Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Standardized data exchange of CAD models with design intent
Computer-Aided Design
Expert Systems with Applications: An International Journal
Knowledge-intensive collaborative design modeling and support
Computers in Industry
A state-driven modeling approach to human interactions for knowledge intensive services
Expert Systems with Applications: An International Journal
An advanced architecture for push services
WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
Ontology-based semantic similarity: A new feature-based approach
Expert Systems with Applications: An International Journal
A CBR system for injection mould design based on ontology: A case study
Computer-Aided Design
Editorial: Collaboration technologies and applications
Journal of Network and Computer Applications
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The quality of a knowledge service influences the quality, efficiency and innovation of product conceptual design. Existing approaches lack intelligence and individuation when providing a knowledge retrieval service via rules and cases. In this paper, we propose a framework of an active knowledge service based on collaborative intent capture to assist product conceptual design. First, a collaborative intent capture model is constructed through the study of the expression and capture of collaborative intent; second, a framework and a process of active knowledge push based on collaborative intent capture are designed after analyzing the method of knowledge resources acquisition based on the constraint satisfaction theory. Finally, match algorithms for text content are studied. Based on the above research achievements, a prototype system of a collaborative design and active knowledge service platform (C-AKSP) has been developed for providing a knowledge service and assisting product conceptual design. An example, the conceptual design of a machine tool spindle system, is used to validate the proposed theories for the model, the framework and the algorithm. As a result, C-AKSP can provide a superior knowledge service that meets the designer's knowledge needs.