fct Faculdade de
Ciências e Tecnologia
da Universidade Nova de lisboa


Research and Development Unit for Mechanical and Industrial Engineering


Projects > Vortal Social Apps
Vortal Social Apps

The Vortal Social_Apps project aims to further develop the existing B2B platform used by Vortal and incorporate new technologies and innovative features in the following areas:

•Making a B2B social Network as a foundation for business interaction among users of Vortal Platform.

•Exploiting users’ interactions in the B2B social network as a source of data for improving platform capabilities and users abilities.

•According to distinct factors regarding each user/company usage, user/company procurement performance, qualitative and quantive evaluation, etc, companies could be rated and its position in several features improved.

•Using semantic search techniques to improve search process by understanding users' intents and determining the information from e-catalogues.

•Enable developers to develop custom apps without any modifications to the core. This would enable third party developers to develop a variety of apps that can enhance user experience, and also provide specific features for niche customers.


Partners: UNIDEMI, VORTAL Funding organization: QREN – COMPETE, IAPMEI

Project website: http://vortalsocialapps.vortal.biz Main achievements: Considerable knowledge has been acquired so far in e-Catalogue semantic matching


Start date:01 Jan 2013
End date:31 Dec 2014
Main researcher:António Grilo, Assistant Professor
Research group:Systems Engineering and Management
Associated Attachments:
• Associated Researchers
Researchers From Systems Engineering and Management
Researcher [Download CV]
Invited Assistant Professor [Download CV]
Assistant Professor [Download CV]
• Associated Papers
Paper title
A Vector Space Model Approach for Searching and Matching Product E-Catalogues
Semantic and Syntactic Matching of e-Catalogues using Vector Space Model
Matching heterogeneous e-catalogues in B2B marketplaces using vector space model
© 2017 UNIDEMI
Projeto Estratégico PEst-OE/EME/UI0667/2014