Ontology modularization and forgetting provide very useful automated support tools to ontology developers for extracting smaller sets of relevant axioms from an ...
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We show that significant improvements in the performance of forgetting can be obtained by applying a forgetting tool to ontology modules instead of the entire ...
This work presents a methodology and results of an ongoing project with IHTSDO for obtaining semantics preserving abstractions of SNOMED CT, used for model ...
Modularity Meets Forgetting: A Case Study with the SNOMED CT Ontology. J Chen, G Alghamdi, RA Schmidt, D Walther, Y Gao. Description Logics, 2019. 5, 2019.
Schmidt, Dirk Walther, and Yongsheng Gao. 2019. Modularity Meets Forgetting: A Case Study with the SNOMED CT Ontology. In Proc. of DL'19, Vol. 2373. CEUR-WS ...
Nov 19, 2019 · Modularity Meets Forgetting: A Case Study with the SNOMED. CT Ontology. In Proc. of DL'19, Vol. 2373. CEUR-WS.org. [4] Jieying Chen, Michel ...
Dec 10, 2024 · Modularity Meets Forgetting: A Case Study with the SNOMED CT Ontology. Description Logics 2019. [c2]. view. electronic edition via DOI ...
Modularity Meets Forgetting: A Case Study with the SNOMED CT Ontology. J Chen, G Alghamdi, RA Schmidt, D Walther, Y Gao. Description Logics, 2019. 4, 2019.
Modularity meets forgetting: A case study with the SNOMED CT ontology. In M. Simkus and G. E. Weddell, editors, Proceedings of the 32nd International ...
[PDF] Ontology Extraction for Large Ontologies via Modularity and ...
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It is shown that modularization and forgetting can be combined beneficially in order to compute ontology extracts and an advantage of the presented approach ...