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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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Items 901–1,000 of 1,006
Carlo, C., Pinciroli, F., & Pozzi, G. (1995) · Methods of Information in Medicine · doi:10.1055/s-0038-1634623 · Cited by 42
“Allen [1, 2] artificial intervalnatural relative abstraction interval property, no”
BackgroundMethodInfluentialFROM PLAN CRITIQUING TO CLARIFICATION DIALOGUE FOR COOPERATIVE RESPONSE GENERATION *
Beek, P. V., Cohen, R., & Schmidt, K. (1993) · International Conference on Climate Informatics · doi:10.1111/j.1467-8640.1993.tb00304.x · Cited by 42
“For example, a cooperative response should warn a user that a plan will fail because some of its preconditions are not satisfied (Allen 1983b) or if there exists another plan that has the same effects but is in some sense a better plan (Pollack 1984; Joshi ef al.”
BackgroundMethodInfluentialHeuristics Miner for Time Intervals
Burattin, A., & Sperduti, A. (2010) · The European Symposium on Artificial Neural Networks · doi:10.1007/978-3-319-17482-2_11 · Cited by 42
“Referring to the notion of “intervals algebra” as introduced by Allen [7] and the macro-algebra A 3 = {≺ , ∩ , ≻} as Golumbic and Shamir described in [8], we can think the direct succession relation as the “preceedings” ( X ≺ Y ) one and the parallelism relation as the “intersection” ( X ∩ Y ) one.”
BackgroundRule-based spatiotemporal query processing for video databases
Dönderler, M. E., Ulusoy, Ö., & Güdükbay, U. (2003) · The VLDB journal · doi:10.1007/s00778-003-0114-0 · Cited by 42
“It is because Allen’s temporal interval algebra, [2], is not used as a basis for the directional relation definition in our approach: to determine which directional relation holds between two objects, center points of the objects’ MBRs are used [9].”
BackgroundMethodInfluentialA Temporal Extension of Prolog
Hrycej, T. (1993) · The Journal of Logic Programming · doi:10.1016/0743-1066(93)90016-a · Cited by 42
Is Time a Real Time? An Overview of Time Ontology in Informatics
Schreiber, F. (1992) · IEEE-NPSS Real-Time Conference · doi:10.1007/978-3-642-88049-0_14 · Cited by 42
Heuristics for job-shop scheduling
Pasch, K. (1988) · doi:10.21236/ada198192 · Cited by 42
A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract)
Leeuwenberg, A., & Moens, M. (2020) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2020/712 · Cited by 2
“The most popular TR framework used in TIE is Allen’s interval algebra (AIA) [Allen, 1983].”
InfluentialA metamodel to integrate business processes time perspective in BPMN 2.0
Arévalo, C., Escalona, M., Ramos, I., & Muñoz, M. D. (2016) · Information and Software Technology · doi:10.1016/j.infsof.2016.05.004 · Cited by 41
Dynamic controllability via Timed Game Automata
Cimatti, A., Hunsberger, L., Micheli, A., Posenato, R., & Roveri, M. (2016) · Acta Informatica · doi:10.1007/s00236-016-0257-2 · Cited by 41
“On the one hand, a CSTNU includes observation time-points to model discrete observations at run-time; on the other hand, a DTNU allows disjunctive constraints that can model non-convex durations, non-overlapping durations, and all of the other temporal relations from Allen’s interval algebra [2].”
The Family of Conceptual Neighborhood Graphs for Region-Region Relations
Egenhofer, M. (2010) · International Conference Geographic Information Science · doi:10.1007/978-3-642-15300-6_4 · Cited by 41
“[10,13,14,24,25] as well as for intervals in R 1 [ 2 ,18], and a plethora of similar components exist for topological relations of”
BackgroundDiscovering hybrid temporal patterns from sequences consisting of point- and interval-based events
Wu, S.-Y., & Chen, Y.-L. (2009) · Data & Knowledge Engineering · doi:10.1016/j.datak.2009.06.010 · Cited by 41
“surgery, t) (representing the events which take place in the pattern), T = {before(e, f),during(t, f)} (representing the temporal relations among these events, the temporal relation representations are based on Allen’s First Order Interval Logic [3]).”
