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Showing posts with the label Robust Links

2022-12-21: PDFServer - Our Summer Internship at LANL

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This summer (summer of 2022), we (Himarsha Jayanetti, Gavindya Jayawardena, and Yasith Jayawardana) got the opportunity to intern at the Los Alamos National Laboratory (LANL) under the Graduate Research Assistant Program . Himarsha and Yasith worked as a part of the Library's Research and Prototyping Team  (Proto Team) under the supervision of Drs. Martin Klein and Shawn M. Jones . Gavindya was supervised by Brian Cain on the Institutional Scientific Content (ISC) Team. Each of us was responsible for one of the three main components that make up the "PDFServer". What is the PDFServer? PDFServer is a prototype to support LANL's Review and Approval System for Scientific and Technical Information (RASSTI) , which is the starting point for collecting LANL’s documented scientific output and it provides workflows for authors and reviewers. The overall architecture of the PDFServer is displayed in Figure 1. We selected Laravel 9.11 , which is a PHP web application framewo...

2022-08-04: Web Archiving in Popular Media II: User Tasks of Journalists

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Figure 1: The two most common goals for journalists who use web archives as evidence in their articles is to view unavailable pages and to view page content change over time. Different groups of users collectively have different levels of understanding about web archives. In a previous post from 2016, Web Archiving in Popular Media , Scott Ainsworth demonstrated the emergence of web archives as evidence in journalism. The list of news articles that he presented as examples was a novel contribution at that time. Users with a strong mental model for the past web could benefit from advanced web archives features such as full-text search. What is the current mental model for web archives held by journalists, and how do web archives help journalists? Collecting Articles that Reference Web Archives In " Where'd it Go? " (2007), Teevan analyzed a set of web pages that were collected from a phrase search with the goal of understanding user behavior about re-finding [1]. By searc...