Rank Similarity and Rank Stability;111
10.4;4 On PageRank-Induced Ranking Changes;113
10.5;5 Ranking Convergence: A Mathematical Challenge;119
10.6;6 Conclusions;120
10.7;References;120
11;Digital Annotations: a Formal Model and its Applications;123
11.1;1 Introduction;123
11.2;2 Viewpoints on Annotations;125
11.3;3 Overview of the Formal Model;134
11.4;4 The Formal Model;138
11.5;5 Conclusions;150
11.6;References;151
12;Music Indexing and Retrieval for Multimedia Digital Libraries;157
12.1;1 Introduction;157
12.2;2 Background;158
12.3;3 Approaches to Music Retrieval;165
12.4;4 A Probabilistic Approach to Music Indexing and Retrieval;168
12.5;5 Experiments;174
12.6;6 Conclusions;177
12.7;References;177
13;A Statistical and Graphical Methodology for Comparing Bilingual to Monolingual Cross- Language Information Retrieval;181
13.1;1 Introduction;181
13.2;2 Cross-Lingual Comparison Methodology;183
13.3;3 Experimental Setting;191
13.4;4 Application Example and Experimental Results;193
13.5;5 Conclusions;196
13.6;References;197
14;Index;199
15;The Information Retrieval Series;207