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
Flagged first, then by citations
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 801–900 of 1,006
A Temporal-Probabilistic Database Model for Information Extraction
Dylla, M., Miliaraki, I., & Theobald, M. (2013) · Proceedings of the VLDB Endowment · doi:10.14778/2556549.2556564 · Cited by 47
“One of the most seminal works is constituted by Allen’s interval algebra [2] and has found many adoptions in the above fields [38].”
BackgroundInfluentialMonitoring and diagnostics of industrial systems using automation agents
Merdan, M., Vallée, M., Lepuschitz, W., & Zoitl, A. (2011) · doi:10.1080/00207543.2010.526368 · Cited by 47
“Expectations and observations are defined by the specification of a type (based on the classification of activity types) and timing, expressed using time intervals (Allen 1983).”
Preferences in Constraint Satisfaction and Optimization
Rossi, F., Venable, K., & Walsh, T. (2008) · The AI Magazine · doi:10.1609/aimag.v29i4.2202 · Cited by 47
“Several quantitative and qualitative constraint-based temporal formalisms have been proposed, stemming from pioneering works by Allen (Allen 1983) and by Dechter, Meiri, and Pearl (Dechter, Meiri, & Pearl 1991).”
MethodModeling Spatial Relationships within a Fuzzy Framework
Seale, M., & Petry, F. (1998) · Journal of the American Society for Information Science · doi:10.1002/(sici)1097-4571(199803)49:3%3c253::aid-asi6%3e3.0.co;2-f · Cited by 47
Later: Managing Temporal Information Efficiently
Brusoni, V., Console, L., Terenziani, P., & Pernid, B. (1997) · IEEE Expert · doi:10.1109/64.608197 · Cited by 47
An approach based on the concept of use case to produce dynamic object-oriented specifications
Dano, B., Briand, H., & Barbier, F. (1997) · Proceedings of ISRE '97: 3rd IEEE International Symposium on Requirements Engineering · doi:10.1109/isre.1997.566842 · Cited by 47
“Concurrently with the seven relations which can exist between two activities in [ 20 ], we define seven types of links between two use cases UCi and UCj (Table 1). The links introduced in our approach are different from those which have previously been defined in the sense that they are not established for the same pu…”
BackgroundTime synchronization and localization in sensor networks
Römer, K. (2005) · doi:10.3929/ethz-a-005061381 · Cited by 47
Project Scheduling with Time Windows
Dorndorf, U. (2002) · doi:10.1007/978-3-642-57506-8 · Cited by 47
Applying Constraints for Scheduling
Wallace, M. (1993) · NATO ASI CP · doi:10.1007/978-3-642-85983-0_7 · Cited by 47
The forms and meanings of grammatical markers support efficient communication
Mollica, F., Bacon, G., Zaslavsky, N., Xu, Y., Regier, T., & Kemp, C. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2025993118 · Cited by 42
Foundations of the Socio-physical Model of Activities (SOMA) for Autonomous Robotic Agents
Beßler, D., Porzel, R., Pomarlan, M., Vyas, A., Höffner, S., Beetz, M., Malaka, R., & Bateman, J. (2020) · Formal Ontology in Information Systems · doi:10.3233/faia210379 · Cited by 46
“Ordering constraints are expressible in SOMA through a sequence pattern based on Allen’s interval calculus [27].”
GoTree: A Grammar of Tree Visualizations
Li, G., Tian, M., Xu, Q., McGuffin, M. J., & Yuan, X.-R. (2020) · International Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376297 · Cited by 46
“Together with these parameters, the layout specifications can capture all possible Allen relations [3] for intervals.”
BackgroundA Survey of Modelling Trends in Temporal GIS
Siabato, W., Claramunt, C., Ilarri, S., & Callejo, M. Á. M. (2018) · ACM Computing Surveys · doi:10.1145/3141772 · Cited by 55
“Formal studies of the temporal aspects of both non-spatial and spatial systems can be found since the early 1980s (Allen 1983; Clifford and Warren 1983; Ariav 1986; Rolland et al. 1987; Snodgrass 1987; Armstrong 1988) (see Figure 1). Nonetheless, time as a research subject has been specifically studied long before in…”
BackgroundInfluentialRepresentation and discovery of building patterns: a three-level relational approach
Du, S., Shu, M., & Feng, C.-C. (2016) · International Journal of Geographical Information Science · doi:10.1080/13658816.2015.1108421 · Cited by 46
“The 13 interval relations (Allen, 1983). an object may have several or many di ff erent SBRs or main directions.”
