Towards the ontology-based approach for factual information matching

Factual information is information based on facts or relating to facts. The reliability of automatically extracted facts is the main problem of processing factual information. The fact retrieval system remains one of the most effective tools for identifying the information for decision-making. In this work, we explore how can natural language processing methods and problem domain ontology help to check contradictions and mismatches in facts automatically

A Survey of Association Rule Mining for Customer Relationship Management

Data mining technique is most frequently used in Customer Relationship Management field. There are many data mining algorithm and methods can be used in solving CRM problems. Association Rule Mining technique is widely used in CRM application. Various algorithms has been proposed by various researches. This paper is an effort to analyze these algorithms in view of their implementation in Customer Relationship Management

Issues of Fact-based Information Analysis

With the recent growth of Internet, mobile and social networks the spread of fake news and click-baits increases drastically. Today, the fact retrieval system is one of the most effective tools for identifying the information for decision-making. We propose the approach based on factual information systematization. Different interpretations of the same phenomenon, as well as the inconsistency, inaccuracy or mismatch in information coming from different sources, lead to the task of factual information extraction. In this work, we explore how can natural language processing methods help to check contradictions and mismatches in facts automatically. The reference model of the factbased analytical system is proposed. It consists of such basic components as Document Search component, Fact retrieval component, Fact Analysis component, Visualization component, and Control component

Methods and models of automatic ontology construction for specialized domains (case of the Radiation Security)

We propose a hybrid, semi-automatic approach that uses the intersection of semantic classes of nouns and verbs built on the domain lexicon and builds kernel ontology from a list of initial concepts and then completes this kernel ontology by new entities detected in a large corpus of texts of international standards of Radiological Safety. The results confirm the important role of initial linguistic modeling and show that the external lexical resources available online can contribute effectively to the resolution of the problem of lexical disambiguation

Ecological Corporative System Concept in Solving Problems of Ecological Estimation and Ecological Hygienic Normalization

Approach of methodical application of concept of ecological corporative system (CES) in the system of ecological monitoring is shown in the article. Appropriateness of corporative approach application was indicated for problem solving of standardization of state parameters of environmental objects. The appropriate algorithms of the assessment of the health risk and of the ecological standardization problems were developed on basis of analysis of existent approaches of determination of system status and appropriateness of introduction of the risk-analysis for problem solving of state identification of CES

Corporative Ecological System and Processes Mathematical Modelling

In the article the basics of the corporate approach in the system of ecological monitoring for solving of ecological problems tasks macro- and a microlevel are considered. Practical results of realization of corporate system in definition of an ecological estimation of processes in the soils are submitted