A sustainable use of WordNet in artificial intelligence
DOI:
https://doi.org/10.7203/qf.0.26595Keywords:
sustainability, WordNet, artificial intelligence, natural language processing, knowledge engineering.Abstract
The manual compilation of comprehensive language resources for artificial intelligence systems is a labour-intensive, time-consuming and economically costly task, which is why a sustainable use of existing resources is recommended. In this context, the research goal of this article is WordNet, a lexical database originally designed for the study of semantic networks. In particular, we analyse the sustainability of this lexicographical resource in the artificial intelligence fields of natural language processing and knowledge engineering from the perspective of three core attributes: extensibility, interoperability and reusability.
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