BackgroundMethodTractability in constraint satisfaction problems: a survey
Carbonnel, C., & Cooper, M. C. (2015) · Constraints · doi:10.1007/s10601-015-9198-6 · Cited by 46
“Allen’s interval algebra consists of binary relations between intervals which are disjunctions of 13 basic interval relations (such as before, meets, includes, overlaps, starts, finishes or equals) [3].”
BackgroundChecking interval properties of computations
Molinari, A., Montanari, A., Murano, A., Perelli, G., & Peron, A. (2014) · Acta Informatica · doi:10.1007/s00236-015-0250-1 · Cited by 46
“HS features one modality for each of the 13 possible ordering relations between pairs of intervals (the so-called Allen’s relations [1]), apart from the equality relation.”
BackgroundThe Undecidability of the Logic of Subintervals
Marcinkowski, J., & Michaliszyn, J. (2014) · Fundamenta Informaticae · doi:10.3233/fi-2014-1011 · Cited by 46
“…with D and for the logic with ¯ D is that in linear discrete orders all intervals have either 0 or 2 subintervals with the maximal size, while an interval may have only one superinterval with the minimal size (e.g. over the naturals, the interval [1 , 5] has only one such superinterval — [1 , 6] ).”
InfluentialSymbolic User-Defined Periodicity in Temporal Relational Databases
Terenziani, P. (2003) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2003.1185847 · Cited by 46
“, 15Days of Months can be defined as “[1-5] / Days NSDur Months”) and”
BackgroundMethodInfluentialTractability Results in the Block Algebra
Balbiani, P., Condotta, J.-F., & del Cerro, L. F. (2002) · Journal of Logic and Computation · doi:10.1093/logcom/12.5.885 · Cited by 46
“Second, Allen defines the operations of converse and composition on : and Æ Æ and .”
BackgroundInfluentialMultiple selections in smart text editing
Miller, R., & Myers, B. (2002) · International Conference on Intelligent User Interfaces · doi:10.1145/502716.502734 · Cited by 46
“These relations between intervals in a string are very similar to Allen’s relations for intervals in time [1].”
ResultKnowledge-based predictive and reactive scheduling in industrial environments
Henning, G., & Cerdá, J. (2000) · doi:10.1016/s0098-1354(00)00589-5 · Cited by 46
Spatial and temporal content-based access to hypervideo databases
Jiang, H., & Elmagarmid, A. (1998) · The VLDB journal · doi:10.1007/s007780050066 · Cited by 46
“Multiple hot objects in a video sequence can have any one or more of the 13 temporal interval relations [3] based on their LTIs.”
BackgroundA Complete Classification of Tractability in Allen's Algebra Relative to Subsets of Basic Relations
Drakengren, T., & Jonsson, P. (1998) · Artificial Intelligence · doi:10.1016/s0004-3702(98)00093-9 · Cited by 46
“A Complete Classi cation ofTractability in Allen's AlgebraRelative to Subsets of Basic RelationsThomas Drakengren and Peter JonssonDepartment of Computer and Information ScienceLink oping University, S-581 83 Link oping, Swedenemail: fthodr, petejg@ida.liu.seSeptember 3, 1998AbstractWe characterise…”
BackgroundTwenty-One Large Tractable Subclasses of Allen's Algebra
Drakengren, T., & Jonsson, P. (1997) · Artificial Intelligence · doi:10.1016/s0004-3702(97)00021-0 · Cited by 46
“For specifying qualitative temporal information about relations between intervals, Allen's interval algebra [ 1] is often considered a convenient tool.”
MethodInterval Logics and Their Decision Procedures, Part I: An Interval Logic
Ramakrishna, Y., Melliar-Smith, P., Moser, L., Dillon, L. K., & Kutty, G. (1996) · Theoretical Computer Science · doi:10.1016/0304-3975(95)00254-5 · Cited by 46
“An alternative approach, developed by Allen [3], and by Halpern and Shoham [15], regards intervals as primitive.”
