Ontology-based representation and reasoning about precise and imprecise temporal data: A fuzzy-based view

Engineering uncertain time for its practical integration in ontologies

“…Ghorbel et al [27] affirm there is no DL compatible approach devoted to handling uncertain temporal data in ontologies. Their study (TimeOnto) tried to cover this lack using a fuzzy-based strategy for representing and reasoning about uncertain time intervals.…”

“…Journal Pre-proof Thus, these relations do not consider the relative distance between time instances (example in Section 5.3) as part of their semantics. Apart from that, both approaches [27,28] rely on the 4D-Fluents model, which increases the complexity of the ontology because each non-temporal entity must have its related temporal class.…”

“…Main feature Main limitation [15,16,17] Based on features of specific domains Hard to use in other domains [18] Current standard for time representation Cannot represent properties of objects changing in time [19,20,21] Strong background formalism and expressiveness Standard languages and tools are no longer appropriate [22,23] Rely on the Fuzzy Theory Set formalism Standard languages and tools are no longer appropriate [24,25] Follow the principles of DL formalism Data redundance and focus on precise time [27] Covers both precise and uncertain temporal relations Does not cover uncertainty on existence of temporal relations [28] Covers uncertainty on existence of temporal relations Uncertainty semantics based only on time point probabilities This study Well-defined semantics for uncertain relations Semantics does not cover some uncertain terms (Section 6.5)…”

$\tau\text{JOWL}$: A Systematic Approach to Build and Evolve a Temporal OWL 2 Ontology Based on Temporal JSON Big Data

“…Moreover, the OWL 2 ontologies are stored and managed in JOWL as in our previous temporal ontology OWL framework [36,37] . Notice that (temporal) reasoning [38][39][40][41][42] , which can be part of some AI-based data analytics or data valorization task, can be easily done on temporal OWL 2 ontologies managed in our framework, through the use of suitable tools. This issue is beyond the scope of this paper.…”

Динамические Отношения В Задачах Обработки Знаний

“…Такой выбор связан с их важностью, с актуальностью цифровизации этих систем, с опытом исследований по этой теме, с наличием необходимых сведений о функционировании таких систем. В разделе 3 демонстрируются приложения, показывающие многообразие возможных применений операций алгебры циклограмм [14][15][16][17][18].…”