Linguistic analysis of textual commercial content for information resources processing

The article content lies in solving the important applied scientific problem of the informational resources processing intellectual systems (IRPISes) with textual commercial content linguistic analysis usage creation. The IRPISes functioning mathematical ensuring was developed. The IRPISes construction means and methods will be developed on the basis of created mathematical models. Such systems have the widespread usage, in particular for the forming, managing and maintenance of the expanding content volume in Internet, running e-business, during the online and offline content realization systems, cloud storage and cloud computing.

[1]  Eugene Burov.  Complex ontology management using task models , 2014, Int. J. Knowl. Based Intell. Eng. Syst..

[2]  Vasyl Lytvyn.  The similarity metric of scientific papers summaries on the basis of adaptive ontologies , 2011, Perspective Technologies and Methods in MEMS Design.

[3]  Sergey Brin,et al.  The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.

[4]  Jussi Karlgren,et al.  Recognizing Text Genres With Simple Metrics Using Discriminant Analysis , 1994, COLING.

[5]  Marti A. Hearst.  Automatic Acquisition of Hyponyms from Large Text Corpora , 1992, COLING.

[6]  Gregory Grefenstette.  Automatic Thesaurus Generation from Raw Text using Knowledge-Poor Techniques , 1993 .

[7]  V. Vysotska,et al.  Analysis and Evaluation of Risks in Electronic Commerce , 2007, 2007 9th International Conference - The Experience of Designing and Applications of CAD Systems in Microelectronics.