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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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“It also supports all temporal relations defined by Allen [2].”
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“(1994) introduce fuzzy Allen relations as fuzzy sets of ordinary Allen relations agreeing with a neighborhood structure. Fuzzy sets which play a key role in modeling flexible constraints, have been used in several constraint-based approaches to temporal reasoning. Qian and Lu (1989) propose several propagation strateg…”
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“For this reason, we use them in this paper.”
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“They are used to filter the query results with spatial and temporal constraints (OGC Simple Feature Access topological relations and distance for the spatial part, and Allen’s interval relations [3] for the temporal part).”
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“Allen’s [Allen, 1983] relations can be easily represented within Rit’s two-dimensional visualization of time intervals.”
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Vashishtha, S., Durme, B. V., & White, A. (2019) · Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/p19-1280 · Cited by 71
“Like standard approaches using the TimeML standard, we draw inspiration from Allen’s (1983) seminal work on interval representations of time.”
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“The field of Qualitative Spatial and Temporal Representation and Reasoning (QSTR) has evolved as a specialised discipline within Artificial Intelligence (Allen, 1983; Freksa, 1991; van Beek, 1992; Ladkin & Maddux, 1994; Cohn & Renz, 2007; Renz & Nebel, 2007).”
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“The interval relations of Table 1 on the preceding page generate an integral RAI with 13 atoms on the set of all closed intervals of the real line, namely, the six relations in the table, their converses, and the identity; its composition table can be found in Allen (1983).”
BackgroundMethodBacchus, F., Tenenberg, J., & Koomen, J. A. G. M. (1989) · Artificial Intelligence · doi:10.1016/0004-3702(91)90025-f · Cited by 71
“10Ladkin [19] uses a similar approach to map Allen’s interval calculus [20] to the language of rational numbers.”
MethodAbstract Reasoning for Planning and Coordination
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“So, subplans is a set of plans, and a primitive plan's subplans is the empty set. order(p) is only defined for an and plan p and is a consistent set of temporal relations (Allen, 1983) over pairs of subplans.”
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“Geographic Information Science, in particular, has been the field in which most QSTR models have been applied, for example, Allen’s Temporal Interval Relations calculus (Allen 1983), Region Connection Calculus (RCC) (Randell, Cui, and Cohn 1992), 9-Intersection model (Egenhofer 1995), etc.”
MethodOntology-Mediated Query Answering over Temporal Data: A Survey (Invited Talk)
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“In our work, the Allen algebra, illustrated in the Table 2, is used (Allen, 1983).”
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“Allen’s temporal operators [4, 5] can be used to describe relationships between situations.”
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“This leads to a kind of 2-D extension of Allen’s interval logic [ 2 ], with 13 exclusive ordering conditions on each axis.”
BackgroundSignature file as a spatial filter for iconic image database
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A software process data model for knowledge engineering in information systems
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“A question can be decomposed as general sub-question and a temporal sub-question with a SINGAN, and Allen introduced 13 temporal SIGNAL [46] (such as before, during, last, etc.”
BackgroundInfluentialFormal Object-Oriented Development
Lano, K. (1995) · Formal Approaches to Computing and Information Technology FACIT · doi:10.1007/978-1-4471-3073-4 · Cited by 70
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“Most work in this area is based on the concept of temporal logic proposed by Allen [2], which introduces 13 unique operators that describe temporal relationships between intervals.”
BackgroundMaximal Decidable Fragments of Halpern and Shoham's Modal Logic of Intervals
Montanari, A., Puppis, G., & Sala, P. (2010) · International Colloquium on Automata, Languages and Programming · doi:10.1007/978-3-642-14162-1_29 · Cited by 69
“HS makes it possible to express all basic binary relations that may hold between any pair of intervals (the so-called Allen’s relations [1]) by means of four unary modalities, namely, ⟨B⟩, ⟨E⟩ and their transposes ⟨B̄⟩, ⟨Ē⟩, corresponding to Allen’s relations “begun by”, “ended by” and their inverses “begins”, “ends”,…”
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Chung, L. (1991) · International Conference on Advanced Information Systems Engineering · doi:10.1007/3-540-54059-8_78 · Cited by 69
“Time intervals can be related to each other in a knowledge base through temporal relations such as before, during, and overlaps Allen83].”
