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Maintaining knowledge about temporal intervals
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article Free Access Share on Maintaining knowledge about temporal intervals Author: James F. Allen Univ. of Rochester, Rochester, NY Univ. of Rochester, Rochester, NYView Profile Authors Info & Claims Communications of the ACMVolume 26Issue 11Nov. 1983 pp 832–843https://doi.org/10.1145/182.358434Online:01 November 1983Publication History 5,173citation11,531DownloadsMetricsTotal Citations5,173Total Downloads11,531Last 12 Months644Last 6 weeks101 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
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“Allen-relation selection on the operator output preserves the bitemporal-tuple type by closure of Allen's thirteen interval relations and the twelve-relation transitivity table that omits equality [3].”
From TOKI: A Bitemporal Operator Algebra for Contradiction Resolution in LLM-Agent Persistent Memory (2026) · cites this paper as [3]
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“Closure under Allen-relation selection follows from the transitivity table over the twelve non-equality relations [3].”
From TOKI: A Bitemporal Operator Algebra for Contradiction Resolution in LLM-Agent Persistent Memory (2026) · cites this paper as [3]
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Cites
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Research works printed but not linked: 18
- Allen J. F., 1982, Proc. Nat. Conf. on Artificial Intelligence, AAAI 82
- Allen J. F., 1983, Contributions in Artificial Intelligence, 1
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Items 101–200 of 1,006
Spatio-temporal conceptual models: data structures + space + time
Parent, C., Spaccapietra, S., & Zimányi, E. (1999) · ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems · doi:10.1145/320134.320142 · Cited by 254
“Synchronization relationships are defined using Allen’s operators [1] extended for temporal elements.”
MethodOn scene interpretation with description logics
Neumann, B., & Möller, R. (2008) · Image and Vision Computing · doi:10.1016/j.imavis.2007.08.013 · Cited by 250
“Examples of concrete domain predicates interesting for scene interpretation are inequalities over real numbers, Allen’s interval calculus [41], or the RCC-8 calculus about spatial regions [42].”
BackgroundPartial orders for parallel debugging
Fidge, C. (1988) · Workshop on Parallel and Distributed Debugging · doi:10.1145/68210.69233 · Cited by 248
O'Rorke, P., & Ortony, A. (1994) · Cognitive Sciences · doi:10.1207/s15516709cog1802_3 · Cited by 248
“The use of representation and reasoning methods suggested by Allen (1981) might help address this limitation.”
MethodNew Regularized Algorithms for Transductive Learning
Talukdar, P. P., & Crammer, K. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04174-7_29 · Cited by 209
“Adsorption [1] is a general algorithmic framework for transductive learning where the learner is often given a small set of labeled examples and a very large set of unlabeled examples.”
BackgroundMethodInfluentialLearning and interacting in human-robot domains
Nicolescu, M. N., & Matarić, M. (2001) · IEEE Trans. Syst. Man Cybern. Part A · doi:10.1109/3468.952716 · Cited by 243
“Similar to the interval-based time representation of [16], we consider that for any behaviorsand , the postconditions of being met and behavior being active are time extended events that take place during the intervals and , respectively (Fig.”
ResultMaking Space for Time: Issues in Space-Time Data Representation
Peuquet, D. (1999) · Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99 · doi:10.1109/dexa.1999.795200 · Cited by 242
“Likewise, a robust system of``topological'' temporal relationships for time intervals were de®ned by Allen [4] and subsequently re®ned [45].”
BackgroundComplexity and algorithms for reasoning about time: a graph-theoretic approach
Golumbic, M. C., & Shamir, R. (1993) · JACM · doi:10.1145/174147.169675 · Cited by 242
van Benthem, J., & Aiello, M. (2007) · Handbook of Spatial Logics · doi:10.1007/978-1-4020-5587-4_5 · Cited by 240
“As such, it is close to ‘region versus points’ theories of time and space (Allen, 1983; Allen and Hayes, 1985; Benthem, 1983; Randell et al., 1992).”
