This survey presents the concept of Big Data. Firstly, a definition and the features of Big Data
are given. Secondly, the different steps for Big Data data processing and the main problems …

Cloud computing is increasingly being regarded as a key enabler of the 'democratization of
science', because on-demand, highly scalable cloud computing facilities enable researchers …

This article relies on the idea that a semantically rich metadata layer is required in order to
provide an effective, intelligent, and engaging access to historical archives. However …

Stemming is a key step in most text mining and information retrieval applications. Information
extraction, semantic annotation, as well as ontology learning are but a few examples where …

As a text, each job advertisement expresses rich information about the occupation at hand,
such as competence needs (ie required degrees, field knowledge, task expertise or …

Creating an ontology and populating it with data are both labor-intensive tasks requiring a
high degree of expertise. Thus, scaling ontology creation and population to the size of the …

This master thesis presents a method for integrating multiple data sources from the field of
toxicology into a knowledge graph and linking it with the TOXIN knowledge graph to …

Biomedical texts are a rich information source that cannot be ignored. There are several text
annotation tools that may be used to extract useful information from these texts. However …

In this paper we are dealing with the task of adding domain-specific semantic tags to a
document, based solely on the domain ontology and generic lexical and Web resources. In …

The goal of this thesis is to present a multifaceted way of inducing semantic representation
from legal documents as well as accessing information in a precise and timely manner. The …