Supporting Systems Development by Capturing Deliberations During Requirements Engineering
IEEE Transactions on Software Engineering - Special issue on knowledge representation and reasoning in software development
Mapping domains to methods in support of reuse
International Journal of Human-Computer Studies
Taking up the situated cognition challenge with ripple down rules
International Journal of Human-Computer Studies
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Validating knowledge acquisition: multiple classification ripple-down rules
Validating knowledge acquisition: multiple classification ripple-down rules
FCA-MERGE: bottom-up merging of ontologies
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Voting in cooperative information agent scenarios: use and abuse
CIA'06 Proceedings of the 10th international conference on Cooperative Information Agents
Evaluation of the FastFIX prototype 5cs CARD system
PKAW'06 Proceedings of the 9th Pacific Rim Knowledge Acquisition international conference on Advances in Knowledge Acquisition and Management
Information Sciences: an International Journal
Information Sciences: an International Journal
A contribution-based framework for the creation of semantically-enabled web applications
Information Sciences: an International Journal
Modeling a resource contention in the management of virtual organizations
Information Sciences: an International Journal
Distributed recommender for peer-to-peer knowledge sharing
Information Sciences: an International Journal
Supporting small teams in cooperatively building application domain models
Expert Systems with Applications: An International Journal
Statics and dynamics of cognitive and qualitative matchmaking in task fulfillment
Information Sciences: an International Journal
The correlation between Wikipedia and knowledge sharing on job performance
Expert Systems with Applications: An International Journal
Boosting social collaborations based on contextual synchronization: An empirical study
Expert Systems with Applications: An International Journal
Semantic Web Technologies for supporting learning assessment
Information Sciences: an International Journal
Collaborative virtual geographic environments: A case study of air pollution simulation
Information Sciences: an International Journal
Modelling collaboration using complex networks
Information Sciences: an International Journal
Managing customer information and knowledge with social media in business-to-business companies
i-KNOW '11 Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies
A semantic platform for the management of the educative curriculum
Expert Systems with Applications: An International Journal
Multi-criteria decision making in ontologies
Information Sciences: an International Journal
Detection of CAN by ensemble classifiers based on ripple down rules
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
SlideWiki: elicitation and sharing of corporate knowledge using presentations
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
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Expert systems have traditionally captured the explicit knowledge of a single expert or source of expertise in order to automatically provide conclusions or classifications within a narrow problem domain. This is in stark contrast to social software which enables knowledge communities to share implicit knowledge of a more practical or experiential nature to inform individuals and groups to arrive at their own conclusions. Specialists are often needed to elicit and encode the knowledge in the case of expert systems, whereas one of the (claimed) hallmarks of social software and the Web 2.0 trend, such as Wikis and Blogs, is that everyone, anywhere can chose to contribute input. This openness in authoring and sharing content, however, tends to produce unstructured knowledge that is difficult to execute, reason over or automatically validate. This also poses limitations for its reuse. To facilitate the capture of knowledge-in-action which spans both explicit and tacit knowledge types, a knowledge engineering approach which offers Wiki-style collaboration is introduced. The approach extends a combined rule and case-based knowledge acquisition technique known as Multiple Classification Ripple Down Rules to allow multiple users to collaboratively view, define and refine a knowledge base over time and space.