The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Maintaining knowledge about temporal intervals
Open accessAbstract
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
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving
Fikes, R. E., & Nilsson, N. J. (1971) · Artificial Intelligence · doi:10.1016/0004-3702(71)90010-5 · Cited by 4,882
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
- Allen J. F., 1983, Joint Conf. Artificial Intelligence
- 10.1016/0004-3702(72)90040-9 · DOI
- Bubenko J. A., Jr., 1980, Proc. IFIP Congress
- 10.1016/0004-3702(79)90008-0 · DOI
- 10.5555/1622876.1622939 · DOI
- Foderaro J. K., 1980, Berkeley
- 10.1145/322290.322292 · DOI
- Hayes P. J., 1979, Edinburgh U. Press
- Hayes P. J., 1978, Geneva
- 10.1016/0004-3702(73)90010-6 · DOI
- 10.1016/0004-3702(77)90015-7 · DOI
- McCarthy J., 1969, Edinburgh U. Press
- 10.1207/s15516709cog0602_1 · DOI
- 10.1007/978-3-7091-7664-1 · DOI
- Sacerdoti E. D., 1977, Elsevier North- Holland
- Vilain M., 1982, Proc. AAAI 82
Cited by
Sorted by citations
Items 701–800 of 1,006
Studying interval valued matrix games with fuzzy logic
Collins, W. D., & Hu, C.-Y. (2008) · Soft Computing - A Fusion of Foundations, Methodologies and Applications · doi:10.1007/s00500-007-0207-6 · Cited by 54
“Allen’s paper Allen (1983) in 1983 listed 13 possible cases for the temporal relationships of two time intervals.”
BackgroundRekall: Specifying Video Events using Compositions of Spatiotemporal Labels
Fu, D. Y., Crichton, W., Hong, J., Yao, X., Zhang, H., Truong, A., Narayan, A., Agrawala, M., Ré, C., & Fatahalian, K. (2019) · arXiv.org · doi:10.48550/arxiv.1910.02993 · Cited by 53
“As shown at right in Figure 4, R EKALL provides a standard library of common spatial and temporal predicates such as the Allen interval operations [5] and their 2D spatial analogues [9].”
BackgroundWilk, S., Michalowski, M., Michalowski, W., Rosu, D., Carrier, M., & Kezadri-Hamiaz, M. (2017) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2016.12.002 · Cited by 53
Chance-Constrained Probabilistic Simple Temporal Problems
Fang, C., Peng, Y., & Williams, B. (2014) · AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v28i1.9048 · Cited by 53
“Temporal planning has been extensively studied in the operations research and artificial intelligence communities, with early works such as (Baker and Baker 1974; Allen 1983; Valdes-Perez 1986).”
BackgroundCaesar: an intelligent domestic service robot
Schiffer, S., Ferrein, A., & Lakemeyer, G. (2012) · Intelligent Service Robotics · doi:10.1007/s11370-012-0118-y · Cited by 53
“We therefore chose Allen’s Interval Algebra [2] as our basis.”
MethodExtraction of temporal facts and events from Wikipedia
Kuzey, E., & Weikum, G. (2012) · Proceedings of the 2nd Temporal Web Analytics Workshop · doi:10.1145/2169095.2169101 · Cited by 32
“In the TempEval Challenge, only a restricted set of Allen-style [2] temporal relations are used.”
MethodConstraint-Based Model for Synthesis of Multimodal Sequential Expressions of Emotions
Niewiadomski, R., Hyniewska, S., & Pelachaud, C. (2011) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2011.5 · Cited by 53
“Comparing to the solution proposed in [28], we use the " exists " operator that influences our inference algorithm.”