BackgroundInfluentialA Self-Stabilizing Leader Election Algorithm in Highly Dynamic Ad Hoc Mobile Networks
Derhab, A., & Badache, N. (2008) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2007.70792 · Cited by 41
“Allen [1] has defined 13 basic binary relations between time intervals, six of which are inverses of the other six: before and after, overlaps and overlapped-by, starts and started-by, finishes and finished-by, during and contains, meets and met-by, and equals (see Fig.”
BackgroundConceptual Neighbourhood Diagrams for Representing Moving Objects
van de Weghe, N., & de Maeyer, P. (2005) · International Conference on Conceptual Modeling · doi:10.1007/11568346_25 · Cited by 41
“Temporal calculi, such as the Interval Calculus [1] and the Semi-Interval Calculus [2], have been proposed.”
BackgroundMatching and Predicting Crimes
Oatley, G., Zeleznikow, J., & Ewart, B. (2004) · SGAI Conferences · doi:10.1007/1-84628-103-2_2 · Cited by 41
“has been seen previously in the artificial intelligence literature as Aamodt's implementation of Aliens' [ 15 ] temporal system in the long-established Creek semantic network-based case-based reasoning system (see [16]).”
Toward Duration-Based, Constrained and Dynamic Event Types
Roncancio, C. (1997) · Active and Real-Time Database Systems · doi:10.1007/3-540-49151-1_10 · Cited by 41
Diagrammatic Representation of Interval Space in Proving Theorems about Interval Relations
Kulpa, Z. (1997) · Reliable Computing · doi:10.1023/a:1009919304728 · Cited by 41
Maintaining Qualitative Spatial Knowledge
Hernández, D. (1993) · Conference On Spatial Information Theory · doi:10.1007/3-540-57207-4_4 · Cited by 41
“Allen (1983) and later Vilain, Kautz, and van Beek (1990) showed the algorithm to run in polynomial time w.r.t. the number of intervals in the database.”
BackgroundInfluentialModeling Time in Medical Decision-support Programs
Kahn, M. G. (1991) · Medical decision making · doi:10.1177/0272989x9101100403 · Cited by 41
Loucopoulos, P., McBrien, P., Schumacker, F., Theodoulidis, B., Kopanas, V., & Wangler, B. (1991) · Information Systems Journal · doi:10.1111/j.1365-2575.1991.tb00032.x · Cited by 41
Miller, S. A., & Schubert, L. K. (1990) · International Conference on Climate Informatics · doi:10.1111/j.1467-8640.1990.tb00294.x · Cited by 41
“There are numerous simple relations (Allen 1983; Vilain and Kautz 1986) that can be defined between two intervals (equal, before, meets (i.e., immediately before), during, starts, ends, overlaps, and their inverses).”
BackgroundA Dataset for Answering Time-Sensitive Questions
Chen, W., Wang, X., & Wang, W. Y. (2021) · arXiv · doi:10.48550/arxiv.2108.06314 · Cited by 40
VidCEP: Complex Event Processing Framework to Detect Spatiotemporal Patterns in Video Streams
Yadav, P., & Curry, E. (2019) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata47090.2019.9006018 · Cited by 36
Task scheduling for mobile robots using interval algebra
Mudrová, L., & Hawes, N. (2015) · IEEE International Conference on Robotics and Automation · doi:10.1109/icra.2015.7139027 · Cited by 40
Reasoning about Topological and Cardinal Direction Relations Between 2-Dimensional Spatial Objects
Cohn, A., Li, S., Liu, W., & Renz, J. (2014) · Journal of Artificial Intelligence Research · doi:10.1613/jair.4513 · Cited by 40
“Originating from Allen’s work (1983) on temporal interval relations, QSR has been widely acknowledged as the AI approach to spatial knowledge representation and reasoning, with applications ranging from natural language understanding (Davis, 2013), robot navigation (Shi, Jian, & Krieg-Brückner, 2010; Falomir, 2012), g…”
MethodOperational semantics of a domain specific language for real time musician–computer interaction
Echeveste, J., Cont, A., Giavitto, J.-L., & Jacquemard, F. (2013) · Discrete event dynamic systems · doi:10.1007/s10626-013-0166-2 · Cited by 40
“The temporal constraints rely on Allen (1983) relations but are far from customary musical vocabularies addressed in this paper.”
