Repository logo
 

MAGELLAN: enabling effective search over voluminous, high-dimensional scientific datasets

dc.contributor.authorLarrieu, Federico A., author
dc.contributor.authorPallickara, Shrideep B., advisor
dc.contributor.authorPallickara, Sangmi L., advisor
dc.contributor.authorVijayasarathy, Leo R., committee member
dc.contributor.authorGhosh, Sudipto, committee member
dc.date.accessioned2025-06-02T15:19:53Z
dc.date.available2025-06-02T15:19:53Z
dc.date.issued2025
dc.description.abstractAs high-dimensional, voluminous datasets continue to become available, they present opportunities for users to perform richer explorations that lead to insights. Most explorations are however limited by the query semantics enforced by the underlying storage system. This precludes identification of connections that exists within and across datasets. This study describes, Magellan, a system that is designed for richer, iterative explorations that allow users to explore connections within and across datasets. Our methodology combines aspects of ontologies and metadata to support analysis that are domain informed and statistically richer. Our performance benchmarks demonstrate the suitability of our methodology to inform explorations interactively and at scale.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierLarrieu_colostate_0053N_18818.pdf
dc.identifier.urihttps://hdl.handle.net/10217/240924
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2020-
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectontology
dc.subjecttrees
dc.subjectsemantic web
dc.subjectknowledge graph
dc.titleMAGELLAN: enabling effective search over voluminous, high-dimensional scientific datasets
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineComputer Science
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Larrieu_colostate_0053N_18818.pdf
Size:
377.37 KB
Format:
Adobe Portable Document Format