System architecture for information processing

• Published in: Information processing & management Vol. 27; no. 4; pp. 347 - 369
• Main Author: Ozkarahan, Esen
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 1991; Elsevier Science; Pergamon Press; Elsevier Science Ltd
• Subjects: Architecture; Computer system architecture; Computerised information retrieval; Computerized information storage and retrieval; Computerized subject indexing; Conceptual modeling; Database machines; Exact sciences and technology; File partitioning; Information and communication sciences; Information retrieval; Information retrieval systems. Information and document management system; Information science. Documentation; Information storage and retrieval; Information work; Integrity constraint filtering; Intelligent I/O architectures; Interfaces. Software; Multimedia; Multimedia databases; Multiprocessing; Object-oriented databases; Parallel computers; Parallel processing; Query; Sciences and techniques of general use; Searching; Software; Subject indexing; Systems design; Conceptual modeling; Query; Multiprocessing; Parallel computers; File partitioning; Integrity constraint filtering; Multimedia databases; Information retrieval; Intelligent I/O architectures; Database machines; Computer system architecture; Object-oriented databases; Design; Multimedia; System architecture; Input output; Partition; Entity relationship model; Parallel configuration; Prototype; Document retrieval system; Object oriented; Information processing
• ISSN: 0306-4573; 1873-5371
• DOI: 10.1016/0306-4573(91)90089-5

Text and fact retrieval efficiency can be achieved only within the framework of a computer system architecture embodying parallel search hardware, intelligent I/O architecture, and effective data partitioning and search strategies. Parallelism by itself is not a panacea. This paper presents the framework of the system architecture and the details of our intelligent I/O architecture called IMSA, data partitioning, and the RAP.3 integrated retrieval system. The RAP.3 system is driven by cluster searching for narrowing the search space. All media documents are converted to special relational formats and searched by relational database and text search commands. An integrated multimedia information system supported by object-oriented database methodology within the RAP.3 system architecture is included as a demonstration.