Information Access through Search Engines and Digital Libraries / The Information Retrieval Series Bd.22 (PDF)
The Information Management Systems group at the University of Padua, led by Maristella Agosti, has been a major contributor to information retrieval (IR) and digital libraries for nearly twenty years. This group has gained an excellent reputation in the...
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The Information Management Systems group at the University of Padua, led by Maristella Agosti, has been a major contributor to information retrieval (IR) and digital libraries for nearly twenty years. This group has gained an excellent reputation in the IR community and has produced some of the best-known IR researchers, whose work spans a broad range of topics.
The papers in this book deal with e.g. automated text categorizations, web link analysis algorithms, retrieval in multimedia digital libraries, and multilingual information retrieval. The presentation of original research results built on the past work of the group which at the same time summarizes past findings and opens up new directions and new areas of possible future research and cooperation will appeal to researchers and developers in 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.
- 2007, 2008, 198 Seiten, Englisch
- Herausgegeben: Maristella Agosti
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3540751343
- ISBN-13: 9783540751342
- Erscheinungsdatum: 27.10.2007
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 13 MB
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