BackgroundContent redundancy in YouTube and its application to video tagging
Pedro, J. S., Siersdorfer, S., & Sanderson, M. (2011) · TOIS · doi:10.1145/1993036.1993037 · Cited by 40
An ontology-based semantic foundation for ARIS EPCs
Santos, P., Almeida, J. P., & Guizzardi, G. (2010) · ACM Symposium on Applied Computing · doi:10.1145/1774088.1774114 · Cited by 40
“For ordered temporal structures, we have considered here the so-called Allen Relations [1] which can hold between intervals, and from which corresponding relations between events can be derived (we consider the before and meets relations).”
BackgroundFrom named place to naming event: creating gazetteers for history
Mostern, R., & Johnson, I. (2008) · International Journal of Geographical Information Science · doi:10.1080/13658810701851438 · Cited by 40
“The first step is to determine temporal geometry, described as a set of twodimensional logical conditions proposed by Allen (1983).”
BackgroundShapiro, S., Rapaport, W., Kandefer, M., Johnson, F. L., & Goldfain, A. (2007) · The AI Magazine · doi:10.1609/aimag.v28i1.2026 · Cited by 40
The Head-Body-Tail Intersection for Spatial Relations Between Directed Line Segments
Kurata, Y., & Egenhofer, M. (2006) · International Conference Geographic Information Science · doi:10.1007/11863939_18 · Cited by 40
“Allen (1983) identified thirteen order relations between two temporal intervals embedded in IR 1 .”
BackgroundTemporal Bayesian Network of Events for Diagnosis and Prediction in Dynamic Domains
Arroyo-Figueroa, G., & Sucar, L. E. (2005) · Applied intelligence (Boston) · doi:10.1007/s10489-005-3413-x · Cited by 40
“As a TN is defined by a set of time intervals, we can relate these time intervals based on Allen’s temporal algebra [ 13 ].”
Extracting interpretable muscle activation patterns with time series knowledge mining
Moerchen, F., Ultsch, A., & Hoos, O. (2005) · Int. J. Knowl. Based Intell. Eng. Syst. · doi:10.3233/kes-2005-9304 · Cited by 40
“H¨oppner [10] mines temporal rules expressed with Allen’s [11] interval logic and a sliding window to restrict the pattern length.”
Context Driven Observation of Human Activity
Crowley, J. (2003) · EUSAI · doi:10.1007/978-3-540-39863-9_9 · Cited by 40
“Relations that are important for describing situations include 2D and 3D spatial relations, as well as temporal relations [32].”
BackgroundConflict detection during plan integration for multi-agent systems
Barber, K. S., Liu, T.-H., & Ramaswamy, S. (2001) · IEEE Trans. Syst. Man Cybern. Part B · doi:10.1109/3477.938264 · Cited by 40
“25 implemented Waltzer’s constraint engine and Allen’s transitivity tables of temporal database [27] in Allegro Common Lisp.”
MethodCell tuple based spatio-temporal data model: an object oriented approach
Raza, A., & Kainz, W. (1999) · ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems · doi:10.1145/320134.320140 · Cited by 40
“Structural aspects of time are defined by three subclasses, i.e. linear-, branching- and cyclic-TimeClass, each with numbers of temporal operations such as before, after, during, meets, etc. [1].”
BackgroundSynchronization for Interactive Multimedia Presentations
Huang, C.-M., & Wang, C. (1998) · IEEE Multim. · doi:10.1109/93.735868 · Cited by 40
“Because the interrupt point lies between time points t 4 and t5, the slide actor DEFSM changes from state SA ( 3 ) to SA (2) once the user interaction is complete—that is, after it executes transition DTA.”
BackgroundMethodInfluentialUsing weighted spatial relationships in retrieval by visual contents
Bimbo, A., & Vicario, E. (1998) · Proceedings. IEEE Workshop on Content-Based Access of Image and Video Libraries (Cat. No.98EX173) · doi:10.1109/ivl.1998.694485 · Cited by 40
Time-Dependent Concepts: Representation and Reasoning Using Temporal Description Logics
Bettini, C. (1997) · Data & Knowledge Engineering · doi:10.1016/s0169-023x(96)00036-5 · Cited by 40
Representing temporal musical objects and reasoning in the MusES system
Pachet, F., Ramalho, G., & Carrive, J. (1996) · doi:10.1080/09298219608570707 · Cited by 40
“Allen (1983) showed that only 13 binary relations may be stated between two time intervals (meets, finishes, overlaps, etc.) Our model may be seen as a particular implementation of Allen's model, with important extensions as we will see below.”
