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Proceedings Paper

An annotation database for multimodal scientific data
Author(s): Cristina Bogdanschi; Simone Santini
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Paper Abstract

In many collaborative research environments novel tools and techniques allow researchers to generate data from experiments and observations at a staggering rate. Researchers in these areas are now facing the strong need for querying, sharing and exchanging these data in a uniform and transparent fashion. However, due to the nature of the various types of heterogeneous data and lack of local and global database structures, standard data integration approaches fail or are not applicable. A viable solution to this problem is the extensive use of metadata. In this paper we present the model of an annotation management system suitable for such research environments, and discuss some aspects of its implementation. Annotations provide rich linkage structure between data and between themselves that translates in a complex graph structure of which annotations and data are the nodes. We show how annotations are managed and used for data retrieval and outline some of the query techniques used in the system.

Paper Details

Date Published: 19 January 2009
PDF: 8 pages
Proc. SPIE 7255, Multimedia Content Access: Algorithms and Systems III, 72550G (19 January 2009); doi: 10.1117/12.816744
Show Author Affiliations
Cristina Bogdanschi, Univ. Autónoma de Madrid (Spain)
Simone Santini, Univ. Autónoma de Madrid (Spain)

Published in SPIE Proceedings Vol. 7255:
Multimedia Content Access: Algorithms and Systems III
Raimondo Schettini; Ramesh C. Jain; Simone Santini, Editor(s)

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