- author = "Thu Huong Nguyen and Andrea G. B. Tettamanzi",
- title = "An Evolutionary Approach to Class Disjointness Axiom Discovery",
- year = "2019",
- booktitle = "IEEE/WIC/ACM International Conference on Web Intelligence",
- pages = "68--75",
- publisher = "Association for Computing Machinery",
- address = "Thessaloniki, Greece",
- month = "14-17 " # oct,
- keywords = "genetic algorithms, genetic programming, grammatical evolution, ontology learning, OWL Axioms, evolutionary algorithms, instance-based learning, machine learning algorithms, computing methodologies, computer science, AI, artificial intelligence",
- isbn13 = "9781450369343",
- bibsource = "OAI-PMH server at api.archives-ouvertes.fr",
- identifier = "hal-02319638; DOI: 10.1145/3350546.3352502",
- language = "en",
- oai = "oai:HAL:hal-02319638v1",
-
URL = "
https://hal.inria.fr/hal-02319638",
-
URL = "
https://hal.inria.fr/hal-02319638/file/author-copy.pdf",
-
URL = "https://doi.org/10.1145/3350546.3352502",
-
DOI = "
doi:10.1145/3350546.3352502",
- size = "8 pages",
- abstract = "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 acquisition of OWL class disjointness axioms, one important type of OWL axioms which makes it possible to detect logical inconsistencies and infer implicit information from a knowledge base. The proposed method uses an axiom scoring function based on possibility theory and is evaluated against a Gold Standard, manually constructed by knowledge engineers. Experimental results show that the given method possesses high accuracy and good coverage.",
-
notes = "WI '19. https://webintelligence2019.com
also known as \cite{10.1145/3350546.3352502} \cite{oai:HAL:hal-02319638v1}",
- annote = "Web-Instrumented Man-Machine Interactions, Communities and Semantics (WIMMICS) ; Inria Sophia Antipolis - Mediterranee (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS) ; Laboratoire d'Informatique, Signaux, et Systemes de Sophia Antipolis (I3S) ; Universite Nice Sophia Antipolis (... - 2019) (UNS) ; COMUE Universite Cote d'Azur (2015 - 2019) (COMUE UCA)-COMUE Universite Cote d'Azur (2015 - 2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Universite Nice Sophia Antipolis (... - 2019) (UNS) ; COMUE Universite Cote d'Azur (2015 - 2019) (COMUE UCA)-COMUE Universite Cote d'Azur (2015 - 2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire d'Informatique, Signaux, et Systemes de Sophia Antipolis (I3S) ; Universite Nice Sophia Antipolis (... - 2019) (UNS) ; COMUE Universite Cote d'Azur (2015 - 2019) (COMUE UCA)-COMUE Universite Cote d'Azur (2015 - 2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Universite Nice Sophia Antipolis (... - 2019) (UNS) ; COMUE Universite Cote d'Azur (2015 - 2019) (COMUE UCA)-COMUE Universite Cote d'Azur (2015 - 2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)",
