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An Evolutionary Approach to Class Disjointness Axiom Discovery
2019
IEEE/WIC/ACM International Conference on Web Intelligence on - WI '19
Axiom learning is an essential task in enhancing the quality of an ontology, a task that sometimes goes under the name of ontology enrichment. To overcome some limitations of recent work and to contribute to the growing library of ontology learning algorithms, we propose an evolutionary approach to automatically discover axioms from the abundant RDF data resource of the Semantic Web. We describe a method applying an instance of an Evolutionary Algorithm, namely Grammatical Evolution, to the
doi:10.1145/3350546.3352502
dblp:conf/webi/NguyenT19
fatcat:qmpdb76ga5bdln7miga3gka2ku