MethodStochastic Representation and Recognition of High-Level Group Activities
Ryoo, M., & Aggarwal, J. K. (2011) · International Journal of Computer Vision · doi:10.1007/s11263-010-0355-5 · Cited by 53
“Siskind (2001) represented human actions in a form similar to a first order logic with Allen’s temporal predicates. Their event logic focused on a particular class of activities called ‘liquid’ events, and it was able to represent activities having multiple levels of hierarchy by limiting a sub-event to be used only o…”
BackgroundInfluentialInterval-based Temporal Reasoning with General TBoxes
Lutz, C. (2001) · International Joint Conference on Artificial Intelligence · doi:10.25368/2022.109 · Cited by 53
“As observed by Allen [1983], there are 13 possible relationships between two intervals such as, for example, the meets relation: two intervals i1 and i2 are related by meets iff the right endpoint of i1 is identical to the left endpoint of i2 —see [Allen,1983] for an exact definition of the other…”
BackgroundInfluentialConceptual modeling for data and knowledge management
Mineau, G., Missaoui, R., & Godinx, R. (2000) · Data & Knowledge Engineering · doi:10.1016/s0169-023x(99)00049-x · Cited by 53
Modelling the Real World: Conceptual Modelling in Spatiotemporal Information System Design
Renolen, A. (2000) · Trans. GIS · doi:10.1111/1467-9671.00036 · Cited by 53
“…(cid:133) wet (cid:133) p ; s 0 (cid:134) ; s (cid:134) Allen (1984) presents a further development of the situation calculus where events, processes, activities and causality are expressed as predicates occurring over time intervals along with binary operators over temporal intervals (Allen 1983).”
BackgroundQuery processing for temporal databases
Leung, T. Y. C., & Muntz, R. (1990) · [1990] Proceedings. Sixth International Conference on Data Engineering · doi:10.1109/icde.1990.113470 · Cited by 53
Formal Models for Cognition - Taxonomy of Spatial Location Description and Frames of Reference
Frank, A. (1998) · Spatial Cognition · doi:10.1007/3-540-69342-4_14 · Cited by 53
“They are mostly influenced by Allen’s calculus for time relations (Allen 1983) and follow a mathematical tradition, to give as a result the conjunction of all possible results.”
BackgroundEvents as Entities in Ontology-Driven Conceptual Modeling
Almeida, J. P., Falbo, R. D. A., & Guizzardi, G. (2019) · International Conference on Conceptual Modeling · doi:10.1007/978-3-030-33223-5_39 · Cited by 52
Supervised language modeling for temporal resolution of texts
Kumar, A., Lease, M., & Baldridge, J. (2011) · International Conference on Information and Knowledge Management · doi:10.1145/2063576.2063892 · Cited by 52
“PhD thesis, University of Groningen, Netherlands, May 2010.”
BackgroundA Framework for Visualization and Exploration of Events
Beard, K., Deese, H., & Pettigrew, N. (2008) · Information Visualization · doi:10.1057/palgrave.ivs.9500165 · Cited by 52
Unified Semantics for Event Correlation over Time and Space in Hybrid Network Environments
Yoneki, E., & Bacon, J. (2005) · OTM Conferences · doi:10.1007/11575771_24 · Cited by 52
“Reference [ 1 ] argues that all events have duration and considers intervals to be the basic timing concept.”
BackgroundContext-Awareness in User Modelling: Requirements Analysis for a Case-Based Reasoning Application
Zimmermann, A. (2003) · International Conference on Case-Based Reasoning · doi:10.1007/3-540-45006-8_54 · Cited by 52
“In [10] the representation of temporal knowledge in a case is based on Allen ’s thirteen temporal relations [ 1 ].”
MethodDouble-Crossing: Decidability and Computational Complexity of a Qualitative Calculus for Navigation
Scivos, A., & Nebel, B. (2001) · Conference On Spatial Information Theory · doi:10.1007/3-540-45424-1_29 · Cited by 52
“Meanwhile there exist a number of qualitative temporal and spatial calculi, such as Allen’s [1] interval calculus for reasoning about time, a calculus for reasoning about qualitative directions [4], and a calculus for reasoning about topological relations [2, 21].”
BackgroundAn Information Architecture to Support the Visualization of Personal Histories
Plaisant, C., Shneiderman, B., & Mushlin, R. (1998) · Information Processing & Management · doi:10.1016/s0306-4573(98)00024-7 · Cited by 52
An introduction to executable temporal logics
Fisher, M. (1996) · Knowledge engineering review (Print) · doi:10.1017/s0269888900007670 · Cited by 52
“For further references to interval temporal logics and their applications in such diverse areas and AI and Hardware Verification, see Allen (1983), Schwartz et al. (1983), Moszkowski and Manna (1984) and Allen and Hayes (1985).”
BackgroundTemporal reasoning in Timegraph I–II
Gerevini, A., Schubert, L. K., & Schaeffer, S. (1993) · SGAR · doi:10.1145/152947.152953 · Cited by 52
“The elements of PA are the set of binary relations {<, > , = , -<,>_,5, -<>,0}, through which the "pointizable" subset of relations of Allen's Interval Algebra (IA) [2] (sometimes called PIA) can be represented [14].”
