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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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Symbolic Description and Visual Querying of Image Sequences Using Spatio-Temporal Logic
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“An extensive study of the relations between time intervals is present in the pioneering work of Allen [115].”
BackgroundDiscovery of Temporal Patterns. Learning Rules about the Qualitative Behaviour of Time Series
Höppner, F. (2001) · European Conference on Principles of Data Mining and Knowledge Discovery · doi:10.1007/3-540-44794-6_16 · Cited by 152
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“User behavior patterns can be expressed in a number of different ways [2, 4, 34].”
BackgroundPeterson, M. (2018) · Encyclopedia of Social Network Analysis and Mining. 2nd Ed. · doi:10.1007/978-1-4939-7131-2_100574 · Cited by 149
“6 An ontology of time has been published by Hobbs and Pan [20], which includes Allen’s set of time relations [1].”
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“Keywords: Spatial reasoning, modal logic, topological interpretation, topo-bisimulation, serial set.”
BackgroundA survey of visual language specification and recognition
Marriott, K., Meyer, B., & Wittenburg, K. (1998) · Springer eBooks · doi:10.1007/978-1-4612-1676-6_2 · Cited by 148
Schlieder, C. (1995) · Conference On Spatial Information Theory · doi:10.1007/3-540-60392-1_22 · Cited by 148
“The most successful example for an import from the temporal to the spatial domain is probably Allen's (1983) system of interval relations. Explicit use of the interval relations is made for example by Guesgen (1989) and by Hernfindez (1992) who both devise spatial reasoning formalisms that are more general than Allen'…”
BackgroundInfluentialComplex event recognition in the Big Data era: a survey
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“For other event formalisms, see also [28,29,49,76,85,105].”
BackgroundDigital forensic research: current state of the art
Raghavan, S. (2012) · CSI Transactions on ICT · doi:10.1007/s40012-012-0008-7 · Cited by 162
“Allen [4, 5] discusses the different representations of timestamps adopted in literature, including one where timestamps are logical timestamps only, merely a sequential numbering of events on a system.”
BackgroundAn Algebraic Approach to Rule-Based Information Extraction
Reiss, F., Raghavan, S., Krishnamurthy, R., Zhu, H., & Vaithyanathan, S. (2008) · IEEE International Conference on Data Engineering · doi:10.1109/icde.2008.4497502 · Cited by 147
Use of a Three‐Domain Repesentation to Enhance GIS Support for Complex Spatiotemporal Queries
Yuan, M. (1999) · Trans. GIS · doi:10.1111/1467-9671.00012 · Cited by 147
“Temporal objects include points (instants as defined in Freska 1992) and lines (intervals as defined in Allen 1983).”
BackgroundAn epistemological framework for medical knowledge-based systems
Ramoni, M., Stefanelli, M., Magnani, L., & Barosi, G. (1992) · IEEE Transactions on Systems, Man and Cybernetics · doi:10.1109/21.199462 · Cited by 146
Exact and approximate reasoning about temporal relations 1
Beek, P. V., & Cohen, R. (1990) · International Conference on Climate Informatics · doi:10.1111/j.1467-8640.1990.tb00130.x · Cited by 146
“Allen (1983) gives an O( n 3 ) approximation algorithm for the all-to-all minimal labels problem that is a special case of path consistency algorithms (Montanari, 1974; Mack-worth, 1977).”
BackgroundMethodInfluentialJia, Z., Abujabal, A., Roy, R. S., Strötgen, J., & Weikum, G. (2018) · International World Wide Web Conference (WWW) · doi:10.1145/3184558.3191536 · Cited by 82
“In general, any of the 13 temporal relations defined in Allen’s interval algebra for temporal reasoning [3] can be the described relation, that is, the equal relation as well as the six relations before , meets , overlaps , during , starts , and finishes with respective inverses (see Fig.”
BackgroundDomain Filtering Consistencies
Debruyne, R., & Bessiere, C. (2011) · Journal of Artificial Intelligence Research · doi:10.1613/jair.834 · Cited by 145
“…of a constraint can be expressed without explicitly storing the set of forbidden tuples, path consistency can be used (e.g., temporal networks Allen, 1983, constraint networks Smith, 1992). tightnesses lower than .63 since it does not delete any value, while for SRPC the limit is .57 of…”
MethodOn managing business processes variants
Lu, R., Sadiq, S., & Governatori, G. (2009) · Data & Knowledge Engineering · doi:10.1016/j.datak.2009.02.009 · Cited by 145
“It can be observed that representing each task by its execution duration (as an interval), the interdependencies between these tasks can be modeled [6].”
