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20092019
most citedManaging Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory. International Journal of Telemedicine and Applications

9 citations · 13 across the 3 of their papers we have counts for

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5 papers · 1 filter

cs.AI20193 cited

A Framework for Parallelizing OWL Classification in Description Logic Reasoners

Zixi Quan, Volker Haarslev

In this paper we report on a black-box approach to parallelize existing description logic (DL) reasoners for the Web Ontology Language (OWL). We focus on OWL ontology classificatio…

cs.AI20191 cited

Learning the Right Expansion-ordering Heuristics for Satisfiability Testing in OWL Reasoners

Razieh Mehri, Volker Haarslev, Hamidreza Chinaei

Web Ontology Language (OWL) reasoners are used to infer new logical relations from ontologies. While inferring new facts, these reasoners can be further optimized, e.g., by properl…

cs.AI2018

Optimizing Heuristics for Tableau-based OWL Reasoners

Razieh Mehri, Volker Haarslev, Hamidreza Chinaei

Optimization techniques play a significant role in improving description logic reasoners covering the Web Ontology Language (OWL). These techniques are essential to speed up these…

cs.AI2018

Handling Nominals and Inverse Roles using Algebraic Reasoning

Humaira Farid, Volker Haarslev

This paper presents a novel SHOI tableau calculus which incorporates algebraic reasoning for deciding ontology consistency. Numerical restrictions imposed by nominals, existential…

cs.AI20099 cited

Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory. International Journal of Telemedicine and Applications

Arash Shaban-Nejad, Olga Ormandjieva, Mohamad Kassab +1

Requirement volatility is an issue in software engineering in general, and in Web-based clinical applications in particular, which often originates from an incomplete knowledge of…