Ontology for Academic Context Reasoning | Zendy

Maricela Bravo | Zendy; José A. ReyesOrtiz | Zendy; Isabel Cruz-Ruiz | Zendy; Ariadna Gutiérrez-Rosales | Zendy; Josué Padilla-Cuevas | Zendy

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Ontology for Academic Context Reasoning

Author(s) -

Maricela Bravo,

José A. ReyesOrtiz,

Isabel Cruz-Ruiz,

Ariadna Gutiérrez-Rosales,

Josué Padilla-Cuevas

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.10.165

Subject(s) - ontology , computer science , process ontology , upper ontology , context (archaeology) , ontology based data integration , popularity , domain (mathematical analysis) , set (abstract data type) , suggested upper merged ontology , data science , ontology components , information retrieval , world wide web , software engineering , domain knowledge , programming language , psychology , paleontology , social psychology , philosophy , mathematical analysis , mathematics , epistemology , biology

Ontologies have gained popularity in the scientific community as representational mechanisms to support intelligent reasoning and execute inferences. In this paper we describe an ontology designed specifically to represent academic contexts at a public university. This model consists of a collection of ontologies designed to represent persons, physical space, sensor networks, events, etc. among other entities that exist in the academic environment. In particular, we describe the design requirements that guided the construction of the ontologies. The resulting ontology model is evaluated considering the competency of the ontology, and the concept domain coverage. Results are promising and the set of competency questions are translated to queries showing that the ontology model adheres to the requirements.

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