Data Modeling for Digital Libraries

Thursday, January 25, 2001 - 9:30am - 10:30am
Lind 409
Shashi Shekhar (University of Minnesota, Twin Cities)
Data modeling and representation is a critical, and possibly the most difficult, step in constructing any kind of datastore, including digital libraries, datawarehouses and databases. Errors in data models may lead to irrelevant or incorrect answers to user queries, as well as poor reliability and performance. The objective of data modeling is to complete a rigorous design with quality checks before the physical implementation of the digital library. A common approach to data modeling and representation of multimedia content in digital libraries is via the design of relevant Abstract Data Types, e.g. audio, video, images, spatial, temporal, etc., which can be integrated into popular modeling languages using their extensible type systems. Data models and representations of multimedia data should capture relevant aspects of domain semantics while providing support for efficient storage (e.g. compression), retrieval (e.g. querying), transmission and rendering (display).