BackgroundSpatial Relations, Minimum Bounding Rectangles, and Spatial Data Structures
Papadias, D., & Theodoridis, Y. (1997) · International Journal of Geographical Information Science · doi:10.1080/136588197242428 · Cited by 238
“The sum of all numbers in Figure 7b is 169, that is, there are 169 unique placements for the edge points and therefore 169 possible relations between MBRs (this number is the square of possible relations between time intervals introduced in Allen 1983).”
BackgroundQualitative Spatial Representation and Reasoning Techniques
Cohn, A. (1997) · Deutsche Jahrestagung für Künstliche Intelligenz · doi:10.1007/3540634932_1 · Cited by 235
“Continuity networks de ning such neighbours are often called conceptual neighbourhoods in the literature following the use of the term [55] to describe the of structure Allen's 13 JEPD temporal relations [1] according to their conceptual closeness (e.”
BackgroundConstraint Reasoning Based on Interval Arithmetic: The Tolerance Propagation Approach
Hyvönen, E. (1992) · Artificial Intelligence · doi:10.1016/0004-3702(92)90005-i · Cited by 233
Compliance monitoring in business processes: Functionalities, application, and tool-support
Ly, L. T., Maggi, F., Montali, M., Rinderle-Ma, S., & van der Aalst, W. M. P. (2015) · Information Systems · doi:10.1016/j.is.2015.02.007 · Cited by 232
“Since the compliance rule language predicates in this case over durative temporal entities, it relies on an interval algebra (such as the one by Allen [69]) to relate the execution of different activities over time.”
Specifying and verifying requirements of real-time systems
Hansen, K. M., Ravn, A., & Rischel, H. (1991) · SIGSOFT '91 · doi:10.1145/125083.123051 · Cited by 232
Discovering Temporal Patterns for Interval-Based Events
Kam, P.-S., & Fu, A. (2000) · International Conference on Data Warehousing and Knowledge Discovery · doi:10.1007/3-540-44466-1_32 · Cited by 229
“Allen's taxonomy of temporal relationships [3] is adopted to describe the basic relationships among events and summarized in Figure 1.”
MethodA Critical Examination of Allen's Theory of Action and Time
Galton, A. (1990) · Artificial Intelligence · doi:10.1016/0004-3702(90)90053-3 · Cited by 228
“Amongst the work that has been most influential in this area is that of Allen (1981, 1983, 1984) and McDermott (1982).”
BackgroundLadkin, P., & Maddux, R. (1994) · JACM · doi:10.1145/176584.176585 · Cited by 226
Survey on challenges of Question Answering in the Semantic Web
Höffner, K., Walter, S., Marx, E., Usbeck, R., Lehmann, J., & Ngomo, A.-C. N. (2017) · Semantic Web · doi:10.3233/sw-160247 · Cited by 221
“They introduce the Clinical Narrative Temporal Relation Ontology (CNTRO), which is based on Allen’s Interval Based Temporal Logic [5] but allows usage of time instants as well as intervals.”
MethodHigh-level event recognition in unconstrained videos
Jiang, Y., Bhattacharya, S., Chang, S., & Shah, M. A. (2012) · International Journal of Multimedia Information Retrieval · doi:10.1007/s13735-012-0024-2 · Cited by 174
“, a terminal precedes another using Allen’s temporal algebra [3].”
MethodKulkarni, K., & Michels, J.-E. (2012) · SGMD · doi:10.1145/2380776.2380786 · Cited by 219
“DATE '2011-01-01') Period predicates are functionally similar to (but not identical to) the well-known Allen’s interval operators [11].”
ResultGoodwin, G. P., & Johnson-Laird, P. (2005) · Psychology Review · doi:10.1037/0033-295x.112.2.468 · Cited by 219
“Studies of diagrams based on the 13 possible relations between two time intervals (Allen, 1983) showed that individuals have definite preferences in combining them (Knauff, Rauh, & Schlieder, 1995).”
BackgroundMoments and points in an interval‐based temporal logic
Allen, J. F., & Hayes, P. (1989) · International Conference on Climate Informatics · doi:10.1111/j.1467-8640.1989.tb00329.x · Cited by 218
“We will also use the abbreviations for disjunctions used in [Allen, 1983] The thirteenth relationship is equality.”
