Search ETD Elements

dc.contributor.authorSun, Michaelen
dc.contributor.authorIqbal, Hamzaen
dc.contributor.authorHester, Joshuaen
dc.contributor.authorKim, Jiwonen
dc.contributor.authorHuynh, Marcusen
dc.date.accessioned2025-06-04T15:19:40Zen
dc.date.available2025-06-04T15:19:40Zen
dc.date.issued2025-05-08en
dc.descriptionRepository Links: Full-Stack Repository: https://code.vt.edu/cs4624-sp2025/search-etd-elements-full-stack Back-End Repository: https://code.vt.edu/cs4624-sp2025/search-etd-elements Front-End Repository: https://code.vt.edu/cs4624-sp2025/search-etd-elements-front-enden
dc.description.abstractETDs (Electronic Theses and Dissertations) are documents that are written by hard-working individuals, containing information about significant discoveries and achievements regarding their work. For our project, we continued building the system off of previous teams’ (mainly 2022 and 2023) objectives. This includes scaling the application from 200k ETDs to 500k ETDs, increasing indexing speed and search/retrieval speed, and adding additional web components to support figure and table captions. A critical component of this project is Elasticsearch, a search engine built on Apache Lucene, which is used to store and search these ETDs, figures, and captions.en
dc.description.notesCS4624 SP2025en
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://hdl.handle.net/10919/135052en
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsCC0 1.0 Universalen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/en
dc.titleSearch ETD Elementsen
dc.typeReporten
dc.type.dcmitypeTexten

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