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Discovery of role functions of persons on the basis of
knowledge structures
Igor P. Kuznetsov (igor-kuz@mtu-net.ru)
Institute for Informatics Problems of
the Russian Academy of Sciences, Moscow
Introduction
One of the primary tasks in the area of cognitive technologies is the
automatic extraction of knowledge from natural language (NL) texts. It is a
complex problem connected with developing linguistic processors which perform
automatic formalization of texts, i.e. mapping the texts into formal models or
knowledge structures. It should be noted that a lot of relevant information in
NL texts is presented in a concealed form. This information is called
implicit. An example is the task of
assigning certain features to persons on the basis of actions performed by
them. In the subject area of “Criminology” it is assigning such features as
“victim”, “suspect”, etc. to persons.
The methods of implicit information extraction should be considered in
the context of the knowledge extraction task, and it is conditioned by the
specific features of the linguistic processor. The given paper describes these
methods within the framework of the object-oriented linguistic processor
developed at the Institute for Informatics Problems of the Russian Academy of
Sciences (IIPRAS).
Example 2. Text is taken from the summaries of incidents.
01.02.98 yr. 16-30 to the Home Office
applied citizen Mitrofanov Victor Mikhaylovich,
1955 yr. bir., liv.: Bohr
Highway 38-211, n/w. he stated that 01.02.98 yr. at 10-
System
explanation:
unknowns -
suspected,
since -
unknowns, being in the drunk state made scandal,
they
expressing themselves by unquotable swearing, they set dog
Mitrofanov Victor
Mikhaylovich, 1955 r. - suffered,
since –
applied to OVD citizen Mitrofanov Victor Mikhaylovich, 1955 yr. birth,
since Mitrofanov applied to trauma care centre.
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