Faceted metadata for image search and browsing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
A Survey of Content Based 3D Shape Retrieval Methods
SMI '04 Proceedings of the Shape Modeling International 2004
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Three-dimensional shape searching: state-of-the-art review and future trends
Computer-Aided Design
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The paper presents a comprehensive search framework that deals with different types of artifacts and therefore is suitable for situations where the information need behind a search request is sketchy. Such situations are characteristic for the product development domain, on which our research is focused. To support design engineers, various search concepts for specific computer aided engineering (CAE) document types, like e.g. 3D shape similarity methods, have been proposed. Although these methods might be beneficial for certain situations, there is a strong demand for a more generic approach that enables goal-oriented as well as exploratory searching for multiple artifacts such as products, documents, and materials. Hence, we base our framework on the ideas of faceted search, ranking, query-by-example, and parallel coordinates. Furthermore, we extend these concepts by artifact type hierarchies facilitating the generation of artifact type-specific facet data and the adaptability of this integrated approach for other domains as well.