Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
ACM Computing Surveys (CSUR)
ACM Transactions on Graphics (TOG)
Skeleton Based Shape Matching and Retrieval
SMI '03 Proceedings of the Shape Modeling International 2003
Rotation invariant spherical harmonic representation of 3D shape descriptors
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
Content-Based Search and Annotations in Multimedia Digital Libraries
ENC '03 Proceedings of the 4th Mexican International Conference on Computer Science
An introduction to variable and feature selection
The Journal of Machine Learning Research
Efficient Discovery Service for a Digital Library of 3D Models
3DIM '05 Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
A survey of content based 3D shape retrieval methods
Multimedia Tools and Applications
Navigation and Discovery in 3D CAD Repositories
IEEE Computer Graphics and Applications
On visual similarity based 2D drawing retrieval
Computer-Aided Design
Shape-based clustering for 3D CAD objects: A comparative study of effectiveness
Computer-Aided Design
Content-based image retrieval using shape and depth from an engineering database
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
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An enterprise employs various search systems in isolation to retrieve knowledge from its data sources. Usually, these search systems fulfill specific requirements of a department. Overall, the search systems are not efficient and do not consider a holistic view of an enterprise. To overcome the aforesaid issues, an integrated content-based enterprise search framework is envisaged. The framework employs various indexing and retrieval methods for contentbased retrieval of enterprise entities like 3D models and 2D drawings. Further, to conveniently access enterprise databases and increase search effectiveness, several interaction techniques are identified as follows: (i) interaction using (alpha-) numeric properties, (ii) interaction utilizing sketches, (iii) interaction employing 3D shapes, and (iv) interaction with cluster browsing. Depending on process context and domain experts' requirements, diverse interaction techniques can be combined to identify the required knowledge from enterprises' data sources. Finally, case studies are presented to validate the envisaged framework.