TY - GEN
T1 - Lifting EMMeT to OWL getting the most from SKOS
AU - Parsia, Bijan
AU - Alsubait, Tahani
AU - Leo, Jared
AU - Malaisé, Veronique
AU - Forge, Sophie
AU - Gregory, Michelle
AU - Allen, Andrew
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - 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 SKOS and OWL overlap to some degree. However, there are applications where we need to know true relations (e.g., generating multiple choice questions). Furthermore, SKOS relations are not precisely specified (by design). For example, many different ways of being useful can be covered by the same SKOS relation, but only one way of being useful is actually applicable to some application. In this paper, we present a case study of modifying a large, existing SKOS vocabulary partially into OWL. This lifting is motivated by an application (generating multiple choice questions) that requires more precision in the representation than SKOS alone supports.
AB - 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 SKOS and OWL overlap to some degree. However, there are applications where we need to know true relations (e.g., generating multiple choice questions). Furthermore, SKOS relations are not precisely specified (by design). For example, many different ways of being useful can be covered by the same SKOS relation, but only one way of being useful is actually applicable to some application. In this paper, we present a case study of modifying a large, existing SKOS vocabulary partially into OWL. This lifting is motivated by an application (generating multiple choice questions) that requires more precision in the representation than SKOS alone supports.
UR - http://www.scopus.com/inward/record.url?scp=84964896413&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-33245-1_7
DO - 10.1007/978-3-319-33245-1_7
M3 - Contribución a la conferencia
AN - SCOPUS:84964896413
SN - 9783319332444
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 69
EP - 80
BT - Ontology Engineering - 12th International Experiences and Directions Workshop on OWL, OWLED 2015, co-located with ISWC 2015, Revised Selected Papers
A2 - Dragoni, Mauro
A2 - Goncalves, Rafael
A2 - Tamma, Valentina
A2 - Lawrynowicz, Agnieszka
PB - Springer Verlag
T2 - 12th International Experiences and Directions Workshop on OWL, OWLED 2015, co-located with International Semantic Web Conference, ISWC 2015
Y2 - 9 October 2015 through 10 October 2015
ER -