Ontology-Based Context Event Representation, Reasoning, and Enhancing in Academic Environments
Josué Padilla-Cuevas,
José A. Reyes-Ortiz and
Maricela Bravo
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Josué Padilla-Cuevas: Departamento de Sistemas, Universidad Autónoma Metropolitana, Azcapotzalco 02200, Mexico
José A. Reyes-Ortiz: Departamento de Sistemas, Universidad Autónoma Metropolitana, Azcapotzalco 02200, Mexico
Maricela Bravo: Departamento de Sistemas, Universidad Autónoma Metropolitana, Azcapotzalco 02200, Mexico
Future Internet, 2021, vol. 13, issue 6, 1-18
Abstract:
An Ambient Intelligence responds to user requests based on several contexts. A relevant context is related to what has happened in the ambient; therefore, it focuses a primordial interest on events. These involve information about time, space, or people, which is significant for modeling the context. In this paper, we propose an event-driven approach for context representation based on an ontological model. This approach is extendable and adaptable for academic domains. Moreover, the ontological model to be proposed is used in reasoning and enrichment processes with the context event information. Our event-driven approach considers five contexts as a modular perspective in the model: Person, temporal (time), physical space (location), network (resources to acquire data from the ambient), and academic events. We carried out an evaluation process for the approach based on an ontological model focused on (a) the extensibility and adaptability of use case scenarios for events in an academic environment, (b) the level of reasoning by using competence questions related to events, (c) and the consistency and coherence in the proposed model. The evaluation process shows promising results for our event-driven approach for context representation based on the ontological model.
Keywords: knowledge engineering; event-driven representation; ontology model; context reasoning; event enhancing (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:13:y:2021:i:6:p:151-:d:572396
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