BackgroundMethodInfluentialSelf-citationFreksa, C. (1990) · Forschungsberichte, TU Munich · doi:10.1007/978-94-011-2606-9_20 · Cited by 218
CATER: A diagnostic dataset for Compositional Actions and TEmporal ReasoningPreprint
Girdhar, R., & Ramanan, D. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1910.04744 · Cited by 116
“Exhaustive list of temporal relations between intervals, as defined by Allen’s algebra (Allen, 1983).”
BackgroundFrom Local to Global Consistency
Dechter, R. (1990) · Artificial Intelligence · doi:10.1016/0004-3702(92)90043-w · Cited by 217
“Allen's algebra [1], for example, defines thirteen possible relations between time intervals and provides a transitivity table for their propagation.”
BackgroundEfficient checking of temporal integrity constraints using bounded history encoding
Chomicki, J. (1995) · ACM Transactions on Database Systems · doi:10.1145/210197.210200 · Cited by 216
Perceptual Components for Context Aware Computing
Crowley, J., Coutaz, J., Rey, G., & Reignier, P. (2002) · Ubiquitous Computing · doi:10.1007/3-540-45809-3_9 · Cited by 215
“Relations that are important for describing context include 2D and 3D spatial relations, as well as temporal relations [32].”
BackgroundKnow Rob 2.0 — A 2nd Generation Knowledge Processing Framework for Cognition-Enabled Robotic Agents
Beetz, M., Beßler, D., Haidu, A., Pomarlan, M., Bozcuoğlu, A., & Bartels, G. (2018) · IEEE International Conference on Robotics and Automation · doi:10.1109/icra.2018.8460964 · Cited by 214
“Allen’s time interval algebra [21] focuses on reasoning about time intervals, and languages such as”
BackgroundThe complexity of querying indefinite data about linearly ordered domains
van der Meyden, R. (1992) · Journal of computer and system sciences (Print) · doi:10.1145/137097.137902 · Cited by 214
Dialogue Act Classification, Instance-Based Learning, and Higher Order Dialogue Structure
Rus, V., Wyse, B., Piwek, P., Lintean, M. C., Stoyanchev, S., & Moldovan, C. (2010) · doi:10.5087/d · Cited by 209
“These options are supplemented with the corresponding fine-grained temporal relation types of Allen (1983)’s classification.”
Composing cardinal direction relations
Skiadopoulos, S., & Koubarakis, M. (2001) · Artificial Intelligence · doi:10.1016/s0004-3702(03)00137-1 · Cited by 209
“Such relations are described by applying Allen’s [2] interval relations along the projections of regions to the x- and yaxes.”
MethodModeling Urgency in Timed Systems
Bornot, S., Sifakis, J., & Tripakis, S. (1997) · The Composer · doi:10.1007/3-540-49213-5_5 · Cited by 209
Spatial Reasoning with Propositional Logics
Bennett, B. (1994) · International Conference on Principles of Knowledge Representation and Reasoning · doi:10.1016/b978-1-4832-1452-8.50102-0 · Cited by 209
Computational Complexity of Terminological Reasoning in BACK
Nebel, B. (1988) · Artificial Intelligence · doi:10.1016/0004-3702(88)90066-5 · Cited by 208
“Therefore in practical systems tractable but incomplete algorithms are often used, as for example, in the terminological component of KL-TWO [9], in the reasoning maintenance system RUP [14], and in Allen's temporal reasoner 1].”
MethodÖztürk, M., Tsoukiás, A., & Vincke, P. (2004) · Preferences · doi:10.1007/978-3-642-46550-5 · Cited by 207
“…[42], [111], [110], [37]), political science ([15], [177]), artificial intelligence ([65]), computer science ([175],[187]), temporal logic (see [6]) and the interval satisfiability problem ([91] [148]) mathematical programming ([156], [155]), electronic business, medicine and biology ([22],…”
BackgroundGrounding words in perception and action: computational insights
Roy, D. K. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.06.013 · Cited by 159
“Temporal relations between force dynamics features are specified using ‘Allen relations’, which encode 13 possible logical relations between pairs of time intervals [ 48 ].”
