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World Wide ResearchReshaping the Sciences and Humanities$
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William H. Dutton and Paul W. Jeffreys

Print publication date: 2010

Print ISBN-13: 9780262014397

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262014397.001.0001

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3.1 Data Webs for Image Repositories

3.1 Data Webs for Image Repositories

(p.98) 3.1 Data Webs for Image Repositories
World Wide Research

David Shotton

The MIT Press

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

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