MethodMaintaining temporal consistency of multimedia documents using constraint networks
Layaida, N., & Sabry-Ismail, L. (1996) · Electronic imaging · doi:10.1117/12.235866 · Cited by 46
Learning to Plan in Continuous Domains
DeJong, G. (1994) · Artificial Intelligence · doi:10.1016/0004-3702(94)90038-8 · Cited by 46
The role of time in information processing
Bolour, A., Anderson, T. L., Dekeyser, L., & Wong, H. K. T. (1982) · ACM SIGMOD Record · doi:10.1145/984505.984508 · Cited by 102
Characterizing Attention Cascades in WhatsApp Groups
Caetano, J., Magno, G., Gonçalves, M. A., Almeida, J. M., Marques-Neto, H., & Almeida, V. A. F. (2019) · Web Science Conference · doi:10.1145/3292522.3326018 · Cited by 45
Discovering Multidimensional Motifs in Physiological Signals for Personalized Healthcare
Balasubramanian, A., Wang, J., & Prabhakaran, B. (2016) · IEEE Journal on Selected Topics in Signal Processing · doi:10.1109/jstsp.2016.2543679 · Cited by 45
“With regard to mining the temporal relations between patterns in multivariate data, Allen's interval algebra [1] is particularly useful in modeling sequence information.”
BackgroundA survey on temporal logics for specifying and verifying real-time systems
Konur, S. (2013) · Frontiers of Computer Science · doi:10.1007/s11704-013-2195-2 · Cited by 36
“We remark that Allen’s all relations [18] between two distinct intervals can be expressed by means of these modal operators.”
BackgroundImplementing a qualitative calculus to analyse moving point objects
Delafontaine, M., Cohn, A., & van de Weghe, N. (2011) · Expert systems with applications · doi:10.1016/j.eswa.2010.10.042 · Cited by 45
“In the past, several qualitative spatial and temporal calculi have been introduced, first and foremost as a reasoning tool: the Interval Algebra (Allen 1983), the Point Algebra (Vilain & Kautz 1986), the Cardinal Direction Calculus (Frank 1991), the Doublecross Calculus (Freksa 1992b), the Region Connection Calculus (…”
BackgroundMethodInfluentialTimeBank evolution as a community resource for TimeML parsing
Boguraev, B., Pustejovsky, J., Ando, R., & Verhagen, M. (2007) · Language Resources and Evaluation · doi:10.1007/s10579-007-9018-8 · Cited by 45
“The possible RELTYPE values for a TLINK are based on Allen’s thirteen relations (Allen 1983).”
MethodAiello, M., & van Benthem, J. (2002) · J. Appl. Non Class. Logics · doi:10.3166/jancl.12.319-363 · Cited by 45
Carlo, C., & Chittaro, L. (1999) · Artif. Intell. Medicine · doi:10.1016/s0933-3657(99)00022-6 · Cited by 45
“Considered temporal relations are starts, meets, during, o6erlaps, equal, finishes [2].”
BackgroundMethodRapid Application of Lightweight Formal Methods for Consistency Analysis
Feather, M. (1998) · IEEE Trans. Software Eng. · doi:10.1109/32.730544 · Cited by 45
“Indeed, what was needed was a combination of a vocabulary tailored for intervals [Allen 1983] (e.g., interval A should coiltai)l interval B), timing constraints [Lutz,& Wong 1992] (e.g., X must occur within 10 seconcls after a Y has occurred), etc. 5.”
BackgroundInfluentialZarri, G. (1998) · doi:10.1080/13600834.1998.9965792 · Cited by 45
“In these last years, the temporal knowledge representation scene has been dominated by the debate about the ‘Interval Algebra’ (IA) proposed by James Allen, (1981, 1983, 1984), for applications such as automated planning and plan synthesis .”
