Nicolas Matentzoglu

0000-0002-7356-1779
Publications46
h-index10
Citations602
Highly Influential Citations43
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Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources
TLDR
The Human Phenotype Ontology (HPO)—a standardized vocabulary of phenotypic abnormalities associated with 7000+ diseases—is used by thousands of researchers, clinicians, informaticians and electronic health record systems. Expand
  • 245
  • 15
  • PDF
A Snapshot of the OWL Web
TLDR
We survey ontologies as they exist on the web and describe the creation of a corpus of OWL DL ontologies using strategies such as web crawling, various forms of de-duplications and manual cleaning, which allows random sampling of ontologies for a variety of empirical applications. Expand
  • 46
  • 7
  • PDF
OWL Reasoner Evaluation (ORE) Workshop 2013 Results: Short Report
TLDR
The OWL reasoner evaluation (ORE) workshop brings together reasoner developers and ontology engineers in order to discuss and evaluate the performance and robustness of modern reasoners on OWL ontologies. Expand
  • 34
  • 5
  • PDF
The OWL Reasoner Evaluation (ORE) 2015 Competition Report
TLDR
The OWL Reasoner Evaluation competition is an annual competition (with an associated workshop) that pits OWL 2 compliant reasoners against each other on standard reasoning tasks over naturally occurring problems. Expand
  • 54
  • 4
  • PDF
A Corpus of OWL DL Ontologies
TLDR
In this paper, we describe the creation of a corpus of OWL DL ontologies using strategies such as web crawling, various forms of de-duplications and manual cleaning, which allows random sampling of ontologies for a variety of empirical applications. Expand
  • 27
  • 3
  • PDF
MIRO: guidelines for minimum information for the reporting of an ontology
TLDR
We propose the Minimum Information for Reporting an Ontology (MIRO) guidelines as a means to facilitate a higher degree of completeness and consistency between ontology documentation, including published papers, and ultimately a higher standard of report quality. Expand
  • 26
  • 2
The Empirical Robustness of Description Logic Classification
TLDR
In spite of the recent renaissance in lightweight description logics (DLs), many prominent DLs, such as that underlying the Web Ontology Language (OWL), have high worst case complexity for their key inference services. Expand
  • 24
  • 2
  • PDF
A Survey of Current, Stand-alone OWL Reasoners
TLDR
We present a survey of the current OWL reasoner landscape, characterising all reasoners across a wide range of categories such as supported expressiveness and reasoning services. Expand
  • 26
  • 2
  • PDF
The Manchester OWL Repository: System Description
TLDR
We are building the Manchester OWL Repository, a resource for creating and sharing ontology datasets, to push the quality frontier of empirical ontology research and provide access to a great variety of well curated ontologies. Expand
  • 10
  • 2
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Ontology-Based Generation of Medical, Multi-term MCQs
  • J. Leo, G. Kurdi, +5 authors W. Dowling
  • Computer Science
  • International Journal of Artificial Intelligence…
  • 25 January 2019
TLDR
We present a novel ontology-based approach that exploits classes and existential restrictions to generate case-based questions that are suitable for scenarios beyond mere knowledge recall. Expand
  • 13
  • 1