TY - GEN
T1 - Commonsense Ontology Micropatterns
AU - Eells, Andrew
AU - Dave, Brandon
AU - Hitzler, Pascal
AU - Shimizu, Cogan
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - The previously introduced Modular Ontology Modeling methodology (MOMo) attempts to mimic the human analogical process by using modular patterns to assemble more complex concepts. To support this, MOMo organizes ontology design patterns (ODPs) into design libraries, which are programmatically queryable. However, a major bottleneck to large-scale deployment of MOMo is the (to-date) limited availability of ready-to-use ODPs. At the same time, Large Language Models (LLMs) have quickly become a source of common knowledge and, in some cases, replacing search engines for questions. In this paper, we thus present a collection of 104 ODPs representing often occurring nouns, curated from the common-sense knowledge available in LLMs, organized into a fully-annotated modular ontology design library ready for use with MOMo.
AB - The previously introduced Modular Ontology Modeling methodology (MOMo) attempts to mimic the human analogical process by using modular patterns to assemble more complex concepts. To support this, MOMo organizes ontology design patterns (ODPs) into design libraries, which are programmatically queryable. However, a major bottleneck to large-scale deployment of MOMo is the (to-date) limited availability of ready-to-use ODPs. At the same time, Large Language Models (LLMs) have quickly become a source of common knowledge and, in some cases, replacing search engines for questions. In this paper, we thus present a collection of 104 ODPs representing often occurring nouns, curated from the common-sense knowledge available in LLMs, organized into a fully-annotated modular ontology design library ready for use with MOMo.
UR - https://corescholar.libraries.wright.edu/cse/700
UR - https://www.scopus.com/pages/publications/85204924291
UR - https://www.scopus.com/pages/publications/85204924291#tab=citedBy
U2 - 10.1007/978-3-031-71170-1_6
DO - 10.1007/978-3-031-71170-1_6
M3 - Conference contribution
AN - SCOPUS:85204924291
SN - 9783031711695
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 51
EP - 59
BT - Neural-Symbolic Learning and Reasoning - 18th International Conference, NeSy 2024, Proceedings
A2 - Besold, Tarek R.
A2 - d’Avila Garcez, Artur
A2 - Jimenez-Ruiz, Ernesto
A2 - Madhyastha, Pranava
A2 - Wagner, Benedikt
A2 - Confalonieri, Roberto
PB - Springer Science and Business Media Deutschland GmbH
T2 - 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024
Y2 - 9 September 2024 through 12 September 2024
ER -