Abstract:
Currently, ontologies are recognized as the most effective means of
formalizing and systematizing knowledge and data in scientific subject area
(SSA). Practice has shown that using ontology design patterns is effective in
developing the ontology of scientific subject areas. This is due to the fact
that scientific subject areas ontology, as a rule, contains a large number of
typical fragments that are well described by patterns of ontology design. In
the paper, we present an approach to ontology engineering of automatic text
processing methods based on ontology design patterns. In order to get an
ontology that would describe automatic text processing sufficiently fully, it
is required to process a large number of scientific publications and
information resources containing information from modeling area. It is
possible to facilitate and speed up the process of updating ontology with
information from such sources by using lexical and syntactic patterns of
ontology design. Our ontology of automatic text processing will become the
conceptual basis of an intelligent information resource on modern methods
of automatic text processing, which will provide systematization of all
information on these methods, its integration into a single information space,
convenient navigation through it, as well as meaningful access to it.
