Karim Kamoun

PhD in Computer Science
University of Manouba, Tunisia

Aims and Scope

The current World Wide Web enables an easy, instant access to a huge amount of online data. Nevertheless, the content on the Web is typically for human use, and is not tailored to be machine-processed. the Semantic Web was mentioned by his founder Tim Berners-Lee as an extension to the Web 2.0 where machine not only manipulate content but also process its meaning too, which will unleash all kinds of applications and new possibilities. The Semantic Web has grown into a mature field of research; it’s is currently switching from an emergent trend to a technology used in complex real-world applications.In this track of ICEDEc 2019 we are looking for fundamental research, innovative technology, and contributions concerning semantic web and the intersection with other scientific disciplines. While we also welcome work that refers to the W3C Semantic Web recommendations (e.g., RDF, OWL, SPARQL, etc.).

List of tracks
  •   Ontology-based Approaches for modelling, mapping, evolution and assessing
  •   Database, information retrieval, artificial intelligence techniques for the Semantic Web
  •   Machine learning and data mining methods for the Semantic Web
  •   Big data, linked data and ontologies
  •   Semantic Web for e-business
  •   Semantic social network mining, analysis, representation, and management
  •   Semantic web services