BackgroundMethodA visual query language for identifying temporal trends in video data
Hibino, S., & Rundensteiner, E. A. (1995) · Proceedings. International Workshop on Multi-Media Database Management Systems · doi:10.1109/mmdbms.1995.520425 · Cited by 40
“In order to be complete, a temporal graphical query language needs to be able to specify any primitive temporal relationship (Allen, 1983) as well as any combination of these primitives.”
BackgroundA temporal reasoning framework used in the diagnosis of skeletal dysplasias
Keravnou, E., & Washbrook, J. (1990) · Artif. Intell. Medicine · doi:10.1016/0933-3657(90)90001-8 · Cited by 40
On Topological Consistency and Realization
Li, S. (2006) · Constraints · doi:10.1007/s10601-006-6847-9 · Cited by 40
“For example, it is the smallest set of base relations which allows topological distinctions rather than purely mereological; it is the spatial counterpart of Allen’s 11 temporal relations [1]; the cognitive adequacy of RCC8 base relations has been justified by empirical investigations [11].”
BackgroundMethodGuiding the user through dynamically generated hypermedia presentations with a life-like character
André, E., Rist, T., & Müller, J. (1998) · International Conference on Intelligent User Interfaces · doi:10.1145/268389.268394 · Cited by 40
Lin, X., Xu, C.-J., Haihong, E., Su, F., Zhou, G., Hu, T., Li, N., Sun, M., & Luo, H. (2022) · Neural Information Processing Systems · doi:10.48550/arxiv.2205.14307 · Cited by 39
“For example, Allen [49] defined 13 types of temporal relations represented by two intervals, including before/after, during/contains, overlaps/overlapped-by, meets/met-by, starts/started-by, finishes/finished-by and equal.”
BackgroundComposing Energy Services in a Crowdsourced IoT Environment
Lakhdari, A., Bouguettaya, A., Mistry, S., & Neiat, A. G. (2021) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2020.2980258 · Cited by 39
“We use Allen’s interval algebra [28] to define the temporal composability of energy services.”
MethodGhazouani, F., Farah, I. R., & Solaiman, B. (2019) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2019.2922908 · Cited by 49
“Generally, Allen’s interval algebra [53] is the most used model for topological temporal rela-”
BackgroundMethodLearning spatial relations and shapes for structural object description and scene recognition
Clément, M., Kurtz, C., & Wendling, L. (2018) · Pattern Recognition · doi:10.1016/j.patcog.2018.06.017 · Cited by 42
Rigorous design of robot software: A formal component-based approach
Abdellatif, T., Bensalem, S., Combaz, J., de Silva, L., & Ingrand, F. (2012) · Robotics Auton. Syst. · doi:10.1016/j.robot.2012.09.005 · Cited by 39
“Since ATL is the logic of planning, an automated translation from ATL to BIP components enables to use rigorous design and implementation techniques and tools in a domain lacking them.”
InfluentialRibaric, S., & Hrkać, T. (2012) · Information Systems · doi:10.1016/j.is.2011.09.010 · Cited by 39
“A TLM is a temporal logical module that supports, in general, the following temporal relationships: 13 Allen’s time-interval relationships [47], five relationships between the time point and the time interval, and three temporal relationships between the time points.”
BackgroundMethodTimesheets.js: when SMIL meets HTML5 and CSS3
Cazenave, F., Quint, V., & Roisin, C. (2011) · ACM Symposium on Document Engineering · doi:10.1145/2034691.2034700 · Cited by 39
“These relations are typically those de.ned by Allen [1].”
