<div class="csl-bib-body">
<div class="csl-entry">Heinzl, R., Nissl, M., & Sallinger, E. (2023). Towards Efficient Annotation Databases. In B. Kimelfeld, M. V. Martinez, & R. Angles (Eds.), <i>Proceedings of the 15th Alberto Mendelzon International Workshop on Foundations of Data Management (AMW 2023)</i>. CEUR-WS.org. https://doi.org/10.34726/5427</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/193572
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dc.identifier.uri
https://doi.org/10.34726/5427
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dc.description.abstract
Recent advances in machine learning have increased the demand for efficient annotation data management for machine learning applications by organizations. In this paper, we address this challenge through an industrial collaboration centered around the unification of data for training and prediction workflows by enabling fast analytical processing through summarization. Beyond this specific solution, we provide a very concrete real-world scenario and solution to the data management community as inspiration for further theoretical and practical research. Finally, we report on the open scientific challenges that remain in this field.
en
dc.description.sponsorship
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
-
dc.description.sponsorship
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
-
dc.description.sponsorship
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
-
dc.language.iso
en
-
dc.relation.ispartofseries
CEUR Workshop Proceedings
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Databases
en
dc.subject
Machine Learning
en
dc.subject
Requirements
en
dc.subject
Data Management
en
dc.subject
Solution
en
dc.subject
Open Challenges (theory)
en
dc.subject
Open Challenges (practice).
en
dc.subject
Real-time
en
dc.subject
Analytical
en
dc.subject
Base data ingestion
en
dc.subject
user devices
en
dc.subject
Storage
en
dc.subject
Metadata
en
dc.title
Towards Efficient Annotation Databases
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.identifier.doi
10.34726/5427
-
dc.contributor.affiliation
Building Digital Solutions 421 GmbH, Austria
-
dc.contributor.editoraffiliation
Technion – Israel Institute of Technology, Israel
-
dc.contributor.editoraffiliation
Artificial Intelligence Research Institute, Spain
-
dc.contributor.editoraffiliation
University of Talca, Chile
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dc.relation.grantno
VRG18-013
-
dc.relation.grantno
NXT22-018
-
dc.relation.grantno
ICT22-011
-
dc.rights.holder
(c) 2023 Copyright for this paper by its authors
-
dc.type.category
Full-Paper Contribution
-
dc.relation.eissn
1613-0073
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tuw.booktitle
Proceedings of the 15th Alberto Mendelzon International Workshop on Foundations of Data Management (AMW 2023)
-
tuw.container.volume
3409
-
tuw.peerreviewed
true
-
tuw.book.ispartofseries
CEUR Workshop Proceedings
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tuw.relation.publisher
CEUR-WS.org
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tuw.project.title
Scalable Reasoning in Knowledge Graphs
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tuw.project.title
Knowledge Graph-driven Tour Management for Sustainable Waste Processing
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tuw.project.title
Decompose and Conquer: Fast Query Processing via Decomposition
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tuw.researchTopic.id
I1
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tuw.researchTopic.name
Logic and Computation
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E192-02 - Forschungsbereich Databases and Artificial Intelligence
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dc.identifier.libraryid
AC17203428
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dc.description.numberOfPages
6
-
dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
tuw.editor.orcid
0000-0002-7156-1572
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tuw.editor.orcid
0000-0002-6740-9711
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tuw.event.name
AMW 2023 - 15th Alberto Mendelzon International Workshop on Foundations of Data Management
en
tuw.event.startdate
22-05-2023
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tuw.event.enddate
26-05-2023
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Santiago de Chile
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tuw.event.country
CL
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tuw.event.presenter
Sallinger, Emanuel
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wb.sciencebranch
Informatik
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wb.sciencebranch
Mathematik
-
wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
1010
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wb.sciencebranch.value
80
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wb.sciencebranch.value
20
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item.languageiso639-1
en
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item.openairetype
conference paper
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item.grantfulltext
open
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item.fulltext
with Fulltext
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Publications
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item.mimetype
application/pdf
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.openaccessfulltext
Open Access
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crisitem.author.dept
Building Digital Solutions 421 GmbH, Austria
-
crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence
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crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence
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crisitem.author.parentorg
E192 - Institut für Logic and Computation
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crisitem.author.parentorg
E192 - Institut für Logic and Computation
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crisitem.project.funder
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
-
crisitem.project.funder
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
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crisitem.project.funder
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
