Semi-automated ontology development scheme via text mining of scientific records
Somayeh Tamjid,
Fatemeh Nooshinfard,
Molouk Sadat Hosseini Beheshti
et al.
Abstract:Purpose
The purpose of this study is to develop a domain independent, cost-effective, time-saving and semi-automated ontology generation framework that could extract taxonomic concepts from unstructured text corpus. In the human disease domain, ontologies are found to be extremely useful for managing the diversity of technical expressions in favour of information retrieval objectives. The boundaries of these domains are expanding so fast that it is essential to continuously develop new ontologies or upgrade av… Show more
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