Semi-automated ontology development scheme via text mining of scientific records

What is it about?

In the human disease domain, ontologies are found to be extremely useful for managing the diversity of technical expressions in favor of information retrieval objectives. The boundaries of these domains are expanding so fast that it is essential to continuously develop new ontologies or upgrade available ones. This paper proposes a semi-automated approach which extracts entities/relations via text mining of scientific publications.

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