PaperTime-dependent concepts: representation and reasoning using temporal description logics
References (41)
- et al.
Strips: a new approach to the application of theorem proving to problem solving
Artificial Intelligence
(1971) Terminological reasoning is inherently intractable
Artificial Intelligence
(1990)- et al.
Attribute concept descriptions with complements
Artificial Intelligence
(February 1991) - et al.
The KL-ONE family
Computer and Mathematics with Applications, special issue: Semantic Networks in Artificial Intelligence
(1992) Maintaining knowledge about temporal intervals
Communications of the ACM
(November 1983)Planning as temporal reasoning
- et al.
Homogeneous concepts in a temporal description logic
- et al.
A computational account for a description logic of time and action
- et al.
Terminological Logics with Modal Operators
- et al.
Using subsumption in semantic query optimization
On taxonomic reasoning in conceptual design
ACM Transactions on Database Systems
The integration of heterogeneous data management systems: Approaches based on the object-oriented paradigm
Taxonomic reasoning on temporal descriptions
Estensioni temporali dei linguaggi terminologici
A family of temporal terminological logics
A formalization of interval-based temporal subsumption in first order logic
Testing Complex Temporal Relationships Involving Multiple Granularities and Its Application to Data Mining
Descriptions logics in data management
IEEE Transactions on Knowledge and Data Engineering
CLASSIC: A structural data model for objects
ACM SIGMOD RECORD
The tractability of subsumption in frame-based description languages
Cited by (25)
On coarser interval temporal logics
2019, Artificial IntelligenceCitation Excerpt :ITLs have been applied in several fields such as hardware and real-time system verification, language processing, constraint satisfaction and planning [38,2,21,40]. Moreover, due to the fact that temporal logics are considered as the natural basis for temporal extensions of Description Logics [6], several attempts have been made to design interval-based extensions of such formalisms [41,10,5,4]. ITLs can be also considered as the temporal counterpart of TSQL, that is, the temporal extension to the language SQL for databases, included in the standard SQL:2011 [45].
Chapter 20 Time in qualitative simulation
2005, Foundations of Artificial Intelligenceε-connections of abstract description systems
2004, Artificial IntelligenceCombining interval-based temporal reasoning with general TBoxes
2004, Artificial IntelligenceDynamic rule refinement in knowledge-based data mining systems
2001, Decision Support SystemsCitation Excerpt :Data mining is defined as the nontrivial extraction of implicit, previously unknown, and potentially useful information from data [13]. Specific methods used in data mining applications include statistical pattern recognition (e.g., Refs. [14,16,18]), association rules (e.g., Refs. [1,2,7,37]), recognizing sequential or temporal (time series) patterns (e.g., Refs. [4,5,22]), clustering or segmentation, (e.g., Ref. [12]), data visualization (e.g., Refs. [21,24,35]), and classification (e.g., Refs. [3,9,20]). A typical example application for association rules is market basket analysis.
Design ontology in context - A situated cognition approach to conceptual modelling
2001, Artificial Intelligence in Engineering