Collaborative knowledge engineering

Socialising expert systems

Debbie Richards*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

7 Citations (Scopus)
6 Downloads (Pure)


Social software such as Wikis and WebLogs have enabled global knowledge sharing communities to emerge. As with most of the current Web content, the knowledge captured is for human consumption only and too unstructured to allow automated reasoning. On the other hand, while sharing and reuse of knowledge are often the goal behind the development of a knowledge base or ontology, there is still currently little support even at the level of a version control system that notifies users when a module being checked-in has been edited by someone else. A collaborative learning approach is introduced1 which extends a combined rule and case based knowledge acquisition technique known as multiple classification ripple down rules to allow multiple users to view, define and refine a knowledge base over time and space.

Original languageEnglish
Title of host publicationProceedings of the 2007 11th International Conference on Computer Supported Cooperative Work in Design, CSCWD
EditorsWeiming Shen, Yun Yang, Jianming Yong, Igor Hawryszkiewycz, Jongkai Lin, Jean-Paul Barthes, Mary Lou Maher, Qi Hao, Minh Hong Tran
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Print)1424409632, 9781424409631
Publication statusPublished - 2007
Event11th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2007 - Melbourne, VIC, Australia
Duration: 24 Apr 200728 Apr 2007


Other11th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2007
CityMelbourne, VIC

Bibliographical note

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