Abstract
We report on an on-going effort to assess an automated ontology evaluation method that uses lexical frequencies to determine which are relevant lexical triples of a set of triples automatically mined from a textual corpus. The aim is to obtain a light-weight automatic ontology evaluation method that can be easily applied by knowledge engineers to determine whether or not the most important notions and relationships are represented in a set of ontology triples. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Spyns, P. (2007). Validating a tool for evaluating automatically lexical triples mined from texts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4805 LNCS, pp. 11–12). Springer Verlag. https://doi.org/10.1007/978-3-540-76888-3_6
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