Most current survey papers classify community detection methods into broad categories and
do not draw clear boundaries between the specific techniques employed by these methods …

The growing presence of Resource Description Framework (RDF) as a data representation
format on the web brings opportunity to develop new approaches to data analysis. One of …

Web is becoming rich in data. Some of the sources from where these data are originating
includes Blogs, YouTube, Twitter, Emails, E‐commerce, Banking, sensors, and the Internet …

Abstract Information systems are most often the main focus when considering applications of
Big Data technology. However, the energy domain is more than suitable also given the …

The Resource Description Framework (RDF) proposed as a part of Semantic Web becomes
an important way of representing data and information on the web. Its intrinsic feature of high …

Relevance feedback in information retrieval is a popular way to learn the user's intents. We
investigate the feasibility and methodology of applying the concept learning in OWL …

Linked data has become an integral part of modernizing cultural heritage collections.
Similarly, the Rijksmuseum has transformed its digital collection into a linked data format. In …

Graph-clustering algorithms are designed to split large-scale Resource Description
Framework (RDF) graphs into subgraphs to improve RDF query performance. However …

Knowledge graphs become an important form of representing data and information. Their
intrinsic ability to express semantics via relations enables development of novel methods of …

Community detection is a task responsible for categorizing nodes of a graph into groups that
share similar features or properties (eg topological structure or node attributes). This is an …