BackgroundMethodPoint-Based Temporal Extension of Temporal SQL
Toman, D. (1997) · International Conference on Deductive and Object-Oriented Databases · doi:10.1007/3-540-63792-3_11 · Cited by 45
“Note that most of the existing temporal query languages violate both of the above principles, mainly by introducing constructs for explicit manipulation of the actual timestamp representation: both ATSQL [5] and SQL/Temporal [18] use the BEGIN and END keywords to extract the endpoints of intervals, PERIOD keyword to c…”
BackgroundModeling video temporal relationships in an object database management system
Li, J. Z., Goralwalla, I. A., Ozsu, M. T., & Szafron, D. (1997) · Electronic imaging · doi:10.1117/12.264311 · Cited by 45
Extending Visual Languages for Multimedia
Chang, S.-K. (1996) · IEEE Multim. · doi:10.1109/93.556536 · Cited by 45
Keyser, V. D. (1995) · Ergonomics · doi:10.1080/00140139508925215 · Cited by 44
Toward a formal specification of multimedia synchronization scenarios
Sénac, P., Diaz, M., & de Saqui-Sannes, P. (1994) · doi:10.1007/bf02998492 · Cited by 45
Temporal Data Management Systems: A Comparative View
Maiocchi, R., & Pernici, B. (1991) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/69.109111 · Cited by 45
From information system requirements to designs: a mapping framework
Chung, L., Katalagarianos, P., Marakakis, M., Mertikas, M., Mylopoulos, J., & Vassiliou, Y. (1991) · Information Systems · doi:10.1016/0306-4379(91)90033-6 · Cited by 45
Synchronizing the presentation of multimedia objects-ODA extensions-
Hoepner, P. (1991) · SIGO · doi:10.1145/122594.122596 · Cited by 45
“Allen [10] defines thirteen temporal relations between two intervals of time.”
BackgroundKeravnou, E., & Washbrook, J. (1989) · Knowledge engineering review (Print) · doi:10.1017/s0269888900005038 · Cited by 45
“• Temporal and qualitative reasoning (Allen, 1983; Allen, 1984; Kowalski and Sergot, 1986; Kuipers, 1984; Kuipers, 1986; Kuipers, 1987; Shoham, 1987; Williams, 1986) are not supported.”
A visual language and interactive system for end-user development of internet of things ecosystems
Barricelli, B., & Valtolina, S. (2017) · Journal of Visual Languages and Computing · doi:10.1016/j.jvlc.2017.01.004 · Cited by 44
Hypervideos and Interactive Multimedia Presentations
Meixner, B. (2017) · ACM Computing Surveys · doi:10.1145/3038925 · Cited by 44
On redundant topological constraints
Li, S., Long, Z., Liu, W., Duckham, M., & Both, A. (2014) · Artificial Intelligence · doi:10.1016/j.artint.2015.03.010 · Cited by 44
“Some of these results (e.g., all results before Theorem 15) can also be applied to other qualitative calculi (like Inter-val Algebra (Allen 1983), Point Algebra (Vilain and Kautz 1986), and Cardinal Relation Algebra (Ligozat 1998)) immediately, but some others (including Proposition 19 and Theorem…”
ResultAlgebraic Properties of Qualitative Spatio-temporal Calculi
Dylla, F., Mossakowski, T., Schneider, T., & Wolter, D. (2013) · Conference On Spatial Information Theory · doi:10.1007/978-3-319-01790-7_28 · Cited by 44
“Domain #BR RM 9-Intersection [8] simple 2D regions 8 I [11, 15] Allen’s interval relations [1] intervals (order) 13 A [41] Block Algebra [2] n-dimensional blocks 13 A [2] Cardinal Dir.”
New trends in constraint satisfaction, planning, and scheduling: a survey
Barták, R., Salido, M. A., & Rossi, F. (2010) · Knowledge engineering review (Print) · doi:10.1017/s0269888910000202 · Cited by 44
“Several quantitative and qualitative constraint-based temporal formalisms have been proposed, stemming from pioneering works by Allen (1983) and by Dechter et al .”
MethodBehavior maps for online planning of obstacle negotiation and climbing on rough terrain
Dornhege, C., & Kleiner, A. (2007) · 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems · doi:10.1109/iros.2007.4399107 · Cited by 44
“…with a 3-DOF Inertial Measurement Unit (IMU) from Xsens, allowing drift-free measurements of the three Euler angles yaw, roll, and pitch, and two Hokuyo URG-X004 Laser Range Finders (LRFs), one for scan matching, and one for elevation mapping, which can be tilted in the pitch angle within 90◦.”
