This paper presents two approaches to semantic search by incorporating Linked Data
annotations of documents into a Generalized Vector Space Model. One model exploits …

The growing amount of documents in archives and blogs results in an increasing challenge
for curators and authors to tag, present, and recommend their content to the user. refer …

In recent years, named entity linking (NEL) tools were primarily developed as general
approaches, whereas today numerous tools are focusing on specific domains such as eg …

In recent years, named entity linking (NEL) tools were primarily developed in terms of a
general approach, whereas today numerous tools are focusing on specific domains such as …

The automatic annotation of textual content with entities from a knowledge base is a well
established field. Applications, such as DBpedia Spotlight and GATE enable to identify and …

In the context of the digitization of manuscripts, transcription and annotation are often
distinct, sequential steps. This could lead to difficulties in improving the transcribed text …

When searching for an arbitrary subject in weblogs or archives, users often don't get the
information they are really looking for, because they are overwhelmed with an overflow of …

Online reviews extracted from social media are being used increasingly in recommender
systems, typically to enhance prediction accuracy. A somewhat less studied avenue of …

The explosive growth of resources stored in various forms and transmitted over the internet
has necessitated researches into information retrieval technologies. The major information …