Integration of the Image and NL-text Analysis/Synthesis Systems-Reference-Cited by-同舟云学术

Integration of the Image and NL-text Analysis/Synthesis Systems

Published:2012 Issue: Volume: Page:160-185
ISSN:
Container-title:Intelligent Data Analysis for Real-Life Applications
language:
Short-container-title:

Author:

Khakhalin Gennady K.¹,Kurbatov Sergey S.²,Naidenova Xenia³,Lobzin Alex P.²

Affiliation:

1. Freelancer, Russia

2. Research Centre of Electronic Computing Engineering (RCECE), Russia

3. Military Medical Academy, Russia

Abstract

A complex combining multimodal intelligent systems is described. The complex consists of the following systems: image analyzer, image synthesizer, linguistic analyzer of NL-text, and synthesizer of NL-text and applied ontology. The ontology describes the knowledge common for these systems. The analyzers use the applied ontology language for describing the results of their work, and this language is input for the synthesizers. The language of semantic hypergraphs has been selected for ontological knowledge representation. It is an extension of semantic networks. Plane geometry (planimetry) has been selected as an applied domain of the complex. The complex’s systems and their interaction are described.

Publisher

IGI Global

Reference30 articles.

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2. Cimiano, P. (2006). Ontology learning and population from text. Algorithms, evaluation and applications. Springer Science+Busivess Media, LLC.

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