MethodData Analysis, Machine Learning, and Applications
Preisach, C., Burkhardt, H., Schmidt-Thieme, L., & Decker, R. (2008) · Studies in classification, data analysis, and knowledge organization · doi:10.1007/978-3-540-78246-9 · Cited by 206
Automating Temporal Annotation with TARSQI
Verhagen, M., Mani, I., Saurí, R., Littman, J., Knippen, R., Jang, S. B., Rumshisky, A., Phillips, J., & Pustejovsky, J. (2005) · Annual Meeting of the Association for Computational Linguistics · doi:10.3115/1225753.1225774 · Cited by 205
“SputLink is based on James Allen’s interval algebra (1983) and was inspired by (Setzer, 2001) and (Katz and Arosio, 2001) who both added a closure component to an annotation environment.”
MethodRecognizing Complex Activities by a Probabilistic Interval-Based Model
Liu, L., Cheng, L., Liu, Y., Jia, Y., & Rosenblum, D. S. (2016) · AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v30i1.10155 · Cited by 204
“(Allen 1983). different ways of composing atomic activities and their temporal dependencies.”
BackgroundInfluentialTemporal Query Languages: A Survey
Chomicki, J. (1994) · International Conference on Temporal Logic · doi:10.1007/bfb0014006 · Cited by 204
“In the AI view [5, 35], however, time is usually assumed to be dense.”
BackgroundPlanning and reacting in uncertain and dynamic environments
Wilkins, D., Myers, K. L., Lowrance, J., & Wesley, L. P. (1995) · Journal of experimental and theoretical artificial intelligence (Print) · doi:10.1080/09528139508953802 · Cited by 204
Variable and Value Ordering Heuristics for the Job Shop Scheduling Constraint Satisfaction Problem
Sadeh, N., & Fox, M. (1996) · Artificial Intelligence · doi:10.1016/0004-3702(95)00098-4 · Cited by 203
“If the model was to allow for other temporal constraints such 2 as those described in [Allen 83], the complexity of the algorithm would be O(ν k ).”
MethodDense Event Ordering with a Multi-Pass Architecture
Chambers, N., Cassidy, T., McDowell, B., & Bethard, S. (2014) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00182 · Cited by 202
An agent-based approach for managing e-commerce activities
Mitchell, H. (2004) · doi:10.1002/int.v19:5 · Cited by 202
Qualitative Analysis of MOS Circuits
Williams, B. (1984) · Artificial Intelligence · doi:10.1016/0004-3702(84)90041-9 · Cited by 201
“Allen supports this argument with the following example [2]:”
BackgroundMethodKnowledge-Based Image Retrieval with Spatial and Temporal Constructs
Chu, W., Hsu, C.-C., Cardenas, A., & Taira, R. (1997) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/69.738355 · Cited by 200
Doing Time: Putting Qualitative Reasoning on Firmer Ground
Williams, B. (1986) · AAAI Conference on Artificial Intelligence · doi:10.1016/b978-1-4832-1447-4.50032-8 · Cited by 200
From Temporal Expressions To Temporal Information: Semantic Tagging Of News Messages
Schilder, F., & Habel, C. (2001) · The Language of Time - A Reader · doi:10.3115/1118238.1118247 · Cited by 199
“Note that the seven temporal relations employed by the current versionare equivalent to setsof Allen’s interval relations(Allen, 1983).4 before after incl at starts finishes excl Table1: thetemporalrelationsused”
BackgroundMethodInfluentialspacetime: Spatio-Temporal Data inR
Pebesma, E. J. (2012) · Journal of Statistical Software · doi:10.18637/jss.v051.i07 · Cited by 193
“Package lubridate (Grolemund and Wickham 2011) allows one to explicitly define and compute with time intervals (e.g., Allen (1983)).”
Post, A. R., & Harrison, J. H. (2008) · Clinics in Laboratory Medicine · doi:10.1016/j.cll.2007.10.005 · Cited by 195
“2) [8], or Dechter and colleagues [9] system of numerical relationships (eg, before by at least 2 days).”
BackgroundArvor, D., Durieux, L., Andrés, S., & Laporte, M.-A. (2013) · doi:10.1016/j.isprsjprs.2013.05.003 · Cited by 194
“, 1992) and Allen’s interval algebra (Allen, 1983) have been proposed and widely accepted.”
