On modeling of information retrieval concepts in vector spaces
ACM Transactions on Database Systems (TODS)
A massively parallel architecture for a self-organizing neural pattern recognition machine
Computer Vision, Graphics, and Image Processing
Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
On modeling information retrieval with probabilistic inference
ACM Transactions on Information Systems (TOIS)
Visualization of a document collection with implicit and explicit links
Scandinavian Journal of Information Systems
An organic user interface for searching citation links
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Method combination for document filtering
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Communications of the ACM
Sorting out searching: a user-interface framework for text searches
Communications of the ACM
Information architecture for the World Wide Web
Information architecture for the World Wide Web
Visual Cues: Practical Data Visualization
Visual Cues: Practical Data Visualization
Semantics in Visual Information Retrieval
IEEE MultiMedia
Knowledge-Based and Statistical Approaches to Text Retrieval
IEEE Expert: Intelligent Systems and Their Applications
Query-Free Information Retrieval
IEEE Expert: Intelligent Systems and Their Applications
Information Retrieval on the World Wide Web
IEEE Internet Computing
WebDB: A Web Query System and Its Modeling, Language, and Implementation
ADL '98 Proceedings of the Advances in Digital Libraries Conference
Document retrieval using fuzzy-valued concept networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Engineering design is a knowledge intensive process. The execution of each task in the process requires various aspects of knowledge and experience. Therefore, organizing, storing and retrieving product design information, design intents and underlining design knowledge is one of the most important tasks in engineering knowledge management. This study develops a novel scheme for functional feature-based reference design retrieval using adaptive resonance theory (ART1) neural network to provide engineering designers with easy access to relevant design and other knowledge. This retrieval process includes the steps of functional feature-based query, case searching, and case ranking. The technology involves a binary code-based representation for functional features, ART1 neural network for functional feature-based case clustering, functional feature-based case similarity ranking, and a case-based representation for designed entities. The objective of this study can be achieved by performing the following tasks: (i) designing a functional feature-based reference design retrieval process, (ii) developing a functional feature representation, (iii) investigating ART1 neural network, (iv) implementing a functional feature-based reference design retrieval mechanism, and (v) experimenting with functional feature-based case clustering.