Towards Armstrong-Style Inference System for Attribute Implications with Temporal Semantics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F14%3A33150863" target="_blank" >RIV/61989592:15310/14:33150863 - isvavai.cz</a>
Result on the web
<a href="http://download.springer.com/static/pdf/508/chp%253A10.1007%252F978-3-319-12054-6_8.pdf?auth66=1420636288_012d7fe92381b80165b52e80b300fe8c&ext=.pdf" target="_blank" >http://download.springer.com/static/pdf/508/chp%253A10.1007%252F978-3-319-12054-6_8.pdf?auth66=1420636288_012d7fe92381b80165b52e80b300fe8c&ext=.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-12054-6_8" target="_blank" >10.1007/978-3-319-12054-6_8</a>
Alternative languages
Result language
angličtina
Original language name
Towards Armstrong-Style Inference System for Attribute Implications with Temporal Semantics
Original language description
We show a complete axiomatization of a logic of attribute implications describing dependencies between attributes of objects which are observed in consecutive points in time. The attribute implications we consider are if-then formulas expressing presenceof attributes of objects relatively in time. The semantics of the attribute implications is defined based on presence/absence of attributes of objects in consecutive points of time. The presented results extend the classic results on Armstrong-style completeness of the logic of attribute implications by using the time points as additional component. The ordinary results can be seen as special case of our results when only a single time point is considered.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA14-11585S" target="_blank" >GA14-11585S: Relational Similarity-Based Databases</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Modeling Decisions for Artificial Intelligence - 11th International Conference, MDAI 2014, Tokyo, Japan, October 29-31, 2014. Proceedings
ISBN
978-3-319-12053-9
ISSN
0302-9743
e-ISSN
—
Number of pages
12
Pages from-to
84-95
Publisher name
Springer
Place of publication
Heidelberg
Event location
Tokyo
Event date
Oct 29, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000345587400008