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LOT: An industrial oriented ontology engineering framework

María Poveda‐Villalón, Alba Fernández-Izquierdo, Mariano Fernández‐López, Raúl García‐Castro

2022Engineering Applications of Artificial Intelligence154 citationsDOIOpen Access PDF

Abstract

Ontology Engineering has captured much attention during the last decades leading to the proliferation of numerous works regarding methodologies, guidelines, tools, resources, etc. including topics which are still being investigated. Even though, there are still many open questions when addressing a new ontology development project, regarding how to manage the overall project and articulate transitions between activities or which tasks and tools are recommended for each step. In this work we propose the Linked Open Terms (LOT) methodology, an overall and lightweight methodology for building ontologies based on existing methodologies and oriented to semantic web developments and technologies. The LOT methodology focuses on the alignment with industrial development, in addition to academic and research projects, and software development, that is making ontology development part of the software industry. This methodology includes lessons learnt from more than 20 years in ontological engineering and its application on 18 projects is reported.

Topics & Concepts

Computer scienceOntologySoftware engineeringOntology engineeringWork (physics)Semantic WebSoftware developmentProcess ontologyEngineering managementData scienceSoftwareWorld Wide WebKnowledge managementEngineeringPhilosophyProgramming languageMechanical engineeringEpistemologySemantic Web and OntologiesBiomedical Text Mining and OntologiesService-Oriented Architecture and Web Services
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