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 …

Knowledge Bases (KBs) find applications in many knowledge-intensive tasks and, most
notably, in information retrieval. Wikidata is one of the largest public general-purpose KBs …

Text analytics systems often rely heavily on detecting and linking entity mentions in
documents to knowledge bases for downstream applications such as sentiment analysis …

We tackle the problem of resolving coreferences in textual content by leveraging Semantic
Web techniques. Specifically, we focus on noun phrases that coreference identifiable …

Background The constant growth of biomedical data is accompanied by the need for new
methodologies to effectively and efficiently extract machine-readable knowledge for training …

Facing a large amount of entities appearing on the web, entity linking has recently become
useful. It assigns an entity from a resource to one name mention to help users grasp the …

Facing lots of name mentions appearing on the web, entity linking is essential for many
information processing applications. To improve linking accuracy, the relations between …

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 …

In this paper, we propose a system, FLORIN, which provides support for near real-time
applications on user generated content on daily news. FLORIN continuously crawls news …

In this paper, we present a knowledge engineering project in the medical domain. The
objective of the project is to identify recent medical knowledge represented by emerging …