BackgroundEfficient Methods for Qualitative Spatial Reasoning
Renz, J., & Nebel, B. (2001) · Journal of Artificial Intelligence Research · doi:10.1613/jair.872 · Cited by 145
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Hentenryck, P. V., & Saraswat, V. (1996) · CSUR · doi:10.1145/242223.242279 · Cited by 145
The visual display of temporal information
Cousins, S. B., & Kahn, M. G. (1991) · Artif. Intell. Medicine · doi:10.1016/0933-3657(91)90005-v · Cited by 145
“Others have shown the general solution to temporal uncertainty to be an NP-hard problem [1,10].”
BackgroundOverview of Scheduling and Planning of Batch Process Operations
Reklaitis, G. (1996) · Springer eBooks · doi:10.1007/978-3-642-60972-5_27 · Cited by 145
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“4, have been originally proposed for temporal reasoning [5].”
BackgroundHandling infinite temporal data
Kabanza, F., Stévenne, J.-M., & Wolper, P. (1990) · ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems · doi:10.1145/298514.298590 · Cited by 143
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“[EF91], any of the 13n (n = 1, 2) possible directional operators between two n-dimensional objects [ All83 ,”
BackgroundDetecting Human Behavior Models From Multimodal Observation in a Smart Home
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“Allen's temporal operators [1] can be used to describe relationships between situations.”
BackgroundWeak Composition for Qualitative Spatial and Temporal Reasoning
Renz, J., & Ligozat, G. (2005) · International Conference on Principles and Practice of Constraint Programming · doi:10.1007/11564751_40 · Cited by 142
“weak composition = composition Interval Algebra [1] STAR calculus [21] rectangle algebra [9] containment algebra [10] block algebra [3] cyclic algebra [2]”
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“Allen’s interval algebra for temporal reasoning [1] enumerates all possible relationships between pairs of time intervals: A before B, A meets B, A overlaps B, A starts B, A finishes B, and A equals B.”
Hernández, D., Clementini, E., & Felice, P. D. (1995) · Conference On Spatial Information Theory · doi:10.1007/3-540-60392-1_4 · Cited by 140
“In particular, Allen (1983) brie(cid:13)y describes an extension of his temporal interval rea-soner to handle duration, the temporal equivalent of size.”
BackgroundJakobson, G., & Weissman, M. (1995) · IFIP/IEEE Symposium on Integrated Network Management · doi:10.1007/978-0-387-34890-2_26 · Cited by 140
“T e m po r a l r e l a ti on s t og e t h e r w it h t e m po r a l r ea s on i ng r u l e s f o r m t e m po r a l e v e n t ca l c u l u s ( A ll e n , 1983 ) .”
BackgroundMichon, J. A. (1985) · Springer eBooks · doi:10.1007/978-3-642-70491-8_2 · Cited by 142
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“A commonly used approach is Allen’s Interval Alge-bra [2], which defines several relations between time intervals, with BTR = { <, >, m, mi, o, oi, s, si, d, di, f, fi, = } .”
MethodInfluentialA survey of qualitative spatial representations
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“Examples of such approaches are: 2D-String (Chang et al ., 1987) as shown in Figure 10, its extension 2D-CString (Lee & Hsu, 1990) and 2D-GString (Chang et al ., 1996), the two-dimensional extension of Interval Algebra (Allen, 1983), as shown in Figure 11, the Rectangle Algebra (Balbiani et al ., 1998, 1999a), as show…”
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“While research in the area has focused mainly on logics involving constraint systems that have as domains intervals [9,1] and regions [10–12], with a variety of decidability and complexity results, there seems to have been little attention paid to commonly used constraint systems of the form ( D, …”
BackgroundLogics for databases and information systems
Chomicki, J., & Saake, G. (1998) · doi:10.1007/978-1-4615-5643-5 · Cited by 137
“We could also equivalently use Allen’s algebra operators [All83].”
BackgroundMethodQualitative and Quantitative Simulation: Bridging the Gap
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“Since an event is represented by an interval or by one point in time, Point-interval temporal logic [23], which is an extension to Allen’s interval logic [1], is used to handle different possibilities, which are • both events are intervals • both events are points • one event is an interval and the other is a point.”
BackgroundEffective Solution of Qualitative Interval Constraint Problems
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“However, while there is a wide consensus in the NLP community over the modeling of temporal relations between events, mainly based on Allen’s interval algebra (Allen, 1983), the question on how to model other types of event relations is still open.”
