Abstract
This paper presents an evaluation of state of the art black box justification finding algorithms on the NCBO BioPortal ontology corpus. This corpus represents a set of naturally occurring ontologies that vary greatly in size and expressivity. The results paint a picture of the performance that can be expected when finding all justifications for entailments using black box justification finding techniques. The results also show that many naturally occurring ontologies exhibit a rich justificatory structure, with some ontologies having extremely high numbers of justifications per entailment. © 2012 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Horridge, M., Parsia, B., & Sattler, U. (2012). Extracting justifications from BioPortal ontologies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7650 LNCS, pp. 287–299). Springer Verlag. https://doi.org/10.1007/978-3-642-35173-0_19
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