BackgroundMethodA general tableau method for propositional interval temporal logics: Theory and implementation
Goranko, V., Montanari, A., Sala, P., & Sciavicco, G. (2006) · Journal of Applied Logic · doi:10.1016/j.jal.2005.06.012 · Cited by 44
“The resulting labeled tableau systems capture the accessibility relation by means of labeled formulas, and they provide suitable notions of closed branches and tableaux.”
BackgroundPoint algebras for temporal reasoning: Algorithms and complexity
Broxvall, M., & Jönsson, P. (2003) · Artificial Intelligence · doi:10.1016/s0004-3702(03)00075-4 · Cited by 36
A visual language for querying spatio-temporal databases
Bonhomme, C., Trépied, C., Aufaure, M.-A., & Laurini, R. (1999) · ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems · doi:10.1145/320134.320144 · Cited by 44
“REFERENCES [1] J.F. Allen (1983) Maintaining Knowledge about Temporal Intervals, Communications of the ACM, Vol. 26, No. 11, pp 832-843.”
BackgroundZYX - A Semantic Model for Multimedia Documents and Presentations
Boll, S. C., & Klas, W. (1999) · DS-8 · doi:10.1007/978-0-387-35561-0_12 · Cited by 44
“Existing interval-based temporal models are mainly based on some or all of the 13 binary temporal relations between time intervals as defined by Allen (Allen, 1983).”
MethodWVTDB - A Semantic Content-Based Video Database System on the World Wide Web
Jiang, H., & Elmagarmid, A. (1998) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/69.738359 · Cited by 44
Hierarchical reasoning about direction relations
Papadias, D., Egenhofer, M., & Sharma, J. (1996) · ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems · doi:10.1145/258319.258348 · Cited by 44
“A number of path consistency algorithms have been proposed (Allen, 1983; Macworth and Freuder, 1985).”
BackgroundHIERARCHICAL ARC CONSISTENCY FOR DISJOINT REAL INTERVALS IN CONSTRAINT LOGIC PROGRAMMING
Sidebottom, G., & Havens, W. S. (1992) · International Conference on Climate Informatics · doi:10.1111/j.1467-8640.1992.tb00381.x · Cited by 44
“For instance, Figure 2 gives an Echidna program for scheduling tasks using some of the relations on temporal intervals described in ( Allen, 1983 ).”
MethodSystem complexity and integrated diagnostics
Simpson, W. R., & Sheppard, J. W. (1991) · IEEE Design & Test of Computers · doi:10.1109/54.84239 · Cited by 33
Learning from Demonstration and Case-Based Planning for Real-Time Strategy Games
Ontañón, S., Mishra, K., Sugandh, N., & Ram, A. (2008) · Soft Computing Applications in Industry · doi:10.1007/978-3-540-77465-5_15 · Cited by 44
“The kind of analysis required is a simplified version of the temporal reasoning framework presented by Allen (Allen 1983), where the 13 basic different temporal relations among events were identified.”
BackgroundMiller, R., Myers, B., & Garlan, D. (2002) · doi:10.21236/ada459021 · Cited by 44
Leeuwen, V. (1999) · doi:10.6100/ir524571 · Cited by 44
“Allen [1983] defines five relationships between a point and an interval: ahead, front-touch, in, back-touch, and behind.”
BackgroundMethodSpatial Reasoning Rules in Multimedia Management Systems
Li, J. Z., Özsu, M. T., & Szafron, D. (1996) · Conference on Multimedia Modeling · doi:10.7939/r32805314 · Cited by 44
GRSTAPS: Graphically Recursive Simultaneous Task Allocation, Planning, and Scheduling
Messing, A., Neville, G., Chernova, S., Hutchinson, S., & Ravichandar, H. (2021) · Int. J. Robotics Res. · doi:10.1177/02783649211052066 · Cited by 43
“A mutex constraint is a relationship between two tasks, a i and a j , that ensures that either a j must finish before a i starts or a i must finish before a j starts (Allen, 1983).”
