Interval-Based Representation is a temporal data modeling approach that uses time intervals as the fundamental unit to represent the valid time periods during which a fact holds true in a temporal database, distinguishing it from point-based or event-based representations by explicitly capturing duration and temporal extent.
409
Publications
20.3K
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865
Authors
473
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Publications per year
2017–2026
68
Variants
Interval-based Data Model
Parents
Publications
409
Constraint propagation algorithms for temporal reasoning
Marc Vilain, Henry Kautz · 1986 · 643 citations
Conal Elliott, Paul Hudak · 1997 · 618 citations
1–5 of 409
Authors
865
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Institutions
473
Centre National de la Recherche Scientifique
Paris, France
12 h-index
21 publications
570 citations
Stanford University
Stanford, United States
10 h-index
11 publications
848 citations
Universidade Federal do Rio Grande do Norte
Natal, Brazil
9 h-index
20 publications
738 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
8 h-index
13 publications
395 citations
Politecnico di Milano
Milan, Italy
6 h-index
9 publications
177 citations
Tamkang University
Taipei, Taiwan
6 h-index
12 publications
249 citations
Ben-Gurion University of the Negev
Beersheba, Israel
6 h-index
8 publications
413 citations
Free University of Bozen-Bolzano
Bolzano, Italy
6 h-index
12 publications
357 citations
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Venues
- Information Sciences
13 publications · 412 citations
12
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- IEEE Transactions on Fuzzy Systems
TFS · 8 publications · 983 citations
8
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- PubMed
Repository · 8 publications · 257 citations
8
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- IEEE Transactions on Knowledge and Data Engineering
TKDE · 7 publications · 378 citations
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- Data & Knowledge Engineering
DKE · 5 publications · 324 citations
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