BackgroundMalinowski, E., & Zimányi, E. (2008) · Data & Knowledge Engineering · doi:10.1016/j.datak.2007.06.020 · Cited by 69
“Further, it is necessary to impose a constraint such that the minimum and the maximum values of the lifespan cardinality are equal to or greater than the minimum and maximum values of the snapshot cardinalities, respectively.”
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Garousi, V., Briand, L., & Labiche, Y. (2006) · International Conference on Software Engineering · doi:10.1145/1134285.1134340 · Cited by 68
“A specific flavor of temporal logic [1] was used to model temporal constraints.”
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“Allen’s interval ( Allen, 1983 ), so their merge returns a new interval, which is the union of”
BackgroundA Modular Approach to Programming Distributed Real-Time Systems
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“These same concerns arise in computer science [11, 30] and engineering because of the need for synchronization among di erent computational units.”
BackgroundComposing Synchronization and Real-Time Constraints
Bergmans, L., & Aksit, M. (1995) · J. Parallel Distributed Comput. · doi:10.1006/jpdc.1996.0088 · Cited by 68
“The reader can refer to [9] and [19] to obtain more information about real-time specification techniques.”
BackgroundUsing temporal hierarchies to efficiently maintain large temporal databases
Dean, T. (1989) · JACM · doi:10.1145/76359.76360 · Cited by 68
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Yildirim, Y., Yazıcı, A., & Yilmaz, T. (2013) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2011.189 · Cited by 68
“Allen’s temporal relationships [24] are used to express parallelism and mutual exclusion between components”
BackgroundMethodSTEP: a Scripting Language for Embodied Agents
Huang, Z.-S., Eliëns, A., & Visser, C. T. (2004) · Life-like characters · doi:10.1007/978-3-662-08373-4_5 · Cited by 68
“As discussed in [1, 2], there are 13 possible temporal relations between two actions, that is, before, meets, overlaps, starts, during, finishes, equals, and their inverse relations.”
BackgroundAdvances in Spatial Data Handling
Richardson, D., & van Oosterom, P. V. (2002) · Springer Berlin Heidelberg · doi:10.1007/978-3-642-56094-1 · Cited by 68
Llorens, H., Chambers, N., UzZaman, N., Mostafazadeh, N., Allen, J. F., & Pustejovsky, J. (2015) · International Workshop on Semantic Evaluation · doi:10.18653/v1/s15-2134 · Cited by 67
“Here we re-use TempEval-3 task ABC, where systems are required to perform end-to-end TimeML annotation from plain text, including the complete set of temporal relations (Allen, 1983).”
MethodSelf-citationFramework for Airspace Planning and Design Based on Conflict Risk Assessment
Netjasov, F. (2012) · doi:10.1016/j.trc.2012.03.002 · Cited by 67
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Pustejovsky, J., & Verhagen, M. (2009) · SEW@NAACL-HLT · doi:10.3115/1621969.1621989 · Cited by 67
“The complete TimeML specification assumes the temporal interval relations as defined by Allen (Allen, 1983) in Figure 1.”
Metric details of topological line–line relations
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“Schlieder ( 1995 ) developed a calculus that resulted in a set of 14 spatial relations among ordered linear segments, based on an extension of Allen's ( 1983 ) interval relations to two‐dimensional space and the order information of triples of points, where points are the vertices of the segments.”
BackgroundVerification of temporal scheduling constraints in clinical practice guidelines
Duftschmid, G., Miksch, S., & Gall, W. (2002) · Artif. Intell. Medicine · doi:10.1016/s0933-3657(02)00011-8 · Cited by 67
“• Qualitative constraints: Allen’s interval algebra [2] and Vilain and Kautz’s point algebra [34] are two fundamental representatives.”
BackgroundCREWS-SAVRE: systematic scenario generation and use
Maiden, N., Minocha, S., Manning, K., & Ryan, M. (1998) · IEEE International Requirements Engineering Conference · doi:10.1109/icre.1998.667820 · Cited by 67
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“Currently only temporal constraints are explicitly represented, by using qualitative relations based on Allen’s interval algebra [1] and simple quantitative information.”
BackgroundMethodInfluentialKameyama, M., Passonneau, R., & Poesio, M. (1993) · Annual Meeting of the Association for Computational Linguistics · doi:10.3115/981574.981584 · Cited by 67
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“In this paper, we adopt Allen's [2] interval algebra framework for representing hierarchical and possibly inde nite and incomplete temporal information about the relations between events or intervals of time.”
