M
Michael L. Nelson
Researcher at Old Dominion University
Publications - 430
Citations - 9042
Michael L. Nelson is an academic researcher from Old Dominion University. The author has contributed to research in topics: Web page & Digital library. The author has an hindex of 43, co-authored 388 publications receiving 8354 citations. Previous affiliations of Michael L. Nelson include Langley Research Center & University of Oklahoma.
Papers
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Proceedings ArticleDOI
DP9: an OAI gateway service for web crawlers
TL;DR: DP9 as discussed by the authors is an open source gateway service that allows general search engines to index OAI-compliant archives by providing consistent URLs for repository records, and converting them to OAI queries against the appropriate repository when the URL is requested.
Journal ArticleDOI
Why web sites are lost (and how they're sometimes found)
TL;DR: A Web-repository crawler named Warrick is created that restores lost resources from the holdings of four Web repositories collectively as the Web Infrastructure (WI), and a survey is constructed to explore after-loss recovery Lazy Preservation.
Book ChapterDOI
Web Archive Profiling Through CDX Summarization
Sawood Alam,Michael L. Nelson,Herbert Van de Sompel,Lyudmila Balakireva,Harihar Shankar,David S. H. Rosenthal +5 more
TL;DR: Using the CDX files produced after crawling, this work can generate profiles of the archives that summarize their holdings and can be used to inform routing of the Memento aggregator’s URI requests.
Journal ArticleDOI
Sex Differences in Peripheral Artery Disease
Maria A. Pabon,Susan Cheng,S. Elissa Altin,Sanjum S. Sethi,Michael L. Nelson,Kerrie L. Moreau,Naomi M. Hamburg,Connie N. Hess +7 more
TL;DR: An overview of current knowledge regarding sex differences in the epidemiology, pathophysiology, clinical presentation, and management of PAD is provided.
Journal ArticleDOI
Moved but not gone: an evaluation of real-time methods for discovering replacement web pages
Martin Klein,Michael L. Nelson +1 more
TL;DR: Analysis of four content- and link-based methods to rediscover missing Web pages indicates that Web pages are often not completely lost but have moved to a different location and “just” need to be rediscovered.