Model-Agnostic Evolution Management
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10507188" target="_blank" >RIV/00216208:11320/25:10507188 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-92474-3_15" target="_blank" >https://doi.org/10.1007/978-3-031-92474-3_15</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-92474-3_15" target="_blank" >10.1007/978-3-031-92474-3_15</a>
Alternative languages
Result language
angličtina
Original language name
Model-Agnostic Evolution Management
Original language description
This paper tackles a critical challenge in data management: adapting to evolving user requirements, a concept we term evolution management. Our approach specifically addresses the evolution management of multi-model data. By leveraging category theory, we provide an abstract representation of the combined models. We extend this categorical framework by introducing schema-modification operations of varying types and complexities. And, we propose corresponding propagation strategies to adapt queries, with a particular focus on mitigating the impact of decreasing information capacity. Through experimental verification, we demonstrate significant reductions in effort across different strategies and their effects on querying.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA23-07781S" target="_blank" >GA23-07781S: Self-Adapting Management of Multi-Model Databases</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
RESEARCH CHALLENGES IN INFORMATION SCIENCE, RCIS 2025, PT I
ISBN
978-3-031-92473-6
ISSN
1865-1348
e-ISSN
1865-1356
Number of pages
17
Pages from-to
245-261
Publisher name
SPRINGER INTERNATIONAL PUBLISHING AG
Place of publication
CHAM
Event location
Sevilla
Event date
May 20, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001545064600015