Collection/item metadata relationships

Allen H. Renear, Karen M. Wickett, Richard J. Urban, David Dubin, Sarah L. Shreeves

Research output: Contribution to journalConference article

5 Scopus citations

Abstract

Contemporary retrieval systems, which search across collections, usually ignore collection-level metadata. Alternative approaches, exploiting collection-level information, will require an understanding of the various kinds of relationships that can obtain between collection-level and item-level metadata. This paper outlines the problem and describes a project that is developing a logic-based framework for classifying collection/item metadata relationships. This framework will support (i) metadata specification developers defining metadata elements, (ii) metadata creators describing objects, and (iii) system designers implementing systems that take advantage of collection-level metadata. We present three examples of collection/item metadata relationship categories, attribute/value-propagation, value-propagation, and value-constraint and show that even in these simple cases a precise formulation requires modal notions in addition to first-order logic. These formulations are related to recent work in information retrieval and ontology evaluation.

Original languageEnglish (US)
Pages (from-to)80-89
Number of pages10
JournalProceedings of the International Conference on Dublin Core and Metadata Applications
StatePublished - Dec 1 2008
Event8th Annual International Conference on Dublin Core and Metadata Applications, DC-2008 - Berlin, Germany
Duration: Sep 22 2008Sep 26 2008

Keywords

  • Collections
  • Context
  • Dublin Core
  • Inferencing
  • Logic
  • Metadata

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Renear, A. H., Wickett, K. M., Urban, R. J., Dubin, D., & Shreeves, S. L. (2008). Collection/item metadata relationships. Proceedings of the International Conference on Dublin Core and Metadata Applications, 80-89.