3.1 Data Webs for Image Repositories
3.1 Data Webs for Image Repositories
Images are used in academic research and teaching, but their acquisition typically requires a lot of time and money. In addition, they have a large storage requirement and their internal semantics is difficult to extract using available computing technologies. This “semantic gap” requires descriptive metadata to make digital image repositories meaningful. Even with good metadata, however, searching for relevant images scattered across several repositories remains problematic because such repositories exhibit varying degrees of syntactic and semantic incompatibility. This chapter focuses on subject-specific data webs as a solution for integrating images and other data distributed across several heterogeneous repositories or databases. It discusses the advantages of data webs over conventional web searches, including programmatic access which makes it possible to build added-value services on top of one or more data webs.
Keywords: data webs, images, image repositories, metadata, databases, programmatic access, searching
MIT Press Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.
Please, subscribe or login to access full text content.
If you think you should have access to this title, please contact your librarian.
To troubleshoot, please check our FAQs, and if you can't find the answer there, please contact us.
