Informatics and Applications

2015, Volume 9, Issue 3, pp 106-123

GOAL-ORIENTED PROCESSES OF CROSS-LINGUAL EXPERT KNOWLEDGE CREATION: SEMIOTIC FOUNDATIONS FOR MODELING

  • I. M. Zatsman

Abstract

The results of development of semiotic foundations for modeling goal-oriented processes of cross-lingual expert knowledge creation are described. The technology supporting these processes is outlined. The demand for such technologies is obvious in situations where present systems of expert knowledge do not answer to new socially or technologically significant purposes, corresponding to new or changed requirements of modern society Instead of centering on the well-known artificial intelligence methods and models of information processing for knowledge representation, this paper focuses on development of new models of goal-oriented processes of expert knowledge creation reflecting dynamics of its formation. The suggested approach to modeling these processes and to development of technologies supporting them is focused on those applied areas where expert knowledge is elicited from domain experts. The experts analyze texts or other interpretation objects which can vary over time and enter the results of analysis into supracorpus databases. The distinguishing feature of the semiotic approach to modeling is the explicit description of relations between new expert knowledge and those interpretation objects, from which parts of new knowledge were generated. Other important feature is the explicit description of parts of knowledge corresponding to interpretation objects that may vary over time. Feasibility of the approach is demonstrated on the example of information technology, which supports the processes of creation of cross-lingual expert knowledge based on French translations of Russian verbal constructions. Cross-lingual knowledge is generated in the course of analysis of parallel texts in Russian and French languages.

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