BackgroundA theory of action for multi-agent planning
Georgeff, M. (1988) · Elsevier eBooks · doi:10.1016/b978-0-934613-63-7.50023-1 · Cited by 52
A formal logic of plans in temporally rich domains
Pelavin, R., & Allen, J. F. (1986) · Proceedings of the IEEE · doi:10.1109/proc.1986.13638 · Cited by 52
Self-citationPal, M., Samanta, S., & Ghorai, G. (2020) · Modern Trends in Fuzzy Graph Theory · doi:10.1007/978-981-15-8803-7_6 · Cited by 52
“Let the core and the support of 1 be [2,7] and [1,8] ; that of , 2 be [4,6] and [3,7] ; that of 3 be [9,13] and [7.”
AI Approaches to the Complexity of Legal Systems
Casanovas, P., Pagallo, U., Palmirani, M., & Sartor, G. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-662-45960-7 · Cited by 52
“part of** represent all the possible relations between time interval such as Allen’s interval algebra[22].”
InfluentialEnergy-Efficient IoT Service Composition for Concurrent Timed Applications
Sun, M., Zhou, Z.-B., Wang, J.-P., Du, C., & Gaaloul, W. (2019) · Future generations computer systems · doi:10.1016/j.future.2019.05.070 · Cited by 51
An intelligent neuro fuzzy temporal knowledge representation model for mining temporal patterns
Sethukkarasi, R., Ganapathy, S., Yogesh, P., & Kannan, A. (2014) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/ifs-130803 · Cited by 51
“Now the FTCM is converted into a rule based fuzzy inference system by integrating neuro fuzzy rules with Allen’s temporal relations [3] to get neuro fuzzy temporal rules.”
MethodMultisensor Fusion for Monitoring Elderly Activities at Home
Zouba, N., Brémond, F., & Thonnat, M. (2009) · 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance · doi:10.1109/avss.2009.27 · Cited by 51
“An event model M of an event E is composed of five parts: ”physical objects” (a set of variables whose values correspond to the physical objects involved in E), ”components” (a set of variables whose values correspond to the event instances composing E), ”forbidden components” (a set of variables corresponding to all…”
BackgroundApplied Temporal RDF: Efficient Temporal Querying of RDF Data with SPARQL
Tappolet, J., & Bernstein, A. (2009) · Extended Semantic Web Conference · doi:10.1007/978-3-642-02121-3_25 · Cited by 51
“These properties are the well-know Allen Interval Relations [15].”
BackgroundA Real-Time Scene Understanding System for Airport Apron Monitoring
Thirde, D., Borg, M., Ferryman, J., Fusier, F., Valentin, V., Brémond, F., & Thonnat, M. (2006) · International Conference on Virtual Storytelling · doi:10.1109/icvs.2006.7 · Cited by 51
“• a set of constraints (symbolic, logical, spatial and temporal constraints including Allen’s interval algebra operators [2]) involving these variables.”
BackgroundDaum, B., & Merten, U. (2002) · doi:10.1016/b978-1-55860-745-3.x5000-4 · Cited by 51
An access control model for video database systems
Bertino, E., Hammad, M., Aref, W., & Elmagarmid, A. (2000) · International Conference on Information and Knowledge Management · doi:10.1145/354756.354838 · Cited by 51
“INPUT: [1] An access request (u; o; p), [2] The authorization rules set AR”
BackgroundInfluentialVIDEX: an integrated generic video indexing approach
Tusch, R., Kosch, H., & Böszörményi, L. (2000) · ACM Multimedia · doi:10.1145/354384.376360 · Cited by 51
“The interface implicitly includes the 13 temporal interval relations proposed in [ 1 ], although it only defines seven.”
BackgroundA Framework for Temporal Data Mining
Chen, X., & Petrounias, I. (1998) · International Conference on Database and Expert Systems Applications · doi:10.1007/bfb0054535 · Cited by 51
“can be any of the possible relationships between time interval, firstly identified in [ 2 ] and later extended in [8].”
An Introduction to Executable Modal and Temporal Logics
Fisher, M., & Owens, R. (1993) · Executable Modal and Temporal Logics · doi:10.1007/3-540-58976-7_1 · Cited by 51
“For further references to interval temporal logics and their applications in such diverse areas and AI and Hardware Verification, see [ 5 , 64, 58, 7] 10 Michael Fisher & Richard Owens”
BackgroundUsing hindsight in medical decision making.