BackgroundMethodInfluentialQualitative Simulation Modeling and Analysis
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“Considering two upper-bound constraints U1 and U2 where U1 is between ai1 and aj1 , and U2 is between ai2 and aj2 , based on Allen’s temporal interval logic [Allen 1983; Chinn and Madey 2000], we can conclude that there are two groups of basic relationships between U1 and U2.”
BackgroundFuzzy branching temporal logic
Moon, S.-I., Lee, K.-H., & Lee, D. (2004) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2003.819485 · Cited by 66
“For example, Allen used an interval representation [4], Dutta added fuzzy membership values to interval calculus [5], and Dubois used generic fuzzy numbers [6].”
BackgroundMethodBrodeur, J., Bédard, Y., Edwards, G., & Moulin, B. (2003) · Trans. GIS · doi:10.1111/1467-9671.00143 · Cited by 66
“According to this approach, work is currently underway to develop a methodology and a computational model of geosemantic proximity that will end up with geosemantic proximity predicates that are homomorphic with current spatial and temporal topological predicates ( Allen 1983, Egenhofer 1993, Clementini and Di Felice…”
BackgroundMethodInfluentialAutomated test case generation for the stress testing of multimedia systems
Zhang, J., & Cheung, S.-C. (2002) · Software, Practice & Experience · doi:10.1002/spe.487 · Cited by 66
“Allen’s interval temporal logic [25] may also be extended to describe the temporal relationships among multimedia data [26].”
BackgroundQualitative Reasoning: A Survey of Techniques Applications
Dague, P. (1995) · AI Communications · doi:10.3233/aic-1995-83-401 · Cited by 66
Automatic deduction of temporal information
Maiocchi, R., Pernici, B., & Barbic, F. (1992) · International Workshop on the Deductive Approach to Information Systems and Databases · doi:10.1145/146931.146934 · Cited by 66
“The problem of automatically preserving the consistency of a set of temporal assertions has been considered by Allen [ 1 ] and by Barbie and Maiocchi [7].”
BackgroundMethodInfluentialMiller, D. P. (1986) · Online World Conference on Soft Computing in Industrial Applications · doi:10.1145/318242.318472 · Cited by 66
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“If Allen’s temporal relations between intervals [3] are used, this set is defined as op ∈ {<, =, >, d, di, o, oi, m, mi, s, si, f, fi}.”
MethodIssues on the representation of time and structure in music
Honing, H. (1993) · doi:10.1080/07494469300640461 · Cited by 66
“In a "bars' structure, if one bar becomes longer, the other one has to become shorter: they have to satisfy the meet constraint (using Allen's (1983) terminology).”
BackgroundInfluentialAbstraction in Artificial Intelligence and Complex Systems
Saitta, L., & Zucker, J.-D. (2013) · doi:10.1007/978-1-4614-7052-6 · Cited by 65
“Finally we should mention that when the feature to discretize is either time or space (the term aggregation is also used), dedicated approaches have been developed [8, 575].”
MethodA Formal Theory of Commonsense Psychology
Gordon, A. S., & Hobbs, J. R. (2017) · Cambridge University Press eBooks · doi:10.1017/9781316584705 · Cited by 73
Data Models and Query Languages for Linked Geospatial Data
Koubarakis, M., Karpathiotakis, M., Kyzirakos, K., Nikolaou, C., & Sioutis, M. (2012) · Reasoning Web · doi:10.1007/978-3-642-33158-9_8 · Cited by 65
“These filters are used to filter the results with spatial and temporal constraints (OGC Simple Feature Access topological relations and distance for the spatial part, and Allen’s interval calculus [6] for the temporal part).”
MethodRepresenting moving objects in computer-based expert systems: the overtake event example
van de Weghe, N., Cohn, A., de Maeyer, P., & Witlox, F. (2005) · Expert systems with applications · doi:10.1016/j.eswa.2005.06.022 · Cited by 65
“Temporal calculi have been proposed, such as the Interval Calculus (Allen, 1983) and the Semi-Interval Calculus (Freksa, 1992a).”
