Title :
A scientific database system for polymers and materials engineering needs
Author :
Ozsoyoglu, G. ; Ozsoyoglu, Z.M. ; Vadaparty, K.
Author_Institution :
Dept. of Comput. Eng. & Sci., Case Western Reserve Univ., Cleveland, OH, USA
Abstract :
This paper describes the environment, the issues and the progress made in developing a database management system for managing data generated by fracture study experiments in polymers and materials engineering. The experiment data produced by materials engineers is large and has several data types that include summary data, image data, spatial data, and temporal data obtained by applying differing amounts of multiaxial stresses to materials at different times. The types of queries on the experiment data include statistical queries, matching queries, mapping queries, and spatiotemporal queries. We discuss the data model, query language, and spatial data structure issues associated with our environment, and how they translate into specific research problems. We also briefly summarize the progress made in each area
Keywords :
natural sciences computing; query languages; query processing; spatial data structures; temporal databases; visual databases; data management; data model; data types; database management system; image data; mapping queries; matching queries; materials engineering; multiaxial stresses; polymers; query language; scientific database system; spatial data; spatial data structure; spatiotemporal queries; statistical queries; summary data; temporal data; Data engineering; Data models; Data structures; Database languages; Database systems; Engineering management; Environmental management; Polymers; Spatiotemporal phenomena; Stress;
Conference_Titel :
Scientific and Statistical Database Management, 1994. Proceedings., Seventh International Working Conference on
Conference_Location :
Charlottesville, VA
Print_ISBN :
0-8186-6610-2
DOI :
10.1109/SSDM.1994.336953