BackgroundInfluentialSequence Algebra, Sequence Decision Diagrams and Dynamic Fault Trees
Rauzy, A. (2011) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2011.02.005 · Cited by 39
What's Decidable about Halpern and Shoham's Interval Logic? The Maximal Fragment ABBL
Bresolin, D., Montanari, A., Sala, P., & Sciavicco, G. (2011) · 2011 IEEE 26th Annual Symposium on Logic in Computer Science · doi:10.1109/lics.2011.35 · Cited by 39
“HS allows one to express all possible ordering relations between any pair of intervals (the so-called Allen’s interval relations [2]), and it features one modal operator for each of them (obviously, no modal operator is needed for the equality relation), that is, 〈A〉 for meets, 〈B〉 for begins, 〈E〉…”
BackgroundAutomatic generation of temporal planning domains for e-learning problems
Castillo, L., Morales, L., González-Ferrer, A., Fdez-Olivares, J., Borrajo, D., & Onaindía, E. (2010) · Journal of Scheduling · doi:10.1007/s10951-009-0140-x · Cited by 39
TRAcME: Temporal Activity Recognition Using Mobile Phone Data
Choujaa, D., & Dulay, N. (2008) · 2008 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing · doi:10.1109/euc.2008.33 · Cited by 39
“A resolution of 30 minutes provides reasonable accuracy for many daily activities and allows TRAcME to compute robust features.”
BackgroundKnowledge Engineering in a Temporal Semantic Web Context
Milea, V., Frasincar, F., & Kaymak, U. (2008) · 2008 Eighth International Conference on Web Engineering · doi:10.1109/icwe.2008.10 · Cited by 39
“By employing this particular concrete domain, we can express Allen’s 13 [1] interval relations in the language and enable the representation of temporal dependencies between events.”
BackgroundMethodLiterature review of spatio-temporal database models
Pelekis, N., Theodoulidis, B., Kopanakis, I., & Theodoridis, Y. (2004) · Knowledge engineering review (Print) · doi:10.1017/s026988890400013x · Cited by 39
“Allen (1983)was the 236 .”
BackgroundInfluentialToward RoboCup without Color Labeling
Hanek, R., Schmitt, T., Buck, S., & Beetz, M. (2003) · The AI Magazine · doi:10.1609/aimag.v24i2.1703 · Cited by 39
“a beforeb,a overlapsb, etc.) ( Allen 1983 ) into higher-dimensional, spatial relationships.”
Object-oriented temporal GIS for urban applications
Raza, A. (2001) · doi:10.3990/1.9789036515405 · Cited by 39
“, linear, branching and cyclic time, each with a number of temporal operations such as before, after, equal, meets, met, overlaps, overlapped, covers, during, starts, started, finishes, finished (Allen, 1983).”
BackgroundBrusoni, V., Console, L., Terenziani, P., & Pernici, B. (1999) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/69.824613 · Cited by 39
Automatic generation of test oracles: from pilot studies to application
Feather, M., & Smith, B. D. (1999) · 14th IEEE International Conference on Automated Software Engineering · doi:10.1023/a:1008711707946 · Cited by 39
“More interesting are the terms “ meets” and “met-by,” which are binary temporal relations between intervals, drawn from the work by (Allen, 1983).”
BackgroundOn Determining the Consistency of Partial Descriptions of Trees
Cornell, T. (1994) · Annual Meeting of the Association for Computational Linguistics · doi:10.3115/981732.981755 · Cited by 39
Reflexive CSCW: Supporting Long-Term Personal Work
Thimbleby, H., Anderson, S., & Witten, I. (1990) · Interacting with computers · doi:10.1016/0953-5438(90)90005-3 · Cited by 39
“Recently temporal logics have been discussed in connection with artificial intelligence ([Allen, 1983, Allen, 1984, McDermott, 1982])—a discussion that would have benefited greatly from a rigorous ontological characterization of approaches to describing intervals and events such as that of Van…”
BackgroundLlorens, H., Saquete, E., & Navarro-Colorado, B. (2012) · Information Processing & Management · doi:10.1016/j.ipm.2012.05.005 · Cited by 39
“The interest in the temporal aspects of natural language is not new in the field of artificial intelligence (Allen, 1983).”
BackgroundRegion-Based Theories of Space: Mereotopology and Beyond
Hahmann, T., & Gruninger, M. (2012) · doi:10.4018/978-1-61692-868-1.ch001 · Cited by 39
“Composition tables might be most familiar from work on the temporal interval calculus (Allen, 1983), but have also been used for spatial reasoning, for instance with the RCC (cf.”