BackgroundThe TempEval challenge: identifying temporal relations in text
Verhagen, M., Gaizauskas, R., Schilder, F., Hepple, M., Moszkowicz, J., & Pustejovsky, J. (2009) · Language Resources and Evaluation · doi:10.1007/s10579-009-9086-z · Cited by 134
“The set of relation types employed in TimeML is based on the thirteen relations proposed by Allen in his interval algebra (Allen, 1983; Allen, 1984) and includes the six binary relations, before, immediately before, includes, begins, ends, during, the six inverses of these, simultaneous, and in addition identity, whic…”
BackgroundMethodInfluentialProcesses and continuous change in a SAT-based planner
Shin, J.-A., & Davis, E. (2005) · Artificial Intelligence · doi:10.1016/j.artint.2005.04.001 · Cited by 134
“We have incorporated in our language and includes Allen’s 13 binary interval relations [2] and several other basic useful functions on intervals.”
MethodVisualization of linear time-oriented data: a survey
Silva, S. F., & Catarci, T. (2000) · Proceedings of the First International Conference on Web Information Systems Engineering · doi:10.1109/wise.2000.882407 · Cited by 134
Temporal Constraints: A Survey
Schwalb, E., & Vila, L. (1998) · Constraints · doi:10.1023/a:1009717525330 · Cited by 134
“The classes of TCSPs surveyed are qualitative point Vilainetal89, qualitative interval Allen83, metric point Dechteretal91 and some of their combinations KautzLadkin91, Meiri96.”
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Kenny, K., & Lin, K.-J. (1991) · Computer · doi:10.1109/2.76288 · Cited by 134
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“The constraints we currently use for the temporal dimension are based on the temporal relations de.ned by Allen [1]: equals, before, meets, overlaps, during, starts and .nishes, with similar relations for the spatial dimensions X and Y.”
BackgroundInfluentialAn Overview of Temporal and Modal Logic Programming
Orgun, M., & Ma, W. (1994) · International Conference on Temporal Logic · doi:10.1007/bfb0014004 · Cited by 133
“Temporal Prolog is not directly based on temporal logic: it uses Allen's temporal constraint model [8] for reasoning about time intervals and their relationships, but with some modi cations for e ciency reasons [54, section 3].”
BackgroundMethodComputing Transivity Tables: A Challenge For Automated Theorem Provers
Randell, D., Cohn, A., & Cui, Z. (1992) · CADE · doi:10.1007/3-540-55602-8_225 · Cited by 133
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“Examples for such systems include spatial constraint networks based on the RCC8 relations [6, 9, 30] or on cardinal direction relations [10], and temporal constraint networks based on Allen’s relations of time intervals [1, 28, 34] or on relations between time points [33, 34].”
BackgroundMental models and temporal reasoning.
Schaeken, W., Johnson-Laird, P., & d'Ydewalle, G. (1996) · Cognition · doi:10.1016/0010-0277(96)00708-1 · Cited by 132
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“Considerable effort has gone into constructing pieces of such a theory, e.g., the aspects of time [1], causality [30], activity [2], authority [27], constraint representation [12], and ownership [21].”
BackgroundPrinciples of Synthetic Intelligence PSI: An Architecture of Motivated Cognition
Bach, J. (2009) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195370676.001.0001 · Cited by 146
“Allen Newell and Herbert A. Simon (1976)”
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“In particular, we consider bidimensional extensions of Allen’s interval relations [4], that is, rectangular relations.”
Event composition in time-dependent distributed systems
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“Then we can provide composition operators that allow for interval relations [1].”
MethodA Common Knowledge Representation for Plan Generation and Reactive Execution
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“The most interesting property from a representational standpoint is Time-Constraints, the syntax for which is given in the Appendix and allows speci cation of any of the 13 Allen relations [1].”
BackgroundAutomatic presentation of multimedia documents using relational grammars
Weitzman, L., & Wittenburg, K. (1994) · MULTIMEDIA '94 · doi:10.1145/192593.192718 · Cited by 130
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Human action detection using PNF propagation of temporal constraints
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“The temporal relations between them was then clarified, based on [1].”
BackgroundSemantics-based composition for aspect-oriented requirements engineering
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“XXX YYY Figure 7: Selection of temporal operators for composition (based on Allen [4]).”
BackgroundInfluentialMultimedia event-based video indexing using time intervals
Snoek, C. G. M., & Worring, M. (2005) · IEEE transactions on multimedia · doi:10.1109/tmm.2005.850966 · Cited by 128
“To be specific, the relations are:precedes , meets, overlaps, starts, during, finishes, equals, and their inverses, identified by addingi to the relation name [17].”
BackgroundNebel, B. (1997) · Constraints · doi:10.1007/bf00137869 · Cited by 128
“2 ALLEN’S CALCULUS Allen’s [1] approach to reasoning about time(3)is based on the notion of time intervals and binary relations on them.”