BackgroundGrigni, M., Papadias, D., & Papadimitriou, C. (1995) · International Joint Conference on Artificial Intelligence · doi:10.1090/surv/209/05 · Cited by 192
“The complete table of such one-step inferences was derived in [Egenhofer,1991; Smith and Park,1992] (see Table 1; notice that this is an extension -as we shall see, a surprisingly subtle one-of Allen's classical work on temporal intervals [Allen,1983]).”
Towards Ontological Foundations for the Conceptual Modeling of Events
Guizzardi, G., Wagner, G., Falbo, R. D. A., Guizzardi, R., & Almeida, J. P. (2013) · International Conference on Conceptual Modeling · doi:10.1007/978-3-642-41924-9_27 · Cited by 190
“For instance, our mereology of events corresponds to the standards treatment of events in the philosophical literature [13]; the notion of participation is articulated here as the perdurant counterpart of the notion of qua individuals (or role instances) [3]; the treatment of temporal ordering of events adopted here (…”
BackgroundMethodInfluentialFrom Objects to Events: GEM, the Geospatial Event Model
Worboys, M., & Hornsby, K. (2004) · International Conference Geographic Information Science · doi:10.1007/978-3-540-30231-5_22 · Cited by 189
“Reasoning about temporal relationships between temporal settings that are intervals is handled by Allen's interval calculus (Allen 1983) for the linear case and for cycles by Hornsby et al. (1999).”
BackgroundRepresenting and Reasoning with Qualitative Spatial Relations About Regions
Cohn, A. G., Bennett, B., Gooday, J., & Gotts, N. (1997) · doi:10.1007/978-0-585-28322-7_4 · Cited by 189
“Allen's interval calculus (Allen 1983) is best known within AI; however, the credit for inventing such calculi is not due to him; Van Benthem (1983) describes an interval calculus, while (Nicod 1924, chapter 2) is probably the earliest such system.”
BackgroundHTN planning: Overview, comparison, and beyond
Georgievski, I., & Aiello, M. (2015) · Artificial Intelligence · doi:10.1016/j.artint.2015.02.002 · Cited by 187
“On the other hand, SIADEX provides clear explanations about its temporal reasoning mechanism and supports all relations defined independently by Allen [82] and van Benthem [83].”
BackgroundKoubarakis, M., & Kyzirakos, K. (2010) · Extended Semantic Web Conference · doi:10.1007/978-3-642-13486-9_29 · Cited by 187
“We allow any of the thirteen interval relations identified by Allen in [21] to be used as the interval predicates e.”
MethodQualitative spatial reasoning using orientation, distance, and path knowledge
Zimmermann, K., & Freksa, C. (2004) · Applied intelligence (Boston) · doi:10.1007/bf00117601 · Cited by 187
Database Updates in the Event Calculus
Kowalski, R. (1992) · The Journal of Logic Programming · doi:10.1016/0743-1066(92)90041-z · Cited by 186
Specifications for efficient indexing in spatiotemporal databases
Theodoridis, Y., Sellis, T., Papadopoulos, A., & Manolopoulos, Y. (1998) · Proceedings. Tenth International Conference on Scientific and Statistical Database Management (Cat. No.98TB100243) · doi:10.1109/ssdm.1998.688117 · Cited by 185
“Although a formal set of spatiotemporal operators, in correspondence to the topological / directional models [6, 18] between spatial regions or Allen's relations [1] between temporal intervals, is lacking, proposals for spatiotemporal indexing should be able to support specific spatiotemporal operations, such as the o…”
BackgroundQualitative and Topological Relationships in Spatial Databases
Cui, Z., Cohn, A., & Randell, D. (1993) · International Multi-Conference on Systems, Signals & Devices · doi:10.1007/3-540-56869-7_17 · Cited by 183
Temporal logics for real-time system specification
Bellini, P., Mattolini, R., & Nesi, P. (2000) · CSUR · doi:10.1145/349194.349197 · Cited by 182
Mining Nonambiguous Temporal Patterns for Interval-Based Events
Wu, S.-Y., & Chen, Y.-L. (2007) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2007.190613 · Cited by 181
“Ç”
Toward Self-Reconfiguration of Manufacturing Systems Using Automation Agents
Lepuschitz, W., Zoitl, A., Vallée, M., & Merdan, M. (2011) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2010.2059012 · Cited by 181
“Timing is expressed using time intervals [70].”
