Contact InfoFaculty of Computer Science
Free University of Bozen-Bolzano
Dominikanerplatz 3- Piazza Domenicani 3 (office 2.16)
39100 Bozen-Bolzano, Italy
I am a member of the KRDB Research Centre for Knowledge and Data at the Free University of Bozen-Bolzano in Italy. My research activities are focused on developing new ranking models and diversification strategies for entity search.
Current Research Projects
MOUNA: Mining Opinions to Unveil Neglected Arguments
The goal of this project is to diversify search results of queries about any topic that can be controversial. Examples include looking for different versions about of the same breaking news or any topic where people can have different view points such as "Greece bailout", "Obama's Second Term", "Abortion" or "human evolution". Users seeking for such type of knowledge are not necessarily interested in a specific way of looking at a given issue, but possibly learning about that topic and interested in finding all different view points. Thus, it is important to focus on how best to produce a set of diversified results that cover different sentiments and arguments showing for which reason a given view point was given. Links: Talk at Politics, Elections and Data Workshop, PLEAD, CIKM2012, Demo
RARE: Reducing Antimicrobial Resistance in Bolzano
The goal of this project is to use data mining techniques to analyze the growing number of available data about past patient therapies and discover possible correlations among data instances that can be used to improve the effectiveness of antibiotics. The project is carried out in tight collaboration with the Antimicrobial Management Program from Bolzano Hospital.
Past Research Projects
K2: Knowledge Kaleidoscope
I was involved in the K2 project, a part of the YAGO-NAGA project at Max-Planck Institute for Informatics in Saarbruecken/Germany. The goal of this project is to populate knowledge bases with photos of named entities, with high precision, high recall, and diversity of photos for a given entity. The difficulty of solving this problem comes from the fact that photos of celebrities are abundant on the Internet, however they are much harder to retrieve for less popular entities, particularly rare and ambiguous entities, such as notable computer scientists or regionally interesting churches.
SAPIR: Search In Audio Visual Content Using Peer-to-peer IR
SAPIR is a European project that extends the power of web searches beyond centralized text and metadata searches to include distributed audio-visual content. Today, Web searches are dominated by search giants such as Google, Yahoo, or MSN that deploy a centralized approach to indexing and utilize text-only indexes enriched by page rank algorithms. Supporting real content-based, audio-visual search requires media-specific understanding and extremely high CPU utilization, which would not scale in today's centralized solutions. SAPIR aims at breaking this technological barrier by developing a large-scale, distributed P2P architecture that will make it possible to search audio-visual content using the query-by-example paradigm.