MethodTime-integrative geographic information systems
Ott, T., & Swiaczny, F. (2001) · Springer eBooks · doi:10.1007/978-3-642-56747-6 · Cited by 39
“IEEE, New York, pp 86-91 Allen E, Edwards G, Bédard Y (1995) Qualitative causal modeling in temporal GIS.”
BackgroundVisual knowledge in the big model era: retrospect and prospect
Wang, W., Yang, Y., & Pan, Y. (2025) · Frontiers of Information Technology & Electronic Engineering · doi:10.1631/fitee.2400250 · Cited by 36
“4 Illustration of 13 base temporal relations de-fined in Allen’s interval algebra (Allen, 1983) 3.”
Streaming MASSIF: Cascading Reasoning for Efficient Processing of IoT Data Streams
Bonte, P., Tommasini, R., Valle, E. D., Turck, F. D., & Ongenae, F. (2018) · Sensors · doi:10.3390/s18113832 · Cited by 32
“Note that more advanced temporal relations exist, such as the ones presented in Allen’s interval algebra [30].”
BackgroundOn the Semantics of Ongoing and Future Occurrence Identifiers
Guarino, N. (2017) · International Conference on Conceptual Modeling · doi:10.1007/978-3-319-69904-2_36 · Cited by 38
Survey on modeling and indexing events in multimedia
Scherp, A., & Mezaris, V. (2013) · Multimedia tools and applications · doi:10.1007/s11042-013-1427-7 · Cited by 38
“CASE E allows for modeling temporal relations between events based on the Allen’s time calculus [1] as well as sub-event relationships along the temporal dimension.”
MethodSemantic adaptation of multimedia documents
Laborie, S., Euzenat, J., & Layaïda, N. (2011) · Multimedia tools and applications · doi:10.1007/s11042-010-0552-9 · Cited by 38
“In this paper, rt refers to Allen relations [1] and rs refers to RCC8 relations [32] (see Figure 5 and 6).”
BackgroundDO-ROAM: Activity-Oriented Search and Navigation with OpenStreetMap
Codescu, M., Horsinka, G., Kutz, O., Mossakowski, T., & Rau, R. (2011) · International Conference on GeoSpatial Semantics · doi:10.1007/978-3-642-20630-6_6 · Cited by 38
“The query given by the user will also be retrieved as a set of time intervals and the test whether a certain location satisfies a certain time restriction is done using Allen’s interval calculus [2], in particular, using the relations “contains” and “overlaps” between intervals.”
MethodFrasincar, F., Milea, V., & Kaymak, U. (2010) · Semantic Web Information Management · doi:10.1007/978-3-642-04329-1_11 · Cited by 38
A Chinese Handwriting Education System with Automatic Error Detection
Hu, Z., Xu, Y., Huang, L., & Leung, H. (2009) · Journal of Software · doi:10.4304/jsw.4.2.101-107 · Cited by 38
“The dissimilarity between (�� ti, �� ti) and (�� sj, �� sj) is defined as D(Rti, Rsj) which is derived from the idea of the interval neighborhood graph [ 15 ][21].”
Context‐aware environments: from specification to implementation
Reignier, P., Brdiczka, O., Vaufreydaz, D., Crowley, J., & Maisonnasse, J. (2007) · Expert Syst. J. Knowl. Eng. · doi:10.1111/j.1468-0394.2007.00436.x · Cited by 38
“Allen’s temporal operators (Allen, 1983) can be used to describe relationships between situations (Figure 1).”
BackgroundInfluentialKim, H. M., Fox, M., & Sengupta, A. (2007) · Journal of the AIS · doi:10.17705/1jais.00115 · Cited by 38
“Common-sense models of the natural world include those of time [Allen, 1983], space [Kautz, 1985], materials [Hayes, 1985], causality [Reiger and Grinberg, 1977], activity [Sathi et al., 1985], and qualitative physics [Kuipers, 1986].”
BackgroundExtending the event calculus for tracking epidemic spread
Chaudet, H. (2006) · Artif. Intell. Medicine · doi:10.1016/j.artmed.2005.06.001 · Cited by 38
“Implicitly, time processing in EC is similar to Allen’s interval calculus [19], which is also based on event occurrences.”
