Orchestrating Metadata Enhancement Services: Introducing Lenny
Jon Phipps, Diane I. Hillmann, Gordon Paynter
TL;DR
This paper presents Lenny, a service orchestration model for scalable, automated metadata enhancement, improving metadata quality in digital libraries through loosely-coupled, centrally-managed services.
Contribution
It introduces a novel service interaction model that enables scalable, automated metadata repair and enhancement within digital library environments.
Findings
Enabled scalable metadata enhancement services
Improved metadata quality in digital repositories
Demonstrated effective service orchestration
Abstract
Harvested metadata often suffers from uneven quality to the point that utility is compromised. Although some aggregators have developed methods for evaluating and repairing specific metadata problems, it has been unclear how these methods might be scaled into services that can be used within an automated production environment. The National Science Digital Library (NSDL), as part of its work with INFOMINE, has developed a model of ser-vice interaction that enables loosely-coupled third party services to provide metadata enhancements to a central repository, with interactions orchestrated by a centralized software application.
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