Russ, T. A. (1989) · Computer Methods and Programs in Biomedicine · doi:10.1016/0169-2607(90)90088-q · Cited by 51
“Major work in AI has focused on de ning relationships between di ering time intervals and creating a calculus for the manipulation of these relations [1, 2, 3, 14, 15], the use of constraint propagation techniques to narrow ambiguous bounds on temporal statements [13, 17].”
BackgroundOntologies of Time and Time-based Reasoning for MBSE of Cyber-Physical Systems
Petnga, L., & Austin, M. (2013) · Conference on Systems Engineering Research · doi:10.1016/j.procs.2013.01.042 · Cited by 51
“In particular, interval-based temporal logics built over Allen’s Interval Algebra [17] or Moszkowski’s Interval Temporal Logic[18] appear as adequate choices to support practical temporal reasoning for the class of CPS systems with above-mentioned characteristics.”
BackgroundMethodFuzzy Reasoning about Geographic Regions
Guesgen, H. (2005) · doi:10.1007/3-540-26886-3_1 · Cited by 51
Allen, R. (1990) · Springer eBooks · doi:10.1007/978-94-011-2624-3_9 · Cited by 51
Interactive Visual Data Analysis
Tominski, C., & Schumann, H. (2020) · Interactive Visual Data Analysis · doi:10.1201/9781315152707 · Cited by 50
Temporal Probabilistic Profiles for Sepsis Prediction in the ICU
Sheetrit, E., Nissim, N., Klimov, D., & D, Y. S. M. (2019) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3292500.3330747 · Cited by 50
“Most timeinterval mining methods rely on Allen’s temporal relations [1] to represent the temporal logical relations among the time intervals.”
MethodSuchan, J., Bhatt, M., & Varadarajan, S. (2019) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2019/260 · Cited by 50
“…can be used for semantic Q/A , inference etc. to support decision-making. et al. , 1999] suffice; RA uses the relations of Interval Algebra (IA) [Allen, 1983] • Σ dyn : The set of fluents Φ = { φ 1 , ..., φ n } and events Θ = { θ 1 , ..., θ n } respectively characterise the dynamic properties…”
Temporal Reasoning for Supporting Temporal Queries in OWL 2.0
Batsakis, S., Stravoskoufos, K., & Petrakis, E. (2011) · International Conference on Knowledge-Based Intelligent Information & Engineering Systems · doi:10.1007/978-3-642-23851-2_57 · Cited by 50
Reasoning about cardinal directions between extended objects
Liu, W., Zhang, X., Li, S., & Ying, M. (2009) · Artificial Intelligence · doi:10.1016/j.artint.2010.05.006 · Cited by 50
“This calculus has 218 basic relations, which is quite large when compared with RCC8 and Allen’s Interval Algebra [1].”
BackgroundResultInfluentialExperiments with Reasoning for Temporal Relations between Events
Tatu, M., & Srikanth, M. (2008) · International Conference on Computational Linguistics · doi:10.3115/1599081.1599189 · Cited by 50
“These axioms were derived from Allen’s interval algebra (Allen, 1983).”
MethodA Relative Representation of Trajectories in Geogaphical Spaces
Noyon, V., Claramunt, C., & Devogele, T. (2007) · GeoInformatica · doi:10.1007/s10707-007-0023-2 · Cited by 50
“The main principle of the composition tables, initially introduced by Allen [ 2 ]a nd applied to temporal intervals, is to support the derivation of the relationship between A and C given the relationships between A and B ,a ndB and C. Composition tables can be used for deriving transitive relationships and reasoning…”
MethodAdding Temporal Semantics to Association Rules
Rainsford, C. P., & Roddick, J. (1999) · European Conference on Principles of Data Mining and Knowledge Discovery · doi:10.1007/978-3-540-48247-5_65 · Cited by 50
“For our work, Allen’s taxonomy of temporal relationships is adopted to describe the basic relationships between intervals [4].”
MethodDo you have the time? Composition and linking in time-based hypermedia
Hardman, L., van Ossenbruggen, J., Mullender, K., Rutledge, L., & Bulterman, D. (1999) · UK Conference on Hypertext · doi:10.1145/294469.294515 · Cited by 50
“J.F. Allen (1983).”
ResultInfluentialIntegrating Calendar Dates and Qualitative Temporal Constraints in the Treatment of Periodic Events
Terenziani, P. (1997) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/69.634754 · Cited by 50
“We use the relations between time intervals in Allen’s interval algebra [2].”
