Semantic Annotation and Retrieval of Images in Digital Libraries

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Author(s): Taha Osman (Nottingham Trent University, UK), Dhavalkumar Thakker (Nottingham Trent University, UK)and Gerald Schaefer (Aston University, UK)
Copyright: 2009
Pages: 8
Source title: Handbook of Research on Digital Libraries: Design, Development, and Impact
Source Author(s)/Editor(s): Yin-Leng Theng (Nanyang Technological University, Singapore), Schubert Foo (Nanyang Technological University, Singapore), Dion Goh (Nanyang Technological University, Singapore)and Jin-Cheon Na (Nanyang Technological University, Singapore)
DOI: 10.4018/978-1-59904-879-6.ch026

Keywords: Digital Libraries / Information Science Reference / Library & Information Science / Library Science

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Abstract

While many digital image libraries allow access to large repositories of images, unfortunately, often the provided free-text search returns unsatisfactory retrieval results. The reason for this is that search techniques typically rely solely on statistical analysis of keyword recurrences in image annotations. In this chapter we show that through the employment of a semantic framework for image annotation, vastly improved retrieval can be accomplished. We present a semantically-enabled annotation and retrieval engine which relies on methodically structured ontologies for image annotation, and demonstrate how it provides more accurate retrieval results as well as a richer set of alternatives matchmaking the original query.

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Semantic Annotation and Retrieval of Images in Digital Libraries

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