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dc.contributor.authorPark, Jung-ran
dc.contributor.authorYang, Chris
dc.contributor.authorTosaka, Yuji
dc.contributor.authorPing, Qing
dc.contributor.authorEl mimouni, Houda
dc.identifier.citationJung-ran Park, Chris Yang, Yuji Tosaka, Qing Ping & Houda El Mimouni. Developing an automatic crawling system for populating a digital repository of professional development resources: A pilot study. Journal of Electronic Resources Librarianship Vol. 28, Iss. 2, 2016: 63-72.en_US
dc.descriptionFile not available for download due to copyright restrictionsen_US
dc.description.abstractThis study is a part of the larger project that develops a sustainable digital repository of professional development resources on emerging data standards and technologies for data organization and management in libraries. Toward that end, the project team developed an automated workflow to crawl for, monitor, and classify relevant web objects into searchable professional development categories. In this study we present the rapid prototyping approach and the iteration and ranking processes used to develop the automatic crawling system. In its final form, the repository will constitute self-sustaining continuing education resources for the cataloging and metadata community.en_US
dc.description.sponsorshipInstitute of Museum and Library Servicesen_US
dc.subjectContinuing educationen_US
dc.subjectCataloging and metadata professionalsen_US
dc.subjectAutomatic crawling systemen_US
dc.subjectDigital repositoryen_US
dc.subjectProfessional development resourcesen_US
dc.subjectData standards and technologiesen_US
dc.titleDeveloping an automatic crawling system for populating a digital repository of professional development resources: A pilot studyen_US
prism.publicationNameJournal of Electronic Resources Librarianshipen_US

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