Abdeslem DENNAI

Work place: University of BECHAR, ALGERIA

E-mail: De_selam@yahoo.fr

Website:

Research Interests: World Wide Web, Analysis of Algorithms, Mathematics of Computing, Theory of Computation, Models of Computation

Biography

Abdeslem DENNAI is an Associate Professor at the Computer Science Department of MOHAMMED TAHRI University – BECHAR - ALGERIA. He received his PhD degree in computer science from SIDI BEL ABBES University, in 2015. He also received the diploma of engineering in Computer Science from the University of DJILLALI LIABES – SIDI BEL ABBES - Algeria in 1994. He received the diploma of teaching in Computer Science from the University of BECHAR - Algeria, in 2008. He is currently Member of Research Team 'Service Oriented Computing' at the Evolutionary Engineering and Distributed Information Systems Laboratory, EEDIS. His research interests are in the field of semantic web, web applications and ontology.

Author Articles
Relevant XML Documents - Approach Based on Vectors and Weight Calculation of Terms

By Abdeslem DENNAI Mohammed Yacine DENNAI Sidi Mohammed BENSLIMANE

DOI: https://doi.org/10.5815/ijitcs.2016.11.03, Pub. Date: 8 Nov. 2016

Three classes of documents, based on their data, circulate in the web: Unstructured documents (.Doc, .html, .pdf ...), semi-structured documents (.xml, .Owl ...) and structured documents (Tables database for example). A semi-structured document is organized around predefined tags or defined by its author.
However, many studies use a document classification by taking into account their textual content and underestimate their structure. We attempt in this paper to propose a representation of these semi-structured web documents based on weighted vectors allowing exploiting their content for a possible treatment. The weight of terms is calculated using: The normal frequency for a document, TF-IDF (Term Frequency - Inverse Document Frequency) and logic (Boolean) frequency for a set of documents. To assess and demonstrate the relevance of our proposed approach, we will realize several experiments on different corpus.

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A New Measure of the Calculation of Semantic Distance between Ontology Concepts

By Abdeslem DENNAI Sidi Mohammed BENSLIMANE

DOI: https://doi.org/10.5815/ijitcs.2015.07.06, Pub. Date: 8 Jun. 2015

Semantic similarity calculation models are found in many applications, with the aim to give additional knowledge to reason about their data. The choice of a similarity measure is quite crucial for a successful implementation of reasoning. In this work, we present an update of similarity calculation presented by Wu and Palmer which is considered the fastest in time generation of similarity. The results obtained show that the measure produced provides a significant improvement in the relevance of the values produced for the similarity of two concepts in ontology.

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Semantic Indexing of Web Documents Based on Domain Ontology

By Abdeslem DENNAI Sidi Mohammed BENSLIMANE

DOI: https://doi.org/10.5815/ijitcs.2015.02.01, Pub. Date: 8 Jan. 2015

The first phase of reverse engineering of web-oriented applications is the extraction of concepts hidden in HTML pages including tables, lists and forms, or marked in XML documents. In this paper, we present an approach to index semantically these two sources of information (HTML page and XML document) using on the one hand, domain ontology to validate the extracted concepts and on the other hand the similarity measurement between ontology concepts with the aim of enrichment the index. This approach will be conceived in three steps (modeling, attaching and Enrichment) and thereafter, it will be realized and implemented by examples. The obtained results lead to better re-engineering of web applications and subsequently a distinguished improvement in the web structuring.

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Other Articles