Stream reasoning and complex event processing in ETALIS
Anicic, D., Rudolph, S., Fodor, P., & Stojanović, N. (2012) · Semantic Web · doi:10.3233/sw-2011-0053 · Cited by 179
“It is worth noting that the defined pattern language captures the set of all possible 13 relations on two temporal intervals as defined in [3].”
BackgroundSupporting valid-time indeterminacy
Dyreson, C., & Snodgrass, R. (1998) · ACM Transactions on Database Systems · doi:10.1145/288086.288087 · Cited by 178
Can AI planners solve practical problems?
Wilkins, D. (1990) · International Conference on Climate Informatics · doi:10.1111/j.1467-8640.1990.tb00297.x · Cited by 178
Mining relationships among interval-based events for classification
Patel, D., Hsu, W., & Lee, M. L. (2008) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/1376616.1376658 · Cited by 170
A conceptual framework and taxonomy of techniques for analyzing movement
Andrienko, G., Andrienko, N., Bak, P., Keim, D., Kisilevich, S., & Wrobel, S. (2011) · Journal of Visual Languages and Computing · doi:10.1016/j.jvlc.2011.02.003 · Cited by 176
“The types of spatial and temporal relations are considered in the literature on temporal and spatial reasoning (e.g. [8,9]) and on geographic information systems (e.g. [10]).”
BackgroundA Modal Logic for Chopping Intervals
Venema, Y. (1991) · Journal of Logic and Computation · doi:10.1093/logcom/1.4.453 · Cited by 176
“It is well known [1,3] that in linear time structures there are thirteen such relations.”
BackgroundSpatio-temporal composition and indexing for large multimedia applications
Vazirgiannis, M., Theodoridis, Y., & Sellis, T. (1998) · Multimedia Systems · doi:10.1007/s005300050094 · Cited by 175
“Existing models are mainly based on the relations defined in [Hamb72, Alle83 ] for expressing knowledge about time.”
BackgroundMethodInfluentialRepresentations for robot knowledge in the KnowRob framework
Tenorth, M., & Beetz, M. (2017) · Artificial Intelligence · doi:10.1016/j.artint.2015.05.010 · Cited by 173
Case-Based Planning and Execution for Real-Time Strategy Games
Ontañón, S., Mishra, K., Sugandh, N., & Ram, A. (2007) · International Conference on Case-Based Reasoning · doi:10.1007/978-3-540-74141-1_12 · Cited by 173
“The kind of analysis required is a simplified version of the temporal reasoning framework presented by Allen [7], where the 13 basic different temporal relations among events were identified.”
BackgroundFails, J., Karlson, A. K., Shahamat, L., & Shneiderman, B. (2006) · 2006 IEEE Symposium On Visual Analytics Science And Technology · doi:10.1109/vast.2006.261421 · Cited by 172
“There is considerable overlap between these areas.”
What Is a Qualitative Calculus? A General Framework
Ligozat, G., & Renz, J. (2004) · Pacific Rim International Conference on Artificial Intelligence · doi:10.1007/978-3-540-28633-2_8 · Cited by 172
“Basic relations are defined in the usual way [1].”
A review of temporal database research and its use in GIS applications
Langran, G. (1989) · International Journal of Geographical Information Science · doi:10.1080/02693798908941509 · Cited by 171
Complex Temporal Question Answering on Knowledge Graphs
Jia, Z., Pramanik, S., Roy, R. S., & Weikum, G. (2021) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/3459637.3482416 · Cited by 136
“Ans. when was james cagney’s spouse born? when was the last time the orioles won the world series?”
