Relaxed Content and Structure Queries over
Heterogeneous Data". (July 2009)
Research Interests
My main research interests are in Databases, specifically Top-k Query
Processing, Data Corroboration, Recommendation Systems, and XML and Web Data Management.
Teaching
Spring 2012: 198:437 Database Systems Implementation.
Fall 2011: 198:336 Principles of Information and Data Management.
Fall 2010, Spring 2009: 198:442 Topics in
Computer Science: Systems Aspects of Information Management
Spring 2010, Spring 2008, Spring 2007, Spring 2006: 198:541 Database Systems.
Fall 2008: 198:673 Web Data Management.
Fall 2006: 198:336 Principles of Information and Data Management.
Spring 2008, Fall 2006, Spring 2006:
198:500 Readings in Data Management,
Light Seminar.
Research (
Publications,
DBLP entry, CV)
Recent Projects:
- PERSEUS, joint with Noémie Elhadad,
- RelaxedQ: Semi-structured Data Scoring: Scoring mechanisms to rank (approximate) structural matches to
semi-structured data queries, and efficient algorithms to identify the best structural matches.
- In Personal Information Management Systems:
Unified Structure and Content Search for
Personal Information Management Systems, Wei Wang, Amélie Marian, Thu D. Nguyen, in
Proceedings of the 14th International Conference on Extending
Database Technology (EDBT'11), 2011.
Flexible Querying of Personal
Information, Amélie Marian, Wei Wang, IEEE Data Engineering
Bulletin. 32(2): 20-27 (2009)
Multi-Dimensional Search for Personal Information Management Systems,
Christopher Peery, Wei Wang, Amélie Marian, Thu D. Nguyen, Proceedings of the 11th International Conference on
Extending Database Technology (EDBT'08), 2008.
Fuzzy Multi-Dimensional
Search in the Wayfinder File System, Christopher Peery, Wei Wang,
Amélie Marian, Thu D. Nguyen, Proceedings of the 24th
International Conference on Data Engineering (ICDE'08), 2008.
- For XML Data:
Structure and Content Scoring for XML,
Sihem Amer-Yahia, Nick Koudas, Amélie Marian, Divesh Srivastava, David Toman, in
Proceedings of the 31st International Conference on Very Large Databases (VLDB '05), 2005.
- URSA: User Reviews Structure Analysis
- Over a Restaurant Review Data Set:
Beyond the Stars: Improving
Rating Predictions using Review Text Content, Gayatree Ganu, Noémie
Elhadad, Amélie
Marian, in Proceedings of the Twelfth
International Workshop on the Web and Databases (WebDB 2009), 2009.
Google Research Award for the proposal:
"URSA:
Understanding User Reviewing Patterns," joint with Noémie Elhadad,
Columbia
Biomedical Informatics.
- Data Corroboration:
- In Join Queries:
Processing Top-k Join Queries, Minji Wu, Laure Berti-Equille, Amélie Marian, Cecilia Procopiuc, Divesh Srivastava, in Proceedings of the 36th International Conference on Very Large Databases (VLDB '10), 2010.
- Over Disagreeing Views:
Corroborating Information from Disagreeing Views
Alban Galland, Serge Abiteboul, Amélie Marian, Pierre Senellart, in Proceedings of the Third ACM International Conference on
Web Search and Data Mining (WSDM'10) 2010.
- Over Web Sources:
A framework for corroborating answers from multiple web sources,
Minji Wu, Amélie Marian, in Information Systems, vol. 36, no. 2, pp. 431-449, April 2011.
Corroborating Answers from Multiple Web Sources, Minji Wu, Amélie
Marian, in Proceedings of the Tenth
International Workshop on the Web and Databases (WebDB 2007), 2007.
Microsoft Live Labs Search Award
for the research proposal "The Truth Is
out There: Aggregating Answers From Multiple Web Sources." (Feature
story)
- For Data Cleaning:
Circumventing Data Quality Problems Using Multiple Join Paths, Yannis Kotidis, Amélie Marian, Divesh Srivastava, in
Proceedings of the First International VLDB Workshop on Clean Databases
(CleanDB), 2006.
Past projects:
- XML Projection a projection operator integrated in the
Galax XQuery implementation project.
- XML