MethodA generic library of problem solving methods for scheduling applications
Rajpathak, D. G., Motta, E., Zdráhal, Z., & Roy, R. (2003) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1145/945645.945663 · Cited by 38
“Allen’s [1] representation of standard time and relations.”
BackgroundEnhancing profiles for anomaly detection using time granularities
Li, Y.-J., Wu, N., Wang, X., & Jajodia, S. (2002) · Journal of computing and security · doi:10.3233/jcs-2002-101-206 · Cited by 38
Formalization of Workflows and Correctness Issues in the Presence of Concurrency
Arpinar, I. B., Halici, U., Arpinar, S., & Dogac, A. (1999) · Distributed and parallel databases · doi:10.1023/a:1008758612291 · Cited by 38
“More information about time intervals and relations between them can be found in [2].”
BackgroundModels, methods, roles and tasks: Many labels - one idea?
Karbach, W., Linster, M., & Voß, A. (1990) · Knowledge Acquistion · doi:10.1016/s1042-8143(05)80011-1 · Cited by 38
A Measurement Ontology Generalizable for Emerging Domain Applications on the Semantic Web
Kim, H. M., Sengupta, A., Fox, M., & Dalkilic, M. M. (2007) · Journal of Database Management · doi:10.4018/jdm.2007010102 · Cited by 38
“There are common-sense models of time (Allen, 1983), space (Retz-Schmidt, 1988), causality (Reiger & Grinberg, 1977), and physics (Hayes, 1985; Kuipers, 1986).”
BackgroundMining Relationships Between Interacting Episodes
Mooney, C., & Roddick, J. (2004) · SDM · doi:10.1137/1.9781611972740.1 · Cited by 38
“These relationships can be used to express the complete set of Allen’s [4] temporal relations, those of which are immediately relevant during, overlaps, meets and their inverses, are summarised in Table 1.”
BackgroundMethodInfluentialGurrin, C. (2000) · EDBT PhD Workshop · doi:10.1007/978-0-387-39940-9_1027 · Cited by 38
“In order to enable modelling and querying objects and events using the grammars, it should support a basic set of spatio-temporal relations like ones defined in [21] [22].”
MethodYesodha, K., Krishnamurthy, M., Selvi, M., & Kannan, A. (2024) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-024-01650-w · Cited by 37
Temporal detection and analysis of guideline interactions
Anselma, L., Piovesan, L., & Terenziani, P. (2017) · Artif. Intell. Medicine · doi:10.1016/j.artmed.2017.01.001 · Cited by 37
“Furthermore, there are interesting analogies with ASBRU temporal ontology [14], which also models action intentions, and Allen’s temporal constraints [34], as well as delays and durations.”
BackgroundMethodWeighted and directed interactions in evolving large-scale epileptic brain networks
Dickten, H., Porz, S., Elger, C. E., & Lehnertz, K. (2016) · Scientific Reports · doi:10.1038/srep34824 · Cited by 43
Algorithms for Simple Temporal Reasoning
Planken, L. (2013) · doi:10.4233/uuid:2e41be6a-5220-421c-bef8-bbb8f91c128f · Cited by 37
Interactive querying of temporal data using a comic strip metaphor
Jin, J., & Szekely, P. A. (2010) · 2010 IEEE Symposium on Visual Analytics Science and Technology · doi:10.1109/vast.2010.5652890 · Cited by 37
“TVQL uses four double-sided sliders to allow users to express the relationship between interval endpoints, supporting Allen’s 13 relational primitives [2].”
MethodModelling and solving temporal reasoning as propositional satisfiability
Pham, D., Thornton, J., & Sattar, A. (2008) · Artificial Intelligence · doi:10.1016/j.artint.2008.06.003 · Cited by 37
“In his seminal work, Allen [1] proposed an algorithm to systematically search through all possible singleton networks resulting from instantiating binary constraints with atomic relations and then to enforce path consistency on these instantiated networks.”
