Computationally Supported Collection-level Descriptions in Large Heterogeneous Metadata Aggregations

Karadkar, Unmil P.; Wickett, Karen M.; Parikh, Madhura; Furuta, Richard; Sheehy, Joshua; Junnutula, Meghanath Reddy; Tzou, Jeremy

doi:10.1145/2756406.2756970

Cited by 2 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, the Computational Collection Description project worked to develop computational techniques to generate collection-level metadata elements from item values from the Digital Public Library of America. This project demonstrated the feasibility of implementing CIMR in a large-scale digital aggregation by generating collection-level subject, date, and geographic metadata elements (Karadkar et al , 2015).…”

Section: Discussionmentioning

confidence: 99%

A logic-based framework for collection/item metadata relationships

Wickett¹

2018

Self Cite

View full text Add to dashboard Cite

Purpose The purpose of this paper is to present a framework for the articulation of relationships between collection-level and item-level metadata as logical inference rules. The framework is intended to allow the systematic generation of relevant propagation rules and to enable the assessment of those rules for particular contexts and the translation of rules into algorithmic processes. Design/methodology/approach The framework was developed using first order predicate logic. Relationships between collection-level and item-level description are expressed as propagation rules – inference rules where the properties of one entity entail conclusions about another entity in virtue of a particular relationship those individuals bear to each other. Propagation rules for reasoning between the collection and item level are grouped together in the framework according to their logical form as determined by the nature of the propagation action and the attributes involved in the rule. Findings The primary findings are the analysis of relationships between collection-level and item-level metadata, and the framework of categories of propagation rules. In order to fully develop the framework, the paper includes an analysis of colloquial metadata records and the collection membership relation that provides a general method for the translation of metadata records into formal knowledge representation languages. Originality/value The method for formalizing metadata records described in the paper represents significant progress in the application of knowledge representation techniques to problems of metadata creation and management, providing a flexible technique for encoding colloquial metadata as a set of statements in first-order logic. The framework of rules for collection/item metadata relationships has a range of potential applications for the enhancement or metadata systems and vocabularies.

show abstract

Section: Discussionmentioning

confidence: 99%