The invention relates to the field of
heterogeneous information retrieval, in particular to an intelligent retrieval and analyzing method based on domain ontology and
information mining and a visual analyzing
system comprising the method. The
system mainly comprises a
field data acquisition subsystem, a corpus resource
processing subsystem, an
information mining subsystem and a visual analyzing subsystem, wherein the
field data acquisition subsystem is used for acquiring data by network capturing and local uploading, the
field data acquisition subsystem is used for pre-
processing field related data, the field
data acquisition subsystem is used for analyzing and mining related information in corpus, and the visual analyzing subsystem is used for dynamically displaying and counting and analyzing retrieval results. Concepts in
a domain ontology base and mutual relations of the concepts are fully used by the
system for
heterogeneous information mining and visual analysis, requirements of users can be correctly understood to automatically cluster hierarchical structural information of a certain field so as to support the users to inquire key words, phrases and simple sentences and optimize retrieval results, relevant concepts and extension concepts can be found by ontological reasoning to support graphic display preview of each information meaning in the inquiry results, and the professional-field
information retrieval performance can be remarkably improved to realize dynamic information display.