NDLI: A Metadata Augmentation for Semantic and Context-Based Retrieval of Digital Cultural Objects

Content Provider	IEEE Xplore Digital Library
Author	Pham, Binh Smith, Robert
Copyright Year	2007
Abstract	Cultural objects are increasingly stored and generated in digital form, yet effective methods for their indexing and retrieval still remain an open area of research. The main problem arises from the disconnection between the content-based indexing approach used by computer scientists and the description-based approach used by information scientists. There is also a lack of representational schemes that allow the alignment of the semantics and context with keywords and low-level features that can be automatically extracted from the content of these cultural objects. This paper presents an integrated approach to address these problems, taking advantage of both computer science and information science approaches. The focus is on the rationale and conceptual design of the system and its various components. In particular, we discuss techniques for augmenting commonly used metadata with visual features and domain knowledge to generate high-level abstract metadata which in turn can be used for semantic and context-based indexing and retrieval. We use a sample collection of Vietnamese traditional woodcuts to demonstrate the usefulness of this approach. .
Starting Page	515
Ending Page	522
File Size	328374
Page Count	8
File Format	PDF
ISBN	0769530672
DOI	10.1109/DICTA.2007.4426840
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-03
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Information science Art Digital images Image retrieval Computer applications Information retrieval Cultural differences Information technology Indexing
Content Type	Text
Resource Type	Article

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