Abstract Linked Open Data has been recognized as a valuable source for background
information in many data mining and information retrieval tasks. However, most of the …

The idea of reusing or transferring information from previously learned tasks (source tasks)
for the learning of new tasks (target tasks) has the potential to significantly improve the …

Entity-oriented search tasks heavily rely on exploiting unstructured and structured
collections. Moreover, it is frequent for text corpora and knowledge bases to provide …

We deal with the problem of document representation for the task of measuring semantic
relatedness between documents. A document is represented as a compact concept graph …

Latent Dirichlet allocation (LDA) is one of the probabilistic topic models; it discovers the
latent topic structure in a document collection. The basic assumption under LDA is that …

The use of semantics in tasks related to information retrieval has become, in recent years, a
vast field of research. Considering supervised text classification, which is the main interest of …

Traditional models of bag-of-words for text classification are unable to identify weights for the
co-occurrence of terms, and, mainly, for this reason, they are being replaced by models of …

This article discusses three dimensions of creativity: metaphorical thinking; social
interaction; and going beyond extrapolation in predictions. An overview of applications of …

Background: Understanding knowledge utilisation in policymaking is a core task for the
social and political sciences. However, limitations and biases abound in commonplace …

In this article, I have investigated the performance of the bisect K-means clustering algorithm
compared to the standard K-means algorithm in the analysis of Arabic documents. The …