BackgroundTemporal representation and reasoning in artificial intelligence: A review
Pani, A. K., & Bhattacharjee, G. P. (2001) · Mathematical and Computer Modelling · doi:10.1016/s0895-7177(01)00049-8 · Cited by 65
Probabilistic temporal networks: A unified framework for reasoning with time and uncertainty
Santos, E. S., & Young, J. D. (1999) · International Journal of Approximate Reasoning · doi:10.1016/s0888-613x(99)00009-2 · Cited by 65
Algorithms for Hierarchical Spatial Reasoning
Papadias, D., & Egenhofer, M. (1997) · GeoInformatica · doi:10.1023/a:1009760430440 · Cited by 65
“A number of path consistency algorithms have been proposed (Allen, 1983; Macworth and Freuder, 1985).”
BackgroundInfluential2D Projection Interval Relationships: A Symbolic Representation of Spatial Relationships
Nabil, M., Shepherd, J. A., & Ngu, A. (1995) · International Multi-Conference on Systems, Signals & Devices · doi:10.1007/3-540-60159-7_18 · Cited by 65
“It is inspired by Allen's and Chang's work in [1] and [2].”
MethodMarcus, S., & Subrahmanian, V. (1993) · Springer US · doi:10.1007/978-1-4613-0463-0 · Cited by 65
“Due to this independence, the database system can physically organize the data for best performance without worrying about influencing the client's view of the data [1].”
InfluentialScheduling of bandwidth-constrained multimedia traffic
Little, T., & Ghafoor, A. (1991) · Computer Communications · doi:10.1016/0140-3664(92)90013-5 · Cited by 65
“1 Temporal Models A common representation for the temporal component of time-dependent data is based on temporal intervals [12, 23, 24] in what is called temporal-interval-based (TIB) modeling.”
BackgroundDo we need to handle every temporal violation in scientific workflow systems?
Liu, X., Yang, Y., Yuan, D., & Chen, J.-J. (2014) · TSEM · doi:10.1145/2559938 · Cited by 64
Cascading spatio-temporal pattern discovery: A summary of results
Mohan, P., Shekhar, S., Shine, J. A., & Rogers, J. P. (2010) · SIAM International Conference on Data Mining · doi:10.1137/1.9781611972801.29 · Cited by 32
“, time intervals [11, 4]).”
Garousi, V., Briand, L., & Labiche, Y. (2008) · Journal of Systems and Software · doi:10.1016/j.jss.2007.05.037 · Cited by 64
“A specific flavor of temporal logic (Allen, 1983) was used to model temporal constraints. The following are some of the limitations of their technique: (1) it cannot be easily generalized to generate test cases to stress test other kinds of resources, such as network traffic, as this would require important changes in…”
MethodInfluentialLearning Relational Event Models from Video
Dubba, K. S. R., Cohn, A. G., Hogg, D., Bhatt, M., & Dylla, F. (2015) · Journal of Artificial Intelligence Research · doi:10.1613/jair.4395 · Cited by 51
“Note that in this work, α can only take values from the set of 13 Allen's base relations (Allen, 1983) i.e.”
BackgroundThe Synthetic Biology Open Language (SBOL) Version 3: Simplified Data Exchange for Bioengineering
McLaughlin, J. A., Beal, J., Mısırlı, G., Grünberg, R., Bartley, B., Scott-Brown, J., Vaidyanathan, P., Fontanarrosa, P., Oberortner, E., Wipat, A., et al. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.01009 · Cited by 69
“…positions in a sequence— precedes , sameOrientationAs , and oppositeOrientationAs — are expanded with additional restrictions that cover the full range of sequential relationships (Allen, 1983): strictlyPrecedes , meets , overlaps , contains , strictlyContains , equals , finishes , and starts .”
BackgroundTemporal representation and reasoning in OWL 2
Batsakis, S., Petrakis, E. G. M., Tachmazidis, I., & Antoniou, G. (2016) · Semantic Web · doi:10.3233/sw-160248 · Cited by 66
“Compositions of basic (non-disjunctive) relations are defined at [1].”
BackgroundMethodInfluentialCordies: expressive event correlation in distributed systems
Koch, G. G., Koldehofe, B., & Rothermel, K. (2010) · Distributed Event-Based Systems · doi:10.1145/1827418.1827424 · Cited by 63
Bresolin, D., Monica, D. D., Goranko, V., Montanari, A., & Sciavicco, G. (2008) · Logic Programming and Automated Reasoning · doi:10.1007/978-3-540-89439-1_41 · Cited by 63
“In [15], Halpern and Shoham introduce a modal logic for reasoning about interval structures, called HS, with modal operators corresponding to Allen's interval relations.”
