Title :
A unified data model for representing multimedia, timeline, and simulation data
Author :
Dionisio, John David N ; Cárdenas, Alfonso F.
Author_Institution :
Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA
Abstract :
This paper describes a unified data model that represents multimedia, timeline, and simulation data utilizing a single set of related data modeling constructs. A uniform model for multimedia types structures image, sound, video, and long text data in a consistent way, giving multimedia schemas and queries a degree of data independence even for these complex data types. Information that possesses an intrinsic temporal element can all be represented using a construct called a stream. Streams can be aggregated into parallel multistreams, thus providing a structure for viewing multiple sets of time-based information. The unified stream construct permits real-time measurements, numerical simulation data, and visualizations of that data to be aggregated and manipulated using the same set of operators. Prototypes based on the model have been implemented for two medical application domains: thoracic oncology and thermal ablation therapy of brain tumors. Sample schemas, queries, and screenshots from these domains are provided. Finally, a set of examples is included for an accompanying visual query language discussed in detail in another document
Keywords :
data structures; medical information systems; multimedia computing; query languages; query processing; temporal databases; visual databases; visual languages; brain tumors; complex data types; data independence; data modeling; data visualization; images; medical application; multimedia; parallel multistreams; query processing; real-time measurements; simulation data; sound; stream construct; temporal data; text data; thermal ablation therapy; thoracic oncology; timeline data; unified data model; video; visual query language; Biomedical equipment; Brain modeling; Data models; Data visualization; Medical services; Medical treatment; Numerical simulation; Oncology; Prototypes; Streaming media;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on