Le RMIT est l’un des partenaires privilégiés de l’EPITECH. Les étudiants de 5ème année peuvent y effectuer une année d’étude pour obtenir un Master of Business in Information Technology.
Le 12 novembre dernier, l’EPITECH recevait Isaac Balbin, Associate Professor of Database Systems, Director of Recruitment, Relations & Development School of CompSci & IT.
Suite à sa visite, Isaac a envoyé deux professeurs du RMIT, Andrew Turpin et James Thom, pour une série de conférences anglophones les 6 et 16 avril à l’EPITECH dont voici les programmes :
Conférence 1 : How do Search Engines Work? (Speaker: Andrew Turpin)
We have all become very accustomed to using search engines like Google, but how is it possible to find 10 pages amongst 80 million Web pages in less than a second? This talk will give an overview of the algorithms and data structures used to make a search engines work, and then focus on the work of one of our PhD students on the algorithms for generating short summaries of returned pages: snippets.
A propos d’Andrew Turpin
Associate Professor Andrew Turpin is Head of the Information Storage, Analysis and Retrieval Discipline at the School of Computer Science and Information Technology, RMIT University, Melbourne Australia, and an ARC Queen Elizabeth II Research Fellow. He completed his PhD at The University of Melbourne on data compression in 1999, subsequently spent several years at Devers Eye Institute and Oregon Health and Sciences University in Portland Oregon, then four more years after that teaching computer science at Curtin University of Technology in Perth. After a short time as Senior Lecturer at The University of Melbourne, he has spent the last 4.5 years at RMIT as part of The Search Engine Group. His recent research interests are in evaluating information retrieval engines, algorithms for pattern searching, and computational methods for diagnosing and monitoring glaucoma.
Conference 2: User evaluation studies for information retrieval and database research (Speaker : James Thom)
The Cranfield methodology is the basis for the evaluation of many major international collaborative retrieval experiments (such as TREC, TRECVID, INEX, and CLEF), and requires user assessments on the relevance of answers returned by retrieval systems. In this talk I will present user evaluation studies in three quite different contexts: database schema matching, filtering of search engine results, and mediated enterprise search. In the first study, users identify matches between pairs of database schemas to support the evaluation of the effectiveness of using a Star ontology to represent schemas in data warehouse. The user study on filtering of educational resources shows that assessment criteria other than relevance can be valuable in specialized retrieval environments. The user study on enterprise search quantifies the cost and benefit to an information service provider of investing in mediated enterprise search.
A propos de James Thom
James Thom is an Associate Professor in the School of Computer Science and IT, at RMIT University in Melbourne, Australia. He received his PhD from the University of Melbourne in 1993, with a thesis in the area of document database systems. His research interests encompass mostly databases and information retrieval, and he has published 75 refereed papers in journals and conferences, including publications in ACM Transactions on Database
Systems, ACM Transactions on the Web, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Multimedia, Journal of the American Society for Information Science, Information Processing and Management, and Information Retrieval.