A few years after Google announced that their 'Knowledge Graph'would have allowed
searching for things, not strings, 1 knowledge graphs start entering information retrieval …

The paper presents a framework for introducing design patterns that facilitate or improve the
techniques used during ontology lifecycle. Some distinctions are drawn between kinds of …

Область современного информационного поиска чрезвычайно разнообразна. Она
включает такие задачи, как собственно поиск информации, фильтрация, рубрикация и …

Word sense disambiguation (WSD) is traditionally considered an AI-hard problem. A break-
through in this field would have a significant impact on many relevant Web-based …

There are a large number of ontologies currently available on the Semantic Web. However,
in order to exploit them within natural language processing applications, more linguistic …

A formal machine reader is a tool able to transform natural language text into formal
structured knowledge so as the latter can be interpreted by machines, according to a shared …

Definition extraction is the task of automatically identifying definitional sentences within texts.
The task has proven useful in many research areas including ontology learning, relation …

In this paper we motivate why it is crucial to associate linguistic information with ontologies
and why more expressive models, beyond the label systems implemented in RDF, OWL and …

One of the important Natural Language Processing applications is Text Summarization,
which helps users to manage the vast amount of information available, by condensing …

Semantic web applications leveraging NLP can benefit from easy access to expressive
lexical resources such as FrameNet. However, the usefulness of FrameNet is affected by its …