Zahia Marouf

Work place: EEDIS Laboratory, Djillali Liabes University of Sidi Bel Abbes, Sidi Bel Abbes, 22000, Algeria



Research Interests: Computer systems and computational processes, Information Systems, Data Structures and Algorithms, Algorithmic Information Theory


Zahia Marouf is an Assistant Professor at Faculty of Economics, business studies and management of Mascara University, Algeria. She received her magister degree in computer science from Mascara University in 2010. She also received an engineer degree in computer science in 2006 from the Computer Science Department of Mascara University. Here research interests include collaborative tagging systems, semantic web, ontology engineering, information and knowledge management.

Author Articles
An Integrated Approach to Drive Ontological Structure from Folksonomie

By Zahia Marouf Sidi Mohamed Benslimane

DOI:, Pub. Date: 8 Nov. 2014

Web 2.0 is an evolution toward a more social, interactive and collaborative web, where user is at the center of service in terms of publications and reactions. This transforms the user from his old status as a consumer to a new one as a producer. Folksonomies are one of the technologies of Web 2.0 that permit users to annotate resources on the Web. This is done by allowing users to use any keyword or tag that they find relevant. Although folksonomies require a context-independent and inter-subjective definition of meaning, many researchers have proven the existence of an implicit semantics in these unstructured data. In this paper, we propose an improvement of our previous approach to extract ontological structures from folksonomies. The major contributions of this paper are a Normalized Co-occurrences in Distinct Users (NCDU) similarity measure, and a new algorithm to define context of tags and detect ambiguous ones. We compared our similarity measure to a widely used method for identifying similar tags based on the cosine measure. We also compared the new algorithm with the Fuzzy Clustering Algorithm (FCM) used in our original approach. The evaluation shows promising results and emphasizes the advantage of our approach.

[...] Read more.
Other Articles