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 language | English (US) |
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Pages (from-to) | 80-89 |
Number of pages | 10 |
Journal | Proceedings of the International Conference on Dublin Core and Metadata Applications |
State | Published - 2008 |
Event | 8th Annual International Conference on Dublin Core and Metadata Applications, DC-2008 - Berlin, Germany Duration: Sep 22 2008 → Sep 26 2008 |
Keywords
- Collections
- Context
- Dublin Core
- Inferencing
- Logic
- Metadata
ASJC Scopus subject areas
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Software