BackgroundSTEVE: a Hypermedia Authoring Tool based on the Simple Interactive Multimedia Model
de Mattos, D. P., & Muchaluat-Saade, D. C. (2018) · ACM Symposium on Document Engineering · doi:10.1145/3209280.3209521 · Cited by 43
Probabilistic Complex Event Recognition
Alevizos, E., Skarlatidis, A., Artikis, A., & Paliouras, G. (2017) · ACM Computing Surveys · doi:10.1145/3117809 · Cited by 43
“Furthermore, events are related with temporal interval, logical, and spatial constraints [6].”
BackgroundMethodExtending the Kernel of a Relational DBMS with Comprehensive Support for Sequenced Temporal Queries
Dignös, A., Böhlen, M. H., Gamper, J., & Jensen, C. S. (2016) · ACM Transactions on Database Systems · doi:10.1145/2967608 · Cited by 43
“The earliest approach to add temporal support to relational query languages, such as SQL, was to introduce new data types with associated predicates and functions that were strongly influenced by Allen’s interval relationships [Allen 1983].”
BackgroundMeasures of transport mode segmentation of trajectories
Prelipcean, A. C., Gidófalvi, G., & Susilo, Y. (2016) · International Journal of Geographical Information Science · doi:10.1080/13658816.2015.1137297 · Cited by 43
“To do so, based on the visionary work of Allen (1983) who proposes 13 relationships between two intervals, the present work defines four relationships that are illustrated in Figure 2 and are suitable for the current setting as follows: (1) A direct match occurs when one inferred period is aligned…”
BackgroundMethodSemantic Event Fusion of Different Visual Modality Concepts for Activity Recognition
Crispim-Junior, C. F., Buso, V., Avgerinakis, K., Μεδίτσκος, Γ., Briassouli, A., Benois‐Pineau, J., Kompatsiaris, I. Y., & Brémond, F. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2537323 · Cited by 43
“Its processing pipeline is decomposed into people detection, tracking, and event recognition.”
BackgroundFoundations for Streaming Model Transformations by Complex Event Processing
Dávid, I., Ráth, I., & Varró, D. (2016) · Journal of Software and Systems Modeling · doi:10.1007/s10270-016-0533-1 · Cited by 43
Interval temporal logics over strongly discrete linear orders: Expressiveness and complexity
Bresolin, D., Monica, D. D., Montanari, A., Sala, P., & Sciavicco, G. (2014) · Theoretical Computer Science · doi:10.1016/j.tcs.2014.03.033 · Cited by 43
“Excluding equality, there are 12 different non-trivial relative position relations between pairs of intervals in a linear order, often called Allen’s relations [3]: the six relations depicted in Tab.”
BackgroundDecomposition and tractability in qualitative spatial and temporal reasoning
Huang, J., Li, J., & Renz, J. (2013) · Artificial Intelligence · doi:10.1016/j.artint.2012.09.009 · Cited by 43
“We show that these conditions are satisfied by a range of calculi including the Interval Algebra (IA), Rectangle Algebra (RA) and Block Algebra (BA) [3], and Region Connection Calculus RCC8 [4] and RCC5 [5], for all of which reasoning in general is known to be NP-hard [2,6].”
BackgroundInfluentialDetecting temporal expressions in medical narratives
Reeves, R., Ong, F. R., Matheny, M. E., Denny, J., Aronsky, D., Gobbel, G., Montella, D., Speroff, T., & Brown, S. H. (2013) · Int. J. Medical Informatics · doi:10.1016/j.ijmedinf.2012.04.006 · Cited by 43
“[46] J.”
SXPath - Extending XPath towards Spatial Querying on Web Documents
Oro, E., Ruffolo, M., & Staab, S. (2010) · Proceedings of the VLDB Endowment · doi:10.14778/1921071.1921079 · Cited by 43
“In contrast, the following query exploits SXPath that allows for extracting details of music bands by exploiting only the DOM nodes of type img and text , and their spatial relationships.”
