On the role of logic in information retrieval
Information Processing and Management: an International Journal
Logical models in information retrieval: introduction and overview
Information Processing and Management: an International Journal
Journal of the American Society for Information Science
Using collection descriptions to enhance an aggregation of harvested item-level metadata
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Metadata aggregation and "automated digital libraries": a retrospective on the NSDL experience
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Pathways: augmenting interoperability across scholarly repositories
International Journal on Digital Libraries
The return of the trivial: problems formalizing collection/item metadata relationships
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
Analyzing metadata for effective use and re-use
DCMI '03 Proceedings of the 2003 international conference on Dublin Core and metadata applications: supporting communities of discourse and practice---metadata research & applications
Rule categories for collection/item metadata relationships
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
Expressiveness requirements for reasoning about collection/item metadata relationships
Proceedings of the 2011 iConference
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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-propagations, 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.