CS Postdoc Profiles

Research Profile

My research interests lay in the intersection of the following areas: information retrieval, text mining and ontology engineering.
I am currently studying automatic techniques to engineer ontologies. The task of constructing ontologies is very time-consuming because it involves a great deal of manual effort. The increasing number of publicly available ontologies is a valid motivation to study the possibility of reusing them. I have explored the use of statistical techniques for domain ontology reuse and concept vocabulary expansion. The goal of my research is to make the development of ontologies more accessible because I believe that their power will only be fully exploited when we are able to provide non-expert users with tools to automatically build and maintain them. This will allow users to create more and better ontologies in the process of developing semantically aware applications. Here are two selected papers about my research work:

• “Using Text Mining to Enrich the Vocabulary of Domain Ontologies,” Mirco Speretta and Susan Gauch, In the Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI’08), Sydney, Australia, pp. 549 – 552.
• “Automatic Ontology Identification for Reuse,” Mirco Speretta and Susan Gauch, In the Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence (WI’07), San Jose, California, USA, pp. 419 – 422.

I completed a master program in Computer Science. While on this program I have explored techniques to create user profiles from search histories. Specifically, I used a text classifier to categorize two sources of information provided by the user: queries submitted to a search engine and snippets selected from the pages of results. The output of the categorization process was used to create the user’s profile. Below are two selected papers about this research work.

• “User Profiles for Personalized Information Access,” Susan Gauch, Mirco Speretta, Aravind Chadralmouli, and Alessandro Micarelli. Book chapter in The Adaptive Web: Methods and Strategies of Web Personalization. Brusilovsky, P., A. Kobsa, W. Nejdl, eds. (2007). Springer Verlag, pp. 54-89.
• “Personalized Search based on User Search Histories,” Mirco Speretta and Susan Gauch, In the Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI’05), Compiegne University of Technology, France, pp. 622 – 628.

Contact Information

E-Mail: EMAIL OBFUSCATED

Phone: 402 309 9474

Categories Posted To:

Databases / Information Retrieval / Data Mining