A Flexible Approach for Managing Digital Images on the Semantic Web
Abstract
As the volume of digital images available on the Web continues to increase, there is a clear need for more advanced techniques for their effective retrieval and management. Recently, there has been an interest in applying Semantic Web technologies to represent the high level content of digital images in a machine processable format. While progress has been made, through a representative use case, we provide motivation for further work in developing more domain independent techniques for both annotating and managing images on the Web. Following this, we present an approach for publishing (OWL) annotations of image content to the Semantic Web, through the loose coupling of an annotation environment with a Semantic Web portal. Additionally, we present an implementation of the approach and describe a hypothetical use case that resulted in a proof-of-concept designed in collaboration with NASA.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2006
- Accession Number
- ADA448049
Entities
People
- Andrew Schain
- Bijan Parsia
- Christian Halaschek-wiener
- James Hendler
- Jennifer Golbeck
- Michael Grove
Organizations
- University of Maryland