BackgroundMethodInfluentialFuzzy Modeling with Spatial Information for Geographic Problems
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“Future work will look at the articulation details of bimanual gestures, i.e., the way the dominant and nondominant hands move to perform a ring gesture, such as by employing temporal algebra [1].”
BackgroundA Core Ontology for Business Process Analysis
Pedrinaci, C., Domingue, J., & de Medeiros, A. D. (2008) · Extended Semantic Web Conference · doi:10.1007/978-3-540-68234-9_7 · Cited by 127
“The relations are self-explanatory, the interested reader is referred to [15] and [16] for further details.”
InfluentialCombining topological and size information for spatial reasoning
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“, Allen’s interval constraints [1] and qualitative constraints on their duration.”
BackgroundMethodInfluentialTemporal deductive databases and infinite objects
Chomicki, J., & Imielinski, T. (1988) · ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems · doi:10.1145/308386.308416 · Cited by 127
Qualitative Kinematics: A Framework
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A requirements modeling language and its logic
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Borrmann, A., & Rank, E. (2009) · Advanced Engineering Informatics · doi:10.1016/j.aei.2008.06.005 · Cited by 126
“Allen distinguishes 13 cases to express qualitative relations between intervals in 1D [39].”
BackgroundMethodA connection based approach to common-sense topological description and reasoning
Gotts, N., Gooday, J., & Cohn, A. (1996) · doi:10.5840/monist19967913 · Cited by 125
“Such tables are also used by other relational calculi, notably James Allen's calculus of temporal intervals (Allen 1983) and are often referred to by the alternative name of transitivity tables.”
MethodAn Introduction to Practical Formal Methods Using Temporal Logic
Fisher, M. (2011) · Wiley eBooks · doi:10.1002/9781119991472 · Cited by 124
“9 Interval logics and granularities There are a range of interval temporal logics that have been developed for use in Computer Science and Artificial Intelligence; although we cover one variety in the next section and another in Chapter 7, the interested reader might begin by consulting [14, 241, 382, 449].”
BackgroundMethodInfluentialThe Challenges of Real-Time All
Musliner, D., Hendler, J., Agrawala, A., Durfee, E. H., Strosnider, J., & Paul, C. J. (1995) · Computer · doi:10.1109/2.362628 · Cited by 124
“on representations of time [2, 10, 32, 52, 71] generally involves complex constraint propagation mechanisms to maintain partial ordering relations between time intervals.”
BackgroundFrom dynamic influence nets to dynamic Bayesian networks: A transformation algorithm
Merigó, J., & Casanovas, M. (2009) · doi:10.1002/int.v24:8 · Cited by 123
“, “before” [Allen, 83]) constraints were considered.”
BackgroundKnowledge-based production management approaches, results and prospects
Smith, S. F. (1992) · Production Planning & Control · doi:10.1080/09537289208919407 · Cited by 110
LARS: A Logic-Based Framework for Analyzing Reasoning over Streams
Beck, H., Dao-Tran, M., Eiter, T., & Fink, M. (2015) · AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v29i1.9408 · Cited by 122
Andrikopoulos, V., Benbernou, S., & Papazoglou, M. (2012) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2011.22 · Cited by 122
“For the former, we base the ordering of assertions on the nature of their dimension and we use the relations already defined in Allen’s Interval Algebra [38] for relatively positioning intervals (here value ranges) on a dimension.”
MethodAn event-based conceptual model for context-aware movement analysis
Andrienko, G., Andrienko, N., & Heurich, M. (2011) · International Journal of Geographical Information Science · doi:10.1080/13658816.2011.556120 · Cited by 122
“The possible types of spatial and temporal relations are considered in the literature on temporal and spatial reasoning (e.g. Allen 1983, Egenhofer 1991, Frank 1992) and on geographic information systems (e.g. Jones 1997, Longley et al. 1999).”
Intrusion detection for mobile devices using the knowledge-based, temporal abstraction method
Shabtai, A., Kanonov, U., & Elovici, Y. (2010) · Journal of Systems and Software · doi:10.1016/j.jss.2010.03.046 · Cited by 122
“Naldurg et al. (2004), Ning et al. (2001), and Kohout et al. (2002) describe attack patterns or normal behavior patterns based on Allen’s temporal relations (Allen, 1983) such as ‘‘before”, ‘‘after” and ‘‘meet” between events (e.g., a login by user u should be followed by a logout).”
BackgroundSugumaran, V., & Storey, V. (2006) · TODS · doi:10.1145/1166074.1166083 · Cited by 122
“Considerable research examines the dimensions of time and how the notion of time can be incorporated into information system [Allen 1983].”
