Sai Zeng, Angran Xiao, et al.
CAD Computer Aided Design
In the ever growing digital media in the Internet, search engines are now considered inadequate to find relevant data to a query by a user. Even those search engines that crawl broadly across the Web don't adequately characterize the digital content to make way for effective search. Despite high accuracy in some cases, digital-content search always suffers from low recall, and this is due to the complete reliance of digital-content search on metadata. Efforts are not made to fill out the many dimensions of metadata required for effective digital-content search. However, the problem with today's limited search silos can be answered by standards for interoperable search, and this would benefit users by permitting digital content search engines to have far greater reach across repositories and other search engines. A standardized metadata can play a significant role in improving today's Internet search engines, as well as the creation of a common interoperable search framework across different search engines.
Sai Zeng, Angran Xiao, et al.
CAD Computer Aided Design
Hang-Yip Liu, Steffen Schulze, et al.
Proceedings of SPIE - The International Society for Optical Engineering
Corneliu Constantinescu
SPIE Optical Engineering + Applications 2009
Marshall W. Bern, Howard J. Karloff, et al.
Theoretical Computer Science