Title :
The knowledge-based object-oriented PICQUERY+ language
Author :
Cardenas, Alfonso F. ; Ieong, Ion Tim ; Taira, Ricky K. ; Barker, Roger ; Breant, Claudine M.
Author_Institution :
Californa Univ., Los Angeles, CA, USA
fDate :
8/1/1993 12:00:00 AM
Abstract :
PICQUERY+, a high-level domain-independent query language for pictorial and alphanumeric database management, is introduced. The PICQUERY+ language and its underlying stacked image data model are enhanced with major advances that include: convenient specification of the data domain space among a multimedia database federation, visualization of underlying data models, knowledge-based hierarchies, and domain rules, understanding of high-level abstract data types, ability to perform data object matches based on imprecise or fuzzy descriptors, imprecise relational correlators, and temporal and object evolutionary events, specification of alphanumeric and image processing algorithms on data, and specification of alphanumeric and image visualization methods for user presentation. The power of PICQUERY+ is illustrated using examples drawn from the medical imaging domain. A graphical menu-driven user interface is demonstrated for this domain as an example of the menu interface capabilities of PICQUERY+
Keywords :
graphical user interfaces; knowledge based systems; object-oriented languages; query languages; visual databases; alphanumeric database management; data domain space; domain rules; fuzzy descriptors; graphical menu-driven user interface; high-level abstract data types; high-level domain-independent query language; image processing algorithms; imprecise relational correlators; knowledge-based hierarchies; knowledge-based object-oriented PICQUERY+ language; medical imaging domain; multimedia database federation; pictorial; specification; stacked image data model; visualization; Biomedical imaging; Correlators; Data models; Data visualization; Database languages; Image databases; Image processing; Multimedia databases; Object oriented databases; Visual databases;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on