With the constantly growing number of reviews and other sentiment-bearing texts on the
Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …

Semantic Data Mining refers to the data mining tasks that systematically incorporate domain
knowledge, especially formal semantics, into the process. In the past, many research efforts …

We provide a comprehensive survey of the research literature that applies Information
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …

Aspect-based sentiment analysis allows one to compute the sentiment for an aspect in a
certain context. One problem in this analysis is that words possibly carry different sentiments …

The evaluation of ontologies is vital for the growth of the Semantic Web. We consider a
number of problems in evaluating a knowledge artifact like an ontology. We propose in this …

European researcher. 2010. № 1 Page 1 Modeling of Artificial Intelligence, 2015, Vol.(8), Is. 4 252
Copyright © 2015 by Academic Publishing House Researcher Published in the Russian …

Bourdieu's social theory offers a way of understanding some of the most important features
of the field of educational research, while also providing educational researchers with a rich …

Ontology learning is the process of acquiring (constructing or integrating) an ontology (semi-
) automatically. Being a knowledge acquisition task, it is a complex activity, which becomes …

In this paper, a fuzzy ontology and its application to news summarization are presented. The
fuzzy ontology with fuzzy concepts is an extension of the domain ontology with crisp …

In this article, we study the problem of Web user profiling, which is aimed at finding,
extracting, and fusing the “semantic”-based user profile from the Web. Previously, Web user …