We provide a comprehensive survey of the research literature that applies Information
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …

Named Entity Disambiguation is the task of assigning entities from a Knowledge Graph (KG)
to mentions of such entities in a textual document. The state-of-the-art for this task balances …

Immense numbers of textual documents are available in a digital form. Research activities
are focused on methods of how to speed up their processing to avoid information …

Entity disambiguation (ED) is the last step of entity linking (EL), when candidate entities are
reranked according to the context they appear in. All datasets for training and evaluating …

Abstract Named Entity Disambiguation (NED) systems perform well on news articles and
other texts covering a specific time interval. However, NED quality drops when inputs span …

Point of Interest (POI) data constitute the cornerstone of any application, service or product
even remotely related to our physical surroundings. From navigation applications to social …

In the era of Web 2.0, the knowledge is the de-facto social currency in the global network
environment. Knowledge is not an accumulation of data, but a relation-based representation …

Knowledge graphs (KGs) have shown to be an important asset of large companies like
Google and Microsoft. KGs play an important role in providing structured and semantically …

In this paper we investigate the accuracy and overall suitability of a variety of Entity Linking
systems for the task of disambiguating entities in 17th century depositions obtained during …

Implementing the multilingual Semantic Web vision requires transforming unstructured data
in multiple languages from the Document Web into structured data for the multilingual Web …