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Component-based knowledge engineering architecture

Title
Component-based knowledge engineering architecture
Authors
Kim, WChae, KJCho, DSChoi, BKim, MLee, KHLee, MLee, SHPark, SSYong, HS
Ewha Authors
이기호이상호조동섭박승수채기준이미정최병주김명용환승
SCOPUS Author ID
이기호scopus; 이상호scopus; 조동섭scopus; 박승수scopus; 채기준scopus; 이미정scopus; 최병주scopus; 김명scopus; 용환승scopus
Issue Date
1999
Journal Title
JOURNAL OF OBJECT-ORIENTED PROGRAMMING
ISSN
0896-8438JCR Link
Citation
JOURNAL OF OBJECT-ORIENTED PROGRAMMING vol. 12, no. 6, pp. 40 - +
Publisher
SIGS PUBLICATIONS INC
Indexed
SCOPUS WOS scopus
Document Type
Article
Abstract
The integrated Knowledge Engineering Architecture (IKEA) project underway at Ewha Womans University is a five-year, large-scale advanced research and development (R&D) project aimed at pushing the frontier of knowledge engineering technology. The project provides a single focus for almost all of the faculty members and their graduate students in the Department of Computer Science and Engineering at Ewha Womans University, the women's university with the longest history and tradition of excellence in Korea. We envision knowledge engineering (KE) as the new dimension being added to information technology (IT) infrastructure, on which the daily business of corporations, government agencies, and educational institutes depends in today's client/server, Internet era. The primary components of KE technology include relational database systems, data warehousing systems, decision support, and multidimensional data analysis systems, data mining and knowledge discovery systems, Internet XML/HTML document content search mechanisms, and industry-specific applications of data analysis and data mining systems. The objectives of the IKEA project are to address various major open research subjects in each of these areas and to put together a Knowledge Engineering Architecture platform using component-based software development:technology. We envision the knowledge engineering architecture to be used in supporting "knowledge" applications such as database marketing, fraud detection, personalized electronic commerce, customer relationship management, etc. The IKEA project requires participation from at least six major subdisciplines, including databases, knowledge discovery and reasoning (statistics and artificial Intelligence), visualization and human-computer interlace, parallel processing, networking and distributed systems, and software engineering.
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인공지능대학 > 컴퓨터공학과 > Journal papers
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