Lifting EMMeT to OWL Getting the Most from SKOS

  title={Lifting EMMeT to OWL Getting the Most from SKOS},
  author={Bijan Parsia and Tahani Alsubait and Jared Leo and V{\'e}ronique Malais{\'e} and Sophie Forge and Michelle L. Gregory and Andrew Allen},
SKOS and OWL are quite different but complimentary languages. SKOS is targeted at "cognitive" or "navigational" representations, that is, thesauri, controlled vocabularies, and the like. OWL is targeted at logical representations of conceptual knowledge. To a first approximation, SKOS vocabularies try to capture useful relations between concepts, whereas OWL ontologies aim to capture true relations between concepts. Now, of course, the true is sometimes useful and the useful often true, thus… 

Ontology-Based Generation of Medical, Multi-term MCQs

  • J. LeoG. Kurdi W. Dowling
  • Computer Science
    International Journal of Artificial Intelligence in Education
  • 2019
This paper presents 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 and generates more than 3 million questions for four physician specialities.

A comparative study of methods for a priori prediction of MCQ difficulty

Two ontology-based measures for difficulty prediction of multiple choice questions, as well as comparing each measure with expert prediction against the exam performance of 12 residents over a corpus of 231 medical case-based questions that are in multiple choice format, are analyzed.



GenTax: A Generic Methodology for Deriving OWL and RDF-S Ontologies from Hierarchical Classifications, Thesauri, and Inconsistent Taxonomies

This paper shows that it often depends on the context of usage whether an informal hierarchical categorization schema is a classification, a thesaurus, or a taxonomy, and presents a novel methodology for automatically deriving consistent RDF-S and OWL ontologies from such schemas.

The Description Logic Handbook

This introduction presents the main motivations for the development of Description Logics (DLs) as a formalism for representing knowledge, as well as some important basic notions underlying all

HermiT: A Highly-Efficient OWL Reasoner

Tests show that HermiT is usually much faster than other reasoners when classifying complex ontologies, and it is already able to classify a number of ontologies which no other reasoner has been able to handle.

From thesaurus to ontology

A case study in which an ontology is attempted for a subset of art-object descriptions, namely antique furniture, using AAT as well as metadata standards as input, and the representation requirements and representational problems for the sample ontology are discussed.

Pellet: A practical OWL-DL reasoner

The Description Logic Handbook: Theory, Implementation, and Applications

This new edition of The Description Logic Handbook provides a thorough account of the subject, covering all aspects of research in this field, namely: theory, implementation, and applications.

SKOS Simple Knowledge Organization System Reference

This document defines the Simple Knowledge Organization System (SKOS), a common data model for sharing and linking knowledge organization systems via the Web, which provides a standard, low-cost migration path for porting existing knowledge organizations systems to the Semantic Web.

FaCT++ Description Logic Reasoner: System Description

This is a system description of the Description Logic reasoner FaCT++. The reasoner implements a tableaux decision procedure for the well known $\mathcal{SHOIQ}$ description logic, with additional

A Survey of Ontology Learning Procedures

This paper provides a discussion on existing ontology learning techniques and the state of the art of the field.

Methods for Porting Resources to the Semantic Web

This paper describes a method for converting existing source material to a representation that is compatible with Semantic Web languages such as RDF(S) and OWL.