BackgroundMethodInfluentialExpressive Power and Complexity in Algebraic Logic
Hirsch, R. (1997) · Journal of Logic and Computation · doi:10.1093/logcom/7.3.309 · Cited by 50
Structured Temporal Composition of Multimedia Data
Duda, A., & Keramane, C. (1995) · Proceedings. International Workshop on Multi-Media Database Management Systems · doi:10.1109/mmdbms.1995.520432 · Cited by 50
“Many existing models for temporal composition of multimedia data are based on the Allen relations [1].”
BackgroundMethodInfluentialHierarchical Time Stream Petri Net: A Model for Hypermedia Systems
Sénac, P., de Saqui-Sannes, P., & Willrich, R. (1995) · Application and Theory of Petri Nets · doi:10.1007/3-540-60029-9_54 · Cited by 50
“Arbitrarily complex multimedia synchronization scenarios are built using a structuring minimalist approach based on the seven basic synchronization constructs of Allen’s logic of intervals [All83], [Ham72] depicted by Fig.”
MethodAlgernon—a tractable system for knowledge-representation
Crawford, J., & Kuipers, B. (1991) · SIGART Bull. · doi:10.1145/122296.122302 · Cited by 50
“Further, to ensure tractable and complete reasoning, one must restrict the expressiveness of a knowledge representation language almost to the point of unuseability (except within restricted domains [1, 6]).”
Backgroundvan Benthem, J. (1988) · REX Workshop · doi:10.1007/bfb0013020 · Cited by 50
“Arguments put forward by computer scientists for making the move towards intervals or periods, rather than points, have been partly similar to classical ones ('greater ease and naturalness of expression': Halpem & Shoham 1986, Kowalski & Sergot 1985), partly new, stressing computational advantages of period-based infe…”
ResultReasoning about Space, Actions, and Change: A Paradigm for Applications of Spatial Reasoning
Bhatt, M. (2014) · doi:10.4018/978-1-4666-4607-0.ch016 · Cited by 50
“Draft part of Allen’s theory is based on his seminal interval temporal logic [Allen 1983, Allen and Hayes 1985]. Bennett and Galton [2004] propose Versatile Event Logic (VEL), which consists of a general temporal ontology and semantics encompassing many other representations such as the situation calculus and event ca…”
BackgroundMethodInfluentialService Networks Modelling: An SOA & BPM Standpoint
Danylevych, O., Karastoyanova, D., & Leymann, F. (2010) · Journal of universal computer science (Online) · doi:10.3217/jucs-016-13-1668 · Cited by 50
Event-based media processing and analysis: A survey of the literature
Tzelepis, C., Ma, Z., Mezaris, V., Ionescu, B., Kompatsiaris, I., Boato, G., Sebe, N., & Yan, S. (2016) · Image and Vision Computing · doi:10.1016/j.imavis.2016.05.005 · Cited by 49
“CASEˆE allows for modeling temporal relations between events based on the Allen’s time calculus [1] as well as subevent relationships along the temporal dimension.”
MethodMorid, M. A., Sheng, O. R. L., Kawamoto, K., & Abdelrahman, S. (2020) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2020.103565 · Cited by 49
“The most common approach to extract TIRPs is using Allen’s temporal relations [27], with seven relations to capture the state of two alphabetic time intervals against each other (e.g., overlap , equals , meets ).”
Efficient Process Discovery From Event Streams Using Sequential Pattern Mining
Hassani, M., Siccha, S., Richter, F., & Seidl, T. (2015) · IEEE Symposium Series on Computational Intelligence · doi:10.1109/ssci.2015.195 · Cited by 49
“In the case of overlapping, more relations are considered between these temporal events (Allen relationships) [31].”
BackgroundA fuzzy tree matching-based personalised e-learning recommender system
Wu, D., Zhang, G.-Q., & Lu, J. (2015) · IEEE International Conference on Fuzzy Systems · doi:10.1109/tfuzz.2015.2426201 · Cited by 49
“According to Allen’s interval algebra [41], there are 13 temporal relations between a1 and a2 .”
A conceptual framework for geographic knowledge engineering
Laurini, R. (2014) · Journal of Visual Languages and Computing · doi:10.1016/j.jvlc.2013.10.004 · Cited by 49
“2 Topological relations: when boundaries are known, Allen for 1D [2], Egenhofer for 2D [15] relations can be used (Fig.”
