Research

Projects

CADS: The CADS (Collaborative Adaptive Data Sharing) platform is a next-generation data sharing platform, where the system interacts with the user at data insertion and querying to effectively annotate and match the shared data. Our idea is create a system that is capable of learn a recommend annotations for new documents and integrate structured and keyword queries for retrieval.

Project Homepage

Publication

  • Eduardo J. Ruiz,Vagelis Hristidis, Panagiotis G. Ipeirotis. Facilitating Document Annotation using Information and Querying Value. Under Review
  • Eduardo J. Ruiz, Vagelis Hristidis, Carlos Castillo, Aristides Gionis, Alejandro Jaimes. Correlating Financial Time Series with Micro-Blogging Activity. ACM International Conference on Web Search and Data Mining (WSDM) 2012
  • Vagelis Hristidis, Eduardo Ruiz, Alejandro Hernández, Fernando Farfán, Ramakrishna Varadarajan. PatentsSearcher: A Novel Portal to Search and Explore Patents. 3rd International Workshop on Patent Information Retrieval, at ACM CIKM 2010
  • Vagelis Hristidis, Eduardo Ruiz. CADS: A Collaborative Adaptive Data Sharing Platform. VLDB Workshop on Personalized Access, Profile Management, and Context Awareness in Databases (PersDB 2009).
  • Edna Ruckhaus, Eduardo Ruiz y Maria-Esther Vidal. Query Evaluation and Optimization in the Semantic (Extended Version). Theory and Practice of Logic Programming Journal. Cambridge Press.
  • Edna Ruckhaus, Eduardo Ruiz y Maria-Esther Vidal. OnEQL: An Ontology Efficient Query Language Engine for the SemanticWeb. Workshop on the Application of Logic Programming to the SemanticWeb and Semantic Web Services 2007.
  • Edna Ruckhaus, Eduardo Ruiz y Maria-Esther Vidal. Query Evaluation and Optimization in the Semantic Web. Workshop on the Application of Logic Programming to the Semantic Web and Semantic Web Services 2006.CEUR-Proceedings, Vol 196. Page 16-33
  • Soraya Abad Mota, Eduardo Ruiz. Experiments in Information Extraction. IRMA 2006. Conference Proceedings