Abstract
A designer׳s information need can have a lot of finer points not expressible completely by textual attributes or global aggregated image features. The purpose of the study is to develop a cognitive environment for content-based engineering drawing retrieval, allowing a user to concretize queries, to implement strategies that are most effective for the current search task. We propose meaningful customizable graphic search patterns, various comparison modes and visualization of matched elements. The presented experiments show that the approach yields good results in the sense of relevance and is comfortable in terms of controllability. The possibility to customize search patterns can result in improving retrieval precision by 10–15%. In practice, it can significantly increase the degree of automation of the design-reuse process.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
