Advances in Multidisciplinary Retrieval : First Information Retrieval Facility Conference, IRFC 2010, Vienna, Austria, May 31, 2010, Proceedings

Cunningham, Hamish (EDT); Hanbury, Allan (EDT); Ruger, Stefan (EDT)

ISBN 10: 3642130836 / ISBN 13: 9783642130830

Editore: Springer, 2010

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Dati bibliografici

• Titolo: Advances in Multidisciplinary Retrieval : First Information Retrieval Facility Conference, IRFC 2010, Vienna, Austria, May 31, 2010, Proceedings
• Editore: Springer
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 3642130836
• ISBN 13: 9783642130830
• Rilegatura: Brossura
• Condizione: As New

Descrizione articolo

Riassunto

The LNCS series reports state of the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available.

The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes

proceedings (published in time for the respective conference)

post-proceedings (consisting of thoroughly revised final full papers)

research monographs (which may be based on outstanding PhD work, research projects, technical reports, etc.)

More recently, several color-cover sublines have been added featuring, beyond a collection of papers, various added-value components; these sublines include

-tutorials (textbook-like monographs or collections of lectures given at advanced courses)

-state-of-the-art surveys (offering complete and mediated coverage of a topic)

-hot topics (introducing emergent topics to the broader community)

Contenuti

Scaling Up High-Value Retrieval to Medium-Volume Data.- Sentence-Level Attachment Prediction.- Rank by Readability: Document Weighting for Information Retrieval.- Knowledge Modeling in Prior Art Search.- Combining Wikipedia-Based Concept Models for Cross-Language Retrieval.- Exploring Contextual Models in Chemical Patent Search.- Measuring the Variability in Effectiveness of a Retrieval System.- An Information Retrieval Model Based on Discrete Fourier Transform.- Logic-Based Retrieval: Technology for Content-Oriented and Analytical Querying of Patent Data.- Automatic Extraction and Resolution of Bibliographical References in Patent Documents.- An Investigation of Quantum Interference in Information Retrieval.- Abstracts versus Full Texts and Patents: A Quantitative Analysis of Biomedical Entities.