BackgroundMerging BIM and GIS using ontologies application to urban facility management in ACTIVe3D
Mignard, C., & Nicolle, C. (2014) · Computers in industry (Print) · doi:10.1016/j.compind.2014.07.008 · Cited by 170
Temporal reasoning with medical data - A review with emphasis on medical natural language processing
Zhou, L., & Hripcsak, G. (2007) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2006.12.009 · Cited by 169
“Allen’s interval [29] Applied to the tasks of temporal abstraction and query process to determine qualitative temporal relationships between”
InfluentialConstraint Satisfaction with Countable Homogeneous Templates
Bodirsky, M., & Nešetřil, J. (2003) · Journal of Logic and Computation · doi:10.1093/logcom/exi083 · Cited by 169
Lexical Knowledge Representation and Natural Language Processing
Pustejovsky, J., & Boguraev, B. (1993) · Artificial Intelligence · doi:10.1016/0004-3702(93)90017-6 · Cited by 168
“There are essentially three components to this structure: the primitive event typemstate (S), process (P) or transition (T); the focus of the event; and the rules for event composition (cf. Allen [2], Moens and Steedman [37], Passonneau [42], Pustejovsky [45]).”
BackgroundA Connectionist Approach to Knowledge Representation and Limited Inference
Shastri, L. (1988) · Cognitive Science · doi:10.1016/0364-0213(88)90027-4 · Cited by 151
“But, one can extend the notion of inheritance to include other structural links such as the is-a-part-of, and occurs-during links (Allen, 1983; Schubert, Papalaskaris, & Taugher, 1983).”
BackgroundFoundations of data-aware process analysis: a database theory perspective
Calvanese, D., Giacomo, G. D., & Montali, M. (2013) · ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems · doi:10.1145/2463664.2467796 · Cited by 167
“The work on temporal databases and query languages goes back to [111], which provides a Description of syntax and semantics of temporal extension of Quel (a calculus-based query language for the Ingres system) that makes use of Allen’s interval relations [22].”
Employing ai methods to control the behavior of animated interface agents
André, E., Rist, T., & Müller, J. M. (1999) · Applied Artificial Intelligence · doi:10.1080/088395199117333 · Cited by 139
“[ 1 ]). Allen' s representation also permits the expr ession of disjunctions, such as (A (before after) B), which means that A occurs before or after B. Metric constraints appear as difference (in)equalities on the endpoints of named intervals.”
BackgroundTyugu, E., & Penjam, J. (1994) · NATO ASI Series · doi:10.1007/978-3-642-85983-0 · Cited by 166
The Design and Experimental Analysis of Algorithms for Temporal Reasoning
Beek, P. V., & Manchak, D. W. (1995) · Journal of Artificial Intelligence Research · doi:10.1613/jair.232 · Cited by 165
“1 Allen's framework There are thirteen basic relations that can hold between two intervals (see Figure 1; Allen, 1983; Bruce, 1972). In order to represent inde nite information, the relation between two intervals is allowed to be a disjunction of the basic relations. Sets are used to list the disjunctions. For example…”
BackgroundMethodInfluentialTemporal Information Extraction
Ling, X., & Weld, D. S. (2010) · AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v24i1.7512 · Cited by 164
“TIE's point-wise constraints from TIE's output are converted back to Allen-style relations.”
BackgroundMethodInfluentialWinarko, E., & Roddick, J. (2007) · Data & Knowledge Engineering · doi:10.1016/j.datak.2006.10.009 · Cited by 164
“However, ARMADA uses memory-based indexing, instead of Apriori-based algorithm.”
BackgroundMethodErwig, M., & Schneider, M. (2002) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2002.1019220 · Cited by 159
“Based on his work in [ 1 ] where he has identified 13 possible relationships (like before, equal, meets, overlaps, during) between intervals, Allen in [2] defines a predicate HoldsOp;iU which asserts that a property p is true during a time interval i. This predicate implies that p holds at every subinterval of i as we…”
BackgroundAn Overview of SURGE: a Reusable Comprehensive Syntactic Realization Component
Elhadad, M., & Robin, J. (1996) · International Conference on Natural Language Generation · doi:10.7916/d8p55wvt · Cited by 164
Automatic temporal layout mechanisms
Buchanan, M. C., & Zellweger, P. (1993) · MULTIMEDIA '93 · doi:10.1145/166266.168415 · Cited by 163
“The set of allowable ordering relations are the temporal relations described by Allen [1]: before, starts (sometimes called parallel), finishes, meets (sometimes called sequential), equals, overlaps, and during.”