BackgroundMethodInfluentialGeographical information access for non-structured data
Lesbegueries, J., Gaio, M., & Loustau, P. (2006) · ACM Symposium on Applied Computing · doi:10.1145/1141277.1141296 · Cited by 37
“…the temporal expression in a formal structure representing three types: (cid:127) algebraic intervals with a hierachical relation as Allen’s [1] interval, such structure cleary appears in the expression “the first part of the XIX th Century”; (cid:127) metric as in the expression “for 80…”
BackgroundA RDF-based model for expressing spatio-temporal relations between Web sites
Buraga, S., & Ciobanu, G. (2002) · Proceedings of the Third International Conference on Web Information Systems Engineering, 2002. WISE 2002. · doi:10.1109/wise.2002.1181671 · Cited by 37
“The computational properties of the interval calculus and algorithms for maintaining networks of temporal constraints are presented in [1,2,28].”
BackgroundTwo Logical Theories of Plan Recognition
Wobcke, W. (2002) · Journal of Logic and Computation · doi:10.1093/logcom/12.3.371 · Cited by 37
“DEFINITION 4.1 An almost-connected partial order on a set is a binary relation that satisfies the following conditions (for all , ), * ): (i) reflexive, i.e. ; (ii) antisymmetric, i.e. ) and) implies ); (iii) transitive, i.e. ) and) * implies *; (iv) almost-connected, i.e. ) implies ), * or * ).”
BackgroundInfluentialChittaro, L., & Carlo, C. (2001) · Proceedings Eighth International Symposium on Temporal Representation and Reasoning. TIME 2001 · doi:10.1109/time.2001.930692 · Cited by 37
“To represent these cases with the visual interval representation described above, one has to resort to disjunctions of Allen’s relations; indeed, Case 1 can be modeled by the formula: (B starts A) ∨ (A starts B) ∨ (A equal B) which is visually represented in Figure 2, while Case 2 can be modeled by several formulas, e…”
MethodInfluentialReified Temporal Logics: An Overview
Ma, J.-X., & Knight, B. (2001) · Artificial Intelligence Review · doi:10.1023/a:1011018426725 · Cited by 37
“Unlike McDermott’s temporal logic which adopts states that are associated with time points, Allen develops his theory of time and action based on intervals as primitive rather than as derived structure from points (Allen 1983; Allen 1984).”
BackgroundResultInfluentialExpressing Time Intervals and Repetition Within a Formalization of Calendars
Cukierman, D., & Delgrande, J. P. (1998) · International Conference on Climate Informatics · doi:10.1111/0824-7935.00075 · Cited by 37
“We base definitions on the thirteen basic relations of Allen’s Interval Algebra. These relations appear in Table 1. New relations are defined as specific disjunctions of basic interval relations. Figure 1 shows these relations as overlays on the N ̈ ok l lattice. This partial order among the interval relations appears…”
BackgroundMethodInfluentialTemporal diagnostic reasoning based on time-objects
Keravnou, E. (1996) · Artif. Intell. Medicine · doi:10.1016/0933-3657(95)00035-6 · Cited by 37
Searching and browsing a shared video database
Hjelsvold, R., Midtstraum, R., & Sandstå, O. (1995) · Proceedings. International Workshop on Multi-Media Database Management Systems · doi:10.1109/mmdbms.1995.520427 · Cited by 37
“( − ,(I,3,4)) ( − ,(II,0,2)) Figure 5 Example Showing the Interval Set Operators Filter Operations: Allen has shown that there are 13 possible (distinct) relationships that can exist between two temporal intervals [1] { e.”
BackgroundTIME, ACTION‐TYPES, AND CAUSATION: AN INTEGRATED ANALYSIS
Terenziani, P., & Torasso, P. (1995) · International Conference on Climate Informatics · doi:10.1111/j.1467-8640.1995.tb00047.x · Cited by 37
““Inverse” temporal relations have been omitted for the sake of brevity; the relations between time points, between time intervals, and between time points and time intervals we adopt are exactly those in Vilain and Kautz ( 1986), Allen (1983), and Vilain (1982) and are shown in Figure 4.”
BackgroundMethodLaTeR: A General Purpose Manager of Temporal Information
Brusoni, V., Console, L., Pernici, B., & Terenziani, P. (1994) · International Syposium on Methodologies for Intelligent Systems · doi:10.1007/3-540-58495-1_26 · Cited by 37
“As regards qualitative information different algebrae of temporal relations have been proposed for dealing with time intervals [ 1 ], time points [15] or both of them [14].”
BackgroundInfluential
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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