Integrated semantic-syntactic video modeling for search and browsing
Ekin, A., Tekalp, A., & Mehrotra, R. (2004) · IEEE transactions on multimedia · doi:10.1109/tmm.2004.837238 · Cited by 43
“In our implementation of graph matching, we start the search from the vertices and find a set of matching vertices for each query vertex in each distinct database description.”
BackgroundMethodNetworks of probabilistic events in discrete time
Galán, S. F., & Díez, F. (2002) · International Journal of Approximate Reasoning · doi:10.1016/s0888-613x(02)00071-3 · Cited by 43
“5 0 0 0 b [1] 0.”
MethodInfluentialExploring dynamic Bayesian belief networks for intelligent fault management systems
Sterritt, R., Marshall, A., Shapcott, C. M., & McClean, S. (2000) · Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0 · doi:10.1109/icsmc.2000.886576 · Cited by 43
“However BBNs provide no direct mechanism for representing temporal dependencies [ 11 ,[2],[391.”
BackgroundThe Representation Race - Preprocessing for Handling Time Phenomena
Morik, K. (2000) · European Conference on Machine Learning · doi:10.1007/3-540-45164-1_2 · Cited by 43
“Time relations are the ones defined in Allen’s time calculus [4,5]: overlap, inclusion, (direct) precedence, .”
BackgroundAn extensible notation for spatiotemporal index queries
Tsotras, V., Jensen, C. S., & Snodgrass, R. (1998) · SGMD · doi:10.1145/273244.273258 · Cited by 43
TIEMPO: temporal modeling and authoring of interactive multimedia
Wahl, T., Wirag, S., & Rothermel, K. (1995) · Proceedings of the International Conference on Multimedia Computing and Systems · doi:10.1109/mmcs.1995.484933 · Cited by 43
“media items such as before, while, overlaps etc. [ Alle83 ], [WaRo94]. A summary of the”
BackgroundTopological Constraints: A Representational Framework For Approximate Spatial And Temporal Reasoning
Dutta, S. (1991) · International Multi-Conference on Systems, Signals & Devices · doi:10.1007/3-540-54414-3_37 · Cited by 43
“For example, the discussion of relationships between segments (section 3.2.3) can be seen to be an extension of crisp relationships proposed by Allen [ 1 ] others.”
BackgroundMethodInfluentialExploiting Temporal Knowledge to Organize Constraints.
Smith, S. F. (1983) · Defense Technical Information Center (DTIC) · doi:10.21236/ada133417 · Cited by 36
Mental Models in Spatial Reasoning
Knauff, M., Rauh, R., Schlieder, C., & Strube, G. (1998) · Spatial Cognition · doi:10.1007/3-540-69342-4_13 · Cited by 43
“Composition table for the 12 qualitative relations (omitting the trivial relation “=”) introduced by Allen (1983). (shaded cells = multiple model cases; white cells = single model cases) .”
BackgroundMethodInfluentialRieke, M., Bigagli, L., Herlé, S., Jirka, S., Kotsev, A., Liebig, T., Malewski, C., Paschke, T., & Stasch, C. (2018) · ISPRS Int. J. Geo Inf. · doi:10.3390/ijgi7100385 · Cited by 42
Liu, L., Wang, S., Su, G., Huang, Z.-G., & Liu, M. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2017.02.028 · Cited by 42
“Allen [1] formulated a set of 13 temporal relations that can hold between two primitive events, i.”
BackgroundA knee point based evolutionary multi-objective optimization for mission planning problems
Ramirez‐Atencia, C., Mostaghim, S., & Camacho, D. (2017) · Genetic and Evolutionary Computation Conference (GECCO) · doi:10.1145/3071178.3071319 · Cited by 45
“If we look at the results obtained from 4-objectives onwards, it can be observed that the loss of hypervolume is higher. is because of the forth objective (the number of UAVs) which is an integer variable in the range [ 1 , 5 ] .”
BackgroundMethodBhatt, M., & Wallgrün, J. O. (2014) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi3010166 · Cited by 3
“…models of spatial and temporal relations dealing with different aspects of space such topology, direction, distance, size , etc. QSTR has evolved as a specialised discipline within Artificial Intelligence [Allen, 1983, Bhatt et al., 2011a, Cohn and Renz, 2007, Freksa, 1991b, Renz and Nebel, 2007].”
BackgroundInfluentialSpatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions
Pillai, K. G., Angryk, R. A., Banda, J. M., Schuh, M. A., & Wylie, T. (2012) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw.2012.130 · Cited by 43
“Allen introduced interval based temporal logic in [3].”
BackgroundModeling and solving technical product configuration problems
Falkner, A., Haselböck, A., Schenner, G., & Schreiner, H. (2011) · Artificial intelligence for engineering design, analysis and manufacturing · doi:10.1017/s0890060410000570 · Cited by 42
“However, the wide industrial use of configuration technologies and the increasing size and complexity of configuration problems make the field more challenging than ever. Today the mass customization paradigm has been extended from traditional physical products to the fields of software and service configuration. Conf…”
BackgroundInfluentialLive editing of hypermedia documents
Costa, R. M. D. R., Moreno, M., Rodrigues, R., & Soares, L. F. (2006) · ACM Symposium on Document Engineering · doi:10.1145/1166160.1166202 · Cited by 42
Variations on an Ordering Theme with Constraints
Guttmann, W., & Maucher, M. (2006) · IFIP TCS · doi:10.1007/978-0-387-34735-6_10 · Cited by 42
“The algebraic treatment pursued in that area originates in qualitative temporal reasoning, notably with Allen’s interval algebra [10].”
BackgroundReasoning with Temporal Constraints in RDF
Hurtado, C. A., & Vaisman, A. (2006) · Principles and Practice of Semantic Web Reasoning · doi:10.1007/11853107_12 · Cited by 42
“Now, we can use the basic Allen’s interval relations [2] depicted in Figure 2 to place constraints over the anonymous intervals.”
BackgroundMethodInfluentialSpecial Issue: "Spatial and Visual Components in Mental Reasoning About Space" Editorial
Barkowsky, T., Freksa, C., & Knauff, M. (2005) · Spatial Cogn. Comput. · doi:10.1080/13875868.2005.9683799 · Cited by 42
A fuzzy sets theoretic approach to approximate spatial reasoning
Li, Y.-M., & Li, S. (2004) · IEEE transactions on fuzzy systems · doi:10.1109/tfuzz.2004.836100 · Cited by 42
“, [6], or some other domain which support the RCC5 and RCC8 CT (see [26]); on the other hand, this approach is applicable to other formal theories of binary relations, for example, the 13 interval relations given in [1] or the RCC11 theory developed in [13].”
MethodR-Histogram: quantitative representation of spatial relations for similarity-based image retrieval
Wang, Y.-H., & Makedon, F. (2003) · ACM Multimedia · doi:10.1145/957013.957082 · Cited by 42
“However, representing the spatial relations between objects is also an important component of image content description and access.”
BackgroundA Framework for Historical Case-Based Reasoning
Ma, J.-X., & Knight, B. (2003) · International Conference on Case-Based Reasoning · doi:10.1007/3-540-45006-8_21 · Cited by 42
“In addition, approaches like that of Allen [ 14 ] that treat intervals as primitive temporal elements can successfully overcome or bypass the DIP, which, as discussed [21], only arises when one insists on the existence of time points.”
BackgroundMethodInfluentialDecidability of Interval Temporal Logics over Split-Frames via Granularity
Montanari, A., Sciavicco, G., & Vitacolonna, N. (2002) · European Conference on Logics in Artificial Intelligence · doi:10.1007/3-540-45757-7_22 · Cited by 42
“Allen’s relations can be first-order defined using < and ≺ [1].”
BackgroundSummarizing Multilingual Spoken Negotiation Dialogues
Reithinger, N., Kipp, M., Engel, R., & Alexandersson, J. (2000) · Annual Meeting of the Association for Computational Linguistics · doi:10.3115/1075218.1075258 · Cited by 42
A model for a causal logic for requirements engineering
Moffett, J., Hall, J., Coombes, A., & Mcdermid, J. (1996) · Requirements Engineering · doi:10.1007/bf01235764 · Cited by 42
“Allen [ 26 ] defines 13 possible relationships between intervals, and this may be an indication of the order of magnitude of the number of types of causal expression that is required.”
Background
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