BackgroundInfluentialModal Logics of Topological Relations
Lutz, C., & Wolter, F. (2006) · Log. Methods Comput. Sci. · doi:10.2168/lmcs-2(2:5)2006 · Cited by 63
Balbiani, P., & Condotta, J.-F. (2002) · International Symposium on Frontiers of Combining Systems · doi:10.1007/3-540-45988-x_13 · Cited by 63
“In the majority of cases,including the models introduced by Allen [ 1 ],Balbiani and Condotta [2],Balbiani,Condotta and Fari˜ nas del Cerro [3],Cristani [7],Ligozat [11],Ligozat [12] and Vilain and Kautz [19]:”
InfluentialLooking for errors of omission and commission or The Hunting of the Snark revisited
Hollnagel, E. (2000) · Reliability Engineering & System Safety · doi:10.1016/s0951-8320(00)00004-1 · Cited by 63
Step by step – Building representations in algebraic logic
Hirsch, R., & Hodkinson, I. (1997) · Journal of Symbolic Logic (JSL) · doi:10.2307/2275740 · Cited by 63
“The Lrformula ANet(xy : i, j e A) is defined to be /\{xu < Id) A f\ (xij;xjk > Xjk). i€A i,j,keA Roughly, this formula means that the graph formed by the variables xy is an atomic network.”
BackgroundA co-synthesis approach to embedded system design automation
Gupta, R. K., & Micheli, G. D. (1996) · Design automation for embedded systems · doi:10.1007/bf00134684 · Cited by 63
“We note that operation delay constraints are general and can be used to capture durational and deadline constraints in specifying real-time systems [14] and all possible binary timing relationships between operations [15] as shown in Figure 7.”
MethodEnvisioning the qualitative effects of robot manipulation actions using simulation-based projections
Kunze, L., & Beetz, M. (2015) · Artificial Intelligence · doi:10.1016/j.artint.2014.12.004 · Cited by 63
“Angle 0.1 0.3 0.4 0.5 0.7 0.9 Outcome ok ok ok fail fail fail 13 possible temporal relations between time intervals can be used to constrain the query (Allen, 1983).”
BackgroundMethodInfluentialAlgebras of Ontology Alignment Relations
Euzenat, J. (2008) · International Workshop on the Semantic Web · doi:10.1007/978-3-540-88564-1_25 · Cited by 62
“Though the authors do not consider algebras of relations, this work suggests to use them, since Allen’s constraint propagation algorithm [1] is an instance of a constraint propagation algorithm (which can be generalised as arc-consistency).”
BackgroundMethodConstraint optimization coordination architecture for search and rescue robotics
Koes, M., Nourbakhsh, I., & Sycara, K. (2006) · Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006. · doi:10.1109/robot.2006.1642312 · Cited by 62
“Following a natural or man made disaster, rescue workers risk their lives searching for survivors in a race against time.”
BackgroundVisualization methods for data analysis and planning in medical applications
Kosara, R., & Miksch, S. (2002) · Int. J. Medical Informatics · doi:10.1016/s1386-5056(02)00072-2 · Cited by 62
A model for multimodal reference resolution
Pineda, L., & Garza, G. (2000) · International Conference on Computational Logic · doi:10.1162/089120100561665 · Cited by 62
“Temporal predicates and operators of this language would be interpreted in terms of arithmetic functions like those presented, for instance, in Allen’s temporal logic (Allen, 1983).”
BackgroundA Spatial Model Based on the Notions of Spatial Conceptual Map and of Object's Influence Areas
Kettani, D., & Moulin, B. (1999) · Conference On Spatial Information Theory · doi:10.1007/3-540-48384-5_26 · Cited by 62
On the Computational Complexity of Temporal Projection, Planning, and Plan Validation
Nebel, B., & Bäckström, C. (1994) · Artificial Intelligence · doi:10.1016/0004-3702(94)90005-1 · Cited by 62
“In the area of reasoning about temporal relations between events [2], it was possible to identify tractable special cases that are natural for uncertain observations and text understanding [30, 34].”
BackgroundSpike: AI scheduling for NASA's Hubble Space Telescope
Johnston, M. D. (1990) · Sixth Conference on Artificial Intelligence for Applications · doi:10.1109/caia.1990.89188 · Cited by 62
Automated formalization of structured natural language requirements
Giannakopoulou, D., Pressburger, T., Mavridou, A., & Schumann, J. (2021) · Information and Software Technology · doi:10.1016/j.infsof.2021.106590 · Cited by 61
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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