BackgroundFusion engines for multimodal input: a survey
Lalanne, D., Nigay, L., Palanque, P. A., Robinson, P., Vanderdonckt, J., & Ladry, J.-F. (2009) · ICMI-MLMI '09 · doi:10.1145/1647314.1647343 · Cited by 121
“Extending a combination of Tables 1 and 2, Vernier & Nigay [39] define a comprehensive design space for multimodal fusion, based Allen’s relationships [1] applied to the levels of Nielsen’s model of interaction.”
MethodA novel sequence representation for unsupervised analysis of human activities
Hamid, R., Maddi, S., Johnson, A., Bobick, A. F., Essa, I., & Isbell, C. (2009) · Artificial Intelligence · doi:10.1016/j.artint.2009.05.002 · Cited by 121
“This intuition is in similar flavor with that of Allen’s Algebra, which proposes that a small number of temporal relations are sufficient to encode the structure of temporal sequences [2].”
ResultSoftware Development Process From Natural Language Specification
Saeki, M., Horai, H., & Enomoto, H. (1989) · International Conference on Software Engineering · doi:10.1145/74587.74594 · Cited by 121
Wang, X., Chen, Y., Ding, N., Peng, H., Wang, Z., Lin, Y.-K., Han, X., Hou, L., Li, J.-Z., Liu, Z.-Y., et al. (2022) · Conference on Empirical Methods in Natural Language Processing · doi:10.48550/arxiv.2211.07342 · Cited by 120
“Temporal and causal relations follow a certain transitivity rules (Allen, 1983; Gerevini and Schubert, 1995), e.g., if there exists “A BEFORE B” and “B BEFORE C”, “A BEFORE C” also holds.”
BackgroundDiscovering Event Evolution Graphs From News Corpora
Yang, C. C., Shi, X., & Wei, C.-P. (2009) · IEEE transactions on systems, man and cybernetics. Part A. Systems and humans · doi:10.1109/tsmca.2009.2015885 · Cited by 120
“If ei temporally precedes event ej , τ(ei) and τ(ej) must possess the following temporal relationships as defined by Allen [7]: τ(ei) before τ(ej), τ(ei) meets τ(ej), τ(ei) overlaps τ(ej), τ(ei) starts τ(ej), τ(ei) equal to τ(ej), τ(ei) contains τ(ej), τ(ei) started by τ(ej), and τ(ei) finished by τ(ej).”
Adding animated presentation agents to the interface
Rist, T., André, E., & Müller, J. M. (1997) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/238218.238298 · Cited by 90
“Qualitative temporal constraints, e.g., (Al (before) A2), are represented in an “Allen-style” fashion (cf. [2]) while quantitative constraints appear as metric (inequalities.”
BackgroundDatabase Design for a Multi-Scale Spatial Information System
Jones, C. B., Kidner, D., Luo, L.-Q., Bundy, G., & Ware, J. (1996) · International Journal of Geographical Information Science · doi:10.1080/02693799608902116 · Cited by 119
A Rule-Based Language for Complex Event Processing and Reasoning
Anicic, D., Fodor, P., Rudolph, S., Stühmer, R., Stojanović, N., & Studer, R. (2010) · International Conference on Web Reasoning and Rule Systems · doi:10.1007/978-3-642-15918-3_5 · Cited by 118
“Our proposed semantics is also expressive enough to capture all thirteen Allen’s temporal relationships [3].”
BackgroundInfluentialRegion Connection Calculus: Its models and composition table
Li, S., & Ying, M. (2003) · Artificial Intelligence · doi:10.1016/s0004-3702(02)00372-7 · Cited by 118
“This region-based approach to spatial reasoning closely mirrors Allen’s interval-based approach to temporal reasoning [2]—they both take extended entities, rather than points, as primitives.”
BackgroundMethodTemporal reasoning and temporal data maintenance in medicine: Issues and challenges
Carlo, C., & Shahar, Y. (1997) · Comput. Biol. Medicine · doi:10.1016/s0010-4825(96)00010-8 · Cited by 118
“Several suggestions have emerged from generic fields of computer science, such as artificial intelligence, or the knowledge and data management areas [63] [64] [65] [66] [3] [1].”
BackgroundCalculi for Qualitative Spatial Reasoning
Cohn, A. (1996) · AISMC · doi:10.1007/3-540-61732-9_54 · Cited by 118
Knowledge-based reactive scheduling
Szelke, E., & Kerr, R. (1994) · doi:10.1080/09537289408919480 · Cited by 118
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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