Batik KR semantic network: Visualizations of creative process and design knowledge for the Malaysian batik designers' community

• Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
• Main Author: Nordin A.; Noor N.L.M.; Zainuddin A.
• Format: Conference paper
• Language: English
• Published: 2009
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-76249121376&doi=10.1007%2f978-3-642-02559-4_37&partnerID=40&md5=f4d308d9456242e23c11aaa43628f0df

Designing batik, a decorative textile is guided by insights acquired from the confluence of design and heritage knowledge accompanied by cultural and aesthetic constraints, resulting in the preservation of the designer's and regional identity embedded in the design artifact. Insights and inspiration are gained from stories, non-textual references of images and photographs from repositories of knowledge such as books and the Web, objects of nature, environmental phenomena, fashion trend and human events. In addition evaluating existing products may lead to the possibility of inspired innovation or repetition of successful design solutions. With surplus on inspirational data available today, batik designers requires knowledge visualization to gain insights for designing task. Reporting a qualitative approach, this paper described our findings as the Batik Knowledge Repository (KR) semantic network to enable knowledge visualization of creative process (task) and design (domain) knowledge for batik textile designers' community. © 2009 Springer Berlin Heidelberg.