A Method for Mining Domain Process Ontologies from Natural Language Texts
A technology of process ontology and text mining, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as lack of dynamics and processes, inability to automatically update, inability to achieve sustainability, etc., to achieve convenient semantics search results
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[0031] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments, but they are not further limitations on the present invention.
[0032] A method for mining domain process ontology from natural language text provided by the present invention is characterized in that: comprising the following steps:
[0033] A. Create a process ontology model. By parsing the text, find logical segments, extract words expressing concepts, words expressing the relationship between concepts and concepts, and axioms, theorems, definitions and inferences in logical segments, and create classes, attributes, and The relationship between classes;
[0034] B. Instantiate the created process ontology model;
[0035] C. The above process ontology model and the instantiated process ontology model are represented by RDF triples and stored in the AG knowledge base.
[0036] Step A includes the following sub-steps:
[0037] A1. Analyze the text a...
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