2022 AACL AACL 2022

Use the Metadata, Luke! – An Experimental Joint Metadata Search and N-gram Trend Viewer for Personal Web Archives

Abstract

AbstractMany digital humanists (philologists, historians, sociologists, librarians, the audience for web archives) design their research around metadata (publication date ranges, sources, authors, etc.). However, current major web archives are limited to technical metadata while lacking high quality, descriptive metadata allowing for faceted queries. As researchers often lack the technical skill necessary to enrich existing web archives with descriptive metadata, they increasingly turn to creating personal web archives that contain such metadata, tailored to their research requirements. Software that enable creating such archives without advanced technical skills have gained popularity, however, tools for examination and querying are currently the missing link. We showcase a solution designed to fill this gap.

🧭 Keyword Pioneer — metadata search
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Machine Learning, Natural Language Processing, Speech & Audio