MethodA complete chronicle discovery approach: application to activity analysis
Cram, D., Mathern, B., & Mille, A. (2011) · Expert Systems · doi:10.1111/j.1468-0394.2011.00591.x · Cited by 45
“:3) t Þj ð e ; t Þð e 0 ; h end for 11: end for 15: return D the Allen’s 13 qualitative temporal relations (Allen, 1983).”
BackgroundSpatiotemporal pattern queries
Sakr, M., & Güting, R. H. (2011) · GeoInformatica · doi:10.1007/s10707-010-0114-3 · Cited by 49
“The optimized query in Section 9.2.2 shows the effect of these ranslation rules.”
BackgroundInfluentialA Real-Time Negotiation Model and A Multi-Agent Sensor Network Implementation
Soh, L.-K., & Tsatsoulis, C. (2005) · Autonomous Agents and Multi-Agent Systems · doi:10.1007/s10458-005-0539-5 · Cited by 49
“We base our temporal model on [1] in which logical events or propositions can be ordered consistently along a timeline and durations of events or propositions holding true can be derived from their relationships with others.”
BackgroundMethodInfluentialTemporal Closure in an Annotation Environment
Verhagen, M. (2005) · Language Resources and Evaluation · doi:10.1007/s10579-005-7884-5 · Cited by 49
“The algorithm never compares more than three arcs at a time and there are temporal networks where each subgraph of three arcs is consistent but where there is no consistent labeling for the whole graph, an example is given in (Allen, 1983).”
BackgroundDiagrammatic representation for interval arithmetic
Kulpa, Z. (2001) · doi:10.1016/s0024-3795(00)00139-7 · Cited by 49
Hornsby, K., Egenhofer, M., & Hayes, P. (1999) · International Conference on Conceptual Modeling · doi:10.1007/3-540-48054-4_9 · Cited by 49
“Reasoning about temporal intervals addresses the problem that much of our temporal knowledge is relative and methods are needed that allow for significant imprecision in reasoning [16].”
Constraint Networks of Topological Relations and Convexity
Davis, E., Gotts, N., & Cohn, A. (1999) · Constraints · doi:10.1023/a:1026401931919 · Cited by 49
“Generalizing Allen’s [1] well-known relations on temporal intervals to the spatial case, these describe the containment relations between two regionsand their boundaries.”
BackgroundAutomatic knowledge acquisition for spatial document interpretation
Walischewski, H. (1997) · Proceedings of the Fourth International Conference on Document Analysis and Recognition · doi:10.1109/icdar.1997.619849 · Cited by 49
Hall, G., & Gupta, R. (1991) · [1991] Proceedings. Seventh International Conference on Data Engineering · doi:10.1109/icde.1991.131503 · Cited by 49
Language support for the Maruti real-time system
Nirkhe, V., Tripathi, S., & Agrawala, A. (1990) · [1990] Proceedings 11th Real-Time Systems Symposium · doi:10.1109/real.1990.128756 · Cited by 49
A Method of Spatial Reasoning Based on Qualitative Trigonometry
Liu, J.-M. (1998) · Artificial Intelligence · doi:10.1016/s0004-3702(97)00069-6 · Cited by 49
“As a result, the following qualitative angles can be inferred: [ 6 BCD]= Acute (22) [ 6 DBC]= SlightlyAcute Obtuse (23) (iii) Add qualitative angles [ 6 ABD] and [ 6 DBC] with the QADD inference rules, namely, entries QADD[1; 2], QADD[1; 3], QADD[1; 4], and QADD[1; 5] of Table 2.”
BackgroundMethodPoint-Based Temporal Extensions of SQL and Their Efficient Implementation
Toman, D. (1997) · Temporal Databases, Dagstuhl · doi:10.1007/bfb0053704 · Cited by 49
“This is the main difference between our approach and approaches taken by various interval logics [2], where intervals represent points in a two-dimensional (half-)space.”
MethodResultOpen-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification
Li, S., Zhao, R., Zhao, R., Li, M.-L., Ji, H., Callison-Burch, C., & Han, J.-W. (2023) · Annual Meeting of the Association for Computational Linguistics · doi:10.48550/arxiv.2307.01972 · Cited by 48
“To solve this relation confusion problem, inspired by Allen interval algebra (Allen, 1983) and the neural-symbolic system in (Zhou et al., 2021), we decompose the decision of a temporal relation into questions about start time, end time, and duration.”
