While the biomedical informatics community widely acknowledges the utility of domain
ontologies, there remain many barriers to their effective use. One important requirement of …

The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …

Abstract Domain ontologies very rarely model verbs as relations holding between concepts.
However, the role of the verb as a central connecting element between concepts is …

In recent years, much effort has been put in ontology learning. However, the knowledge
acquisition process is typically focused in the taxonomic aspect. The discovery of non …

In this paper, we review two techniques for topic discovery in collections of text documents
(Latent Semantic Indexing and K-Means clustering) and present how we integrated them …

В статье рассматриваются современные методы машинного обучения, применяемые в
задачах обработки естественного языка. Обсуждаются классические задачи, в том …

This publication advances the state-of-the-art in ontology learning by presenting a set of
novel approaches to the semi-automatic acquisition, refinement and evaluation of logically …

Ontology learning (OL) from texts has been suggested as a technology that helps to reduce
the bottleneck of knowledge acquisition in the construction of domain ontologies. In this …

Data stream is a newly emerging data model for applications like environment monitoring,
Web click stream, network traffic monitoring, etc. It consists of an infinite sequence of data …

This paper presents a method to integrate external knowledge sources such as DBpedia
and OpenCyc into an ontology learning system that automatically suggests labels for …