Ontology-based information extraction: An introduction and a survey of current approaches

By Daya C. Wimalasuriya, Dejing Dou. Journal of information science, 2010

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Integrating hard and soft information sources for D2D using controlled natural language (2012, methodology): “The CE based approach that can be used in support of Natural Language Processing is very similar to Ontology Based Information Extraction [15] in that the underlying CE model is used as the basis against which to run the NLP extraction process for the target corpus.”
Knowledge Graph Identification (2013, methodology): “To find these candidates, systems leverage a small amount of training data and use bootstrapping to find extraction patterns[7], which in turn are used to generate additional candidate facts from text.”
Extraction of potential adverse drug events from medical case reports (2012, background): “The use of ontologies for driving information extraction has been reported [24,25].”
Learning to Refine an Automatically Extracted Knowledge Base Using Markov Logic (2012, unknown): “Our research is closely related to ontology-based information extraction (OBIE) which combines information extraction with knowledge representation by using ontologies to guide information extraction [8].”
News events prediction using Markov logic networks (2018, background): “An OBIE is a system that processes unstructured or semi-structured natural language text through a mechanism guided by ontologies to extract certain types of information and presents the output using ontologies [42].”