Vladimir Khoroshevsky

Dorodnicyn Computing Centre of RAS · Department of Intelligent Systems

Objective: To study the needs of patients suffering from multiple sclerosis (MS) in Russia. Material and methods: The technologies of Big Data analysis and intelligent processing of unstructured information (semantic analysis of natural language texts), developed by Semantic Hub were used. Semantic Hub platform scans digital environment to conne...

A novel approach to trend monitoring and the identification of promising high-tech solutions is presented in the chapter. It is based on the ontology of a technology/market trend, Hype Cycles methodology, and semantic indicators which provide evidence of a maturity level of a technology as well as of emerging user needs (customer pains) in high-tec...

A novel domain-independent approach to technology trend monitoring is presented in the paper. It is based on the ontology of a technology trend, hype cycles methodology, and semantic indicators which provide evidence of a maturity level of a technology. This approach forms the basis for implementation of text-mining software tools. Algorithms behin...

Anticipating future pathways of Science, Technologies, and Innovations is a complex task in any R&D field and is even more challenging for the complex landscape of promising R&D directions in multiple fields. As a solution, this study analyzes research papers in Scientometrics and Technology mining. It presents an approach and text mining tools for...

This paper discusses a structured approach to image processing and semantic interpretation of data patterns. A brief overview of the state of research on a structured approach to pattern recognition and scene analysis is presented. The proposed structural approach is described in the context of discussions on image processing of data patterns, as w...

A hybrid approach to automated identification and monitoring of technology trends is presented. The hybrid approach combines methods of ontology based information extraction and statistical methods for processing OBIE results. The key point of the approach is the so called ‘black box’ principle. It is related to identification of trends on the basi...

This paper is the second part of the article with the same title. In the first part, the general aspects of a new field known as the Semantic Web and the history of the issue, the basic challenges for the establishment of knowledge spaces in the Internet, and problems in the extraction of knowledge from texts in natural languages (NLs) that arise i...

A new line of investigation that integrates studies on artificial intelligence and Internet technologies, which is known as the Semantic Web, is presented. A review of the present state of research is given; problems on the establishment of knowledge spaces on the Internet, the means and methods for the extraction of knowledge from texts in natural...

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This paper deals with the problem of development and implementation of semantic navigation through Web-content. Multi-agent architecture of a solution for Semantic Web and innovative services are presented. In the context of the proposed solution Web mining is carried out by special OntosMiner agents, which provide the ontology-driven processing of...

The evolution of the semantic web brings new possibilities to handle the information overload. This paper presents a solution on how to navigate the web in a semantically meaningful way and to create reports of items of interest on demand. The proposed solution is based on semantic navigation, digesting and summarization of web-content. In the cont...

The representation language of linguistic knowledge ATNL-2 is considered. The language is destined for creation of L-processors for intellectual interactive systems. The abstract ATNL-machine is described and problems of its hardware and software implementations are discussed.

Case studies for developing and implementing medical portals based on Semantic Technologies and ontological approach in Knowledge Management, Information Extraction and unstructured text processing are presented in the paper.