Nathalie Charbel

Research interests

• Semantic Information Retrieval
• Ontologies
• Multimedia Metadata and Content Representation
• Building Information Modeling

Projects

Thesis

Title

Semantic Representation of a Heterogeneous Document Corpus for an Innovative Information Retrieval Model: Application to the Construction Industry

Description

The recent advances of Information and Communication Technology (ICT) have resulted in the development of several industries. Adopting semantic technologies has proven several benefits for enabling a better representation of the data and empowering reasoning capabilities over it, especially within an Information Retrieval (IR) application. This has, however, few applications in the industries as there are still unresolved issues, such as the shift from heterogeneous interdependent documents to semantic data models. 

In this thesis, we address two main challenges. The first one focuses on the representation of the collective knowledge embedded in a heterogeneous document corpus covering both the domain-specific content of the documents, and other structural aspects such as their metadata, their dependencies (e.g., references), etc. The second one focuses on IR over the heterogeneous document corpus while providing users with innovative search results helping them in interpreting these results and tracking cross document dependencies.

Members

Publications

Publications via DBLP

Publications via Google Scholar

Publications via HAL