MethodTemporal Information Extraction by Predicting Relative Time-lines
Leeuwenberg, A., & Moens, M. (2018) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/d18-1155 · Cited by 38
“two approaches: (1) Reasoning directly with Allen’s interval relations (shown in Table 1), by constructing rules like: If event X occurs before Y, and event Y before Z then X should happen before Z (Allen, 1990).”
MethodConstrained multi-objective optimization for multi-UAV planning
Ramírez-Atencia, C., & Camacho, D. (2018) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-018-0930-0 · Cited by 48
“Depending on the nature of the time variables and the constraints used, BTR can be represented using different types of algebra, such as point algebra (PA), interval algebra (IA) or, the most known, Allen’s interval algebra (Allen 1983), in which the BTR is composed of the relations presented in Table 1.”
MethodMadkour, M., Benhaddou, D., & Tao, C. (2016) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2016.02.007 · Cited by 42
“Primitive of time Point Ideal for specifying accurate positions in time Scheduling, planning, temporal constraints and temporal relations are barely supported [7,8] Interval Ideal for representing coarse and incomplete temporal knowledge [9] Used by Allen’s temporal logic [10]”
BackgroundAutomatic case acquisition from texts for process-oriented case-based reasoning
Dufour-Lussier, V., Ber, F. L., Lieber, J., & Nauer, E. (2013) · Information Systems · doi:10.1016/j.is.2012.11.014 · Cited by 48
“Allen algebra [7, 8], for instance, provides 13 relations corresponding to all the possible order relations between the beginnings and the ends of two intervals.”
BackgroundA Hybrid Ontological and Temporal Approach for Composite Activity Modelling
Okeyo, G., Chen, L. L., Wang, H., & Sterritt, R. (2012) · 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications · doi:10.1109/trustcom.2012.34 · Cited by 48
“Essentially, the approach enhances ontology-based activity models with qualitative temporal information based on Allen’s temporal logic [7].”
BackgroundMethodAdaptation of service-based business processes by context-aware replanning
Bucchiarone, A., Pistore, M., Raik, H., & Kazhamiakin, R. (2011) · IEEE International Conference on Service-Oriented Computing and Applications · doi:10.1109/soca.2011.6166209 · Cited by 48
Spatio-temporal analysis of territorial changes from a multi-scale perspective
Plumejeaud, C., Mathian, H., Gensel, J., & Grasland, C. (2011) · International Journal of Geographical Information Science · doi:10.1080/13658816.2010.534658 · Cited by 48
“However, for the majority of models, time is seen as a continuous and linear line, consisting of points called ‘instants’, and identified by dates (Allen 1983).”
BackgroundTime-Oriented Question Answering from Clinical Narratives Using Semantic-Web Techniques
Tao, C., Solbrig, H. R., Sharma, D. K., Wei, W., Savova, G., & Chute, C. G. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-17749-1_16 · Cited by 41
“Both ontologies adopted Allen’s Interval Based Temporal Logic [1], which provides a foundation of temporal logic for many temporal models.”
MethodBurny, E., Valcke, M., & Desoete, A. (2009) · Educational Studies · doi:10.1080/03055690902879093 · Cited by 55
A global process to access documents' contents from a geographical point of view
Gaio, M., Sallaberry, C., Etcheverry, P., Marquesuzaà, C., & Lesbegueries, J. (2008) · Journal of Visual Languages and Computing · doi:10.1016/j.jvlc.2007.08.010 · Cited by 48
“algebraic intervals with a hierarchical relationship like Allen’s [22] interval, such a structure clearly appears in the expression ‘‘the first part of the XIXth Century’’; metric as in the expression ‘‘for 80 years’’; operation of sequencing as ‘‘in the next period’’.”
BackgroundIdentifying factors of geographic event conceptualisation
Klippel, A., Worboys, M., & Duckham, M. (2008) · International Journal of Geographical Information Science · doi:10.1080/13658810701405607 · Cited by 48
“A contrasting approach is the presumption of event boundaries, for example, on the basis of formal characterisations in artificial intelligence (Allen 1983) and qualitative spatial reasoning.”
BackgroundFSM-based model for spatio-temporal event recognition for HCS
Ahmed, W. M., Liu, J., Lenz, D., Ghafoor, A., & Robinson, J. P. (2007) · IEEE International Conference on Semantic Computing (ICSC) · doi:10.1109/icosc.2007.4338395 · Cited by 119
“An extension of temporal logic [10] to two and three dimensions is then used to describe the inter-object relationships, as described in [11].”
MethodEvent-based systems for detecting real-world states with sensor networks: a critical analysis
Römer, K., & Mattern, F. (2004) · Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. · doi:10.1109/issnip.2004.1417493 · Cited by 48
“Note that these predicates are conceptually similar to interval arithmetic [1], [24].”
BackgroundDubois, D., Prade, H., & Sèdes, F. (2001) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/69.929896 · Cited by 48
“Its advantage is being easily interfaced with a declarative symbolic representation based on a set of quantified Allen operators [ 3 ] together with a set of causal operators.”
BackgroundOn the Translation of Qualitative Spatial Reasoning Problems into Modal Logics
Nutt, W. (1999) · Deutsche Jahrestagung für Künstliche Intelligenz · doi:10.1007/3-540-48238-5_9 · Cited by 48
“Similar to Allen's calculus for temporal reasoning [1], which is based on 13 elementary relations that can hold between time intervals, in RCC8, there are eight elementary topological relations that can hold between regions.”
MethodNsync—a toolkit for building interactive multimedia presentations
Bailey, B. P., Konstan, J., Cooley, R., & Dejong, M. (1998) · MULTIMEDIA '98 · doi:10.1145/290747.290779 · Cited by 48
Modeling of video spatial relationships in an object database management system
Li, J.-Z., Özsu, T., & Szafron, D. (1996) · Proceedings of International Workshop on Multimedia Database Management Systems · doi:10.1109/mmdbms.1996.541863 · Cited by 48
“Allen [2] gives a temporal interval algebra (Table 1) for representing and reasoning about temporal relations between events represented as intervals.”
BackgroundInferences from Combined Knowledge about Topology and Directions
Sharma, J., & Flewelling, D. (1995) · International Multi-Conference on Systems, Signals & Devices · doi:10.1007/3-540-60159-7_17 · Cited by 48
“1 Mapping Topological Relations onto Allen's Intervals Topological relations between objects are mapped onto topological relations between MBRs, as was done by both Clementini et al. (1994) and Papadias et al.”
BackgroundMethodMining temporal interval relational rules from temporal data
Lee, Y., Lee, J. W., Chai, D., Hwang, B., & Ryu, K. (2009) · Journal of Systems and Software · doi:10.1016/j.jss.2008.07.037 · Cited by 48
“Allen (1983) introduced an algebra of temporal relations on intervals.”
BackgroundMethodInfluentialPalù, A. D., Dovier, A., & Pontelli, E. (2007) · Software, Practice & Experience · doi:10.1002/spe.810 · Cited by 48
“Reference [18] shows that the Face-Centered Cubic Lattice (F CC) model is a well-suited, realistic model for 3D conformations of proteins (see also References [10] [12] [13] [19]).”
MethodInfluentialSuchan, J., Bhatt, M., & Varadarajan, S. (2021) · Artificial Intelligence · doi:10.1016/j.artint.2021.103522 · Cited by 31
“For the running and demo examples of this paper, positional relations on axis-aligned rectangles based on the Rectangle Algebra (RA) [5] suffice; RA uses the relations of Interval Algebra (IA) [2] RIA ≡ {before, after, during, contains, starts, started by, finishes, finished by, overlaps, overlapped by, meets, met by,…”
A Model-Theoretic View on Qualitative Constraint Reasoning
Bodirsky, M., & Jonsson, P. (2017) · Journal of Artificial Intelligence Research · doi:10.1613/jair.5260 · Cited by 47
“5.2 Example I: Allen's Interval Algebra Recall the standard representation of Allen's Interval algebra over the rationals that we presented in Section 2.5.”
BackgroundInfluentialA foundational ontology-based model for human activity representation in smart homes
Ni, Q., de la Cruz, I. P., & Hernando, A. B. G. (2016) · Journal of Ambient Intelligence and Smart Environments · doi:10.3233/ais-150359 · Cited by 47
“Table 1 shows the detailed Allen’s temporal relations of activities [1], which position any pair of intervals by comparing their starting and ending time points to support qualitative temporal knowledge representation.”
Archaeology and contemporaneity
Lucas, G. (2015) · Archaeological Dialogues · doi:10.1017/s1380203815000021 · Cited by 54
Training for crisis decision making - An approach based on plan adaptation
Cesta, A., Cortellessa, G., & Benedictis, R. D. (2014) · Knowledge-Based Systems · doi:10.1016/j.knosys.2013.11.011 · Cited by 47
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
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review