Research

My research interests include databases and semantic technologies for search, ranking and analytics. My dissertation research is on the question of: How we can exploit semantic relationships of named-entities to improve relevance in ranking of documents?

Relationship-based Ranking

Demo, type as query the name of a person, organization, or university:

Semantic Discovery

The Semantic Discovery project focuses on semantic technologies for discovery and processing of complex relationships, which we call semantic associations. My direct contributions include:

• Context-aware semantic association ranking (Ranking, Aleman-Meza et al., 2003, Aleman-Meza et al., 2005)
• A large ontology with population base extracted from publicly available sources (SWETO Webpage and SWETO, Aleman-Meza et al., 2004), and more recently, SwetoDblp spin-off from SWETO but focusing on Computer Science Publications and Authors from DBLP (Aleman-Meza et al., (under review), SwetoDblp webpage, some of my notes about SwetoDblp)
• Relevance of heterogeneous documents, an ontology-based approach (Insider Threat, Aleman-Meza et al., 2005)
• Semantic analytics in social networks (Conflict of Interest Detection, Aleman-Meza et al., 2006)

Previous Projects (show/hide)