BackgroundInfluentialOn the Systematic Analysis of Natural Language Requirements with CIRCE
Ambriola, V., & Gervasi, V. (2005) · Automated Software Engineering · doi:10.1007/s10515-006-5468-2 · Cited by 153
Madeus: an authoring environment for interactive multimedia documents
Jourdan, M., Layaïda, N., Roisin, C., Sabry-Ismaïl, L., & Tardif, L. (1997) · Proceedings of IEEE International Conference on Multimedia Computing and Systems · doi:10.1145/290747.290780 · Cited by 160
Representing time in multimedia systems
Wahl, T., & Rothermel, K. (1994) · 1994 Proceedings of IEEE International Conference on Multimedia Computing and Systems · doi:10.1109/mmcs.1994.292502 · Cited by 160
“In the first class, time is expressed by means of points in a one-dimensional time space [ViKa86] whereas, in a second model class, intervals are the atomic units of the time space [ Alle83 ].”
BackgroundMedia Streams: an iconic visual language for video annotation
Davis, M. (1993) · Proceedings 1993 IEEE Symposium on Visual Languages · doi:10.1109/vl.1993.269596 · Cited by 160
“There exists significant work in the formalization of temporal events in order to support inferencing about their interrelationships [1] and to facilitate the compression and retrieval of image sequences by indexing temporal and spatial changes [2, 3].”
Capturing Complex Spatio-temporal Relations among Facial Muscles for Facial Expression Recognition
Wang, Z., Wang, S., & Ji, Q. (2013) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2013.439 · Cited by 154
“Following Allen’s Interval Algebra [1], there are a total of 13 temporal relationships between two temporal entities as illustrated in Figure 1.”
MethodA general framework for representing, reasoning and querying with annotated Semantic Web data
Zimmermann, A., Lopes, N., Axel Polleres, A., & Straccia, U. (2011) · Journal of Web Semantics · doi:10.1016/j.websem.2011.08.006 · Cited by 156
“Considering queries using Allen’s temporal relations [42] (before, after, overlaps, etc.”
MethodWorld Modeling for the Dynamic Construction of Real-Time Control Plans
Musliner, D., Durfee, E., & Shin, K. (1995) · Artificial Intelligence · doi:10.1016/0004-3702(94)00008-o · Cited by 159
Digital twin design for real-time monitoring – a case study of die cutting machine
Wang, K., Lee, Y.-H., & Angelica, S. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1817999 · Cited by 182
“In the engineering perspective, visualisation can change the way information is presented in through-life (Chi 2000) and occur at a precise point or an interval in time (Allen 1983).”
BackgroundTemporal Aspects of Tasks in the User Action Notation
Hartson, H., & Gray, P. (1992) · Hum. Comput. Interact. · doi:10.1207/s15327051hci0701_1 · Cited by 154
Metadata
- Authors
- Allen, J. F.
- Affiliations
- University of Rochester (US)
- Corresponding author
- Allen, James F.
- ORCID
- Allen, James F.
- Venue
- Communications of the ACM
- Published
- 1983-11
- Volume
- 26
- Issue
- 11
- Pages
- 832-843
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2161484642
- Cited by
- 7,593
- References
- 0
- Citations by year
- 2026: 79 · 2025: 88 · 2024: 133 · 2023: 126 · 2022: 115 · 2021: 159 · 2020: 194 · 2019: 175 · 2018: 212 · 2017: 246 · 2016: 291 · 2015: 267 · 2014: 279 · 2013: 326 · 2012: 322
- FWCI
- 27.16
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Communications of the ACM (publishedVersion)
- Funders
- National Science Foundation (8210564)
- Office of Naval Research (N00014)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
- Physical Sciences › Computer Science › Artificial Intelligence › Constraint Satisfaction and Optimization
- Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
- Keywords
- temporal reasoning, time intervals, interval arithmetic, knowledge representation, temporal logic, Allen's interval algebra
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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