In recent years, the large amount of labeled data available has also helped tend research
toward using minimal domain knowledge, eg, in deep neural network research. However, in …

In this survey, we provide an overview of the literature on knowledge graphs (KGs) in the
context of information retrieval (IR). Modern IR systems can benefit from information …

Abstract With proliferation of Big Data, organizational decision making has also become
more complex. Business Intelligence (BI) is no longer restricted to querying about marketing …

The limited adoption of Model-Driven Software Engineering (MDSE) is due to a variety of
social and technical factors, which can be summarized in one: its (real or perceived) benefits …

Abstract Named Entity Recognition and Ty** (NER/NET) is a challenging task, especially
with long-tail entities such as the ones found in scientific publications. These entities (eg …

Social networks are huge continuous sources of information that can be used to analyze
people's behavior and thoughts. Our goal is to extract such information and predict political …

Nowadays social networks are becoming an essential ingredient of our life, the faster way to
share ideas and to influence people. Interaction within social networks tends to take place …

Knowledge in the world continuously evolves, and ontologies are largely incomplete,
especially regarding data belonging to the so-called long tail. We propose a method for …

With the increase of digital interaction, social networks are becoming an essential ingredient
of our life, by progressively becoming the dominant media, eg in influencing political …

In research-oriented domains, eg, the medical domain, new or emerging knowledge is
permanently created through research and scientific discourse. This fact is, eg, reflected by a …