TY - GEN
T1 - Top level ontologies: desirable characteristics in the context of materials science
AU - Del, Nostro P.
AU - Friis, J.
AU - Ghedini, E.
AU - Goldbeck, G.
AU - Toti, Daniele
AU - Zaccarini, F. A.
PY - 2024
Y1 - 2024
N2 - The desiderata for the effective representation of Materials Science and Engineering (MSE) knowledge in Top Level Ontologies (TLOs) are discussed, based on the empirically grounded assumption that different ontologies exhibit different degrees of suitability in different contexts, and with respect to different goals and use-cases. The discussion follows the general requirements for TLOs outlined in ISO/IEC 21838-1, investigating each of them in the context of MSE 's methodological principles and procedural staples. As a result of the analysis, a set of desirable characteristics for TLOs is individuated, providing reasons to favor certain ontology design alternatives. The Elementary Multiperspective Material Ontology (EMMO) is briefly introduced as an example of an ontology engineered to meet the MSE desiderata. While comparing the effectiveness of conceptual frameworks across different contexts remains challenging, the analysis should lead to improvements in knowledge representation for the MSE domain, either directly, or by fostering explicit discussions regarding ontology design choices.
AB - The desiderata for the effective representation of Materials Science and Engineering (MSE) knowledge in Top Level Ontologies (TLOs) are discussed, based on the empirically grounded assumption that different ontologies exhibit different degrees of suitability in different contexts, and with respect to different goals and use-cases. The discussion follows the general requirements for TLOs outlined in ISO/IEC 21838-1, investigating each of them in the context of MSE 's methodological principles and procedural staples. As a result of the analysis, a set of desirable characteristics for TLOs is individuated, providing reasons to favor certain ontology design alternatives. The Elementary Multiperspective Material Ontology (EMMO) is briefly introduced as an example of an ontology engineered to meet the MSE desiderata. While comparing the effectiveness of conceptual frameworks across different contexts remains challenging, the analysis should lead to improvements in knowledge representation for the MSE domain, either directly, or by fostering explicit discussions regarding ontology design choices.
KW - Knowledge Representation
KW - Materials Science and Engineering
KW - Science and Industry
KW - Top Level Ontology
KW - Knowledge Representation
KW - Materials Science and Engineering
KW - Science and Industry
KW - Top Level Ontology
UR - https://publicatt.unicatt.it/handle/10807/297133
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85204946406&origin=inward
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85204946406&origin=inward
M3 - Conference contribution
SN - 16130073
VL - 3760
SP - 29
EP - 40
BT - CEUR Workshop Proceedings
PB - CEUR-WS
ER -