This paper studies the discovery of communities from social network documents produced
over time, addressing the discovery of temporal trends in community memberships. We first …

In this article, we present a method for extracting automatically from texts semantic relations
in the medical domain using linguistic patterns. These patterns refer to three levels of …

Advances in biomedical technology and research have resulted in a large number of
research findings, which are primarily published in unstructured text such as journal articles …

Objective: To evaluate the effectiveness of a lexico-syntactic pattern (LSP) matching method
for ontology enrichment using clinical documents. Methods: Two domains were separately …

This article describes the implementation and evaluation of WWW2REL, a domain-
independent and pattern-based knowledge discovery system which extracts semantic …

The main goal of this paper is to extract the semantic relations underpinning the concepts of
English prepositional of-constructions derived from poetic and non-poetic datasets, using …

To realize the vision of a Semantic Web for Life Sciences, discovering relations between
resources is essential. It is very difficult to automatically extract relations from Web pages …

Работа посвящена применению онтологических паттернов проектирования в рамках
решения задач генерации, расширения и наполнения онтологий на основе анализа …

Depuis une quinzaine d'années, des marqueurs linguistiques sont employés comme un
moyen potentiel de repérer des relations conceptuelles en corpus. Il s' agit d'éléments …

Studies in linguistics define lexico-syntactic patterns to characterize the linguistic utterances
that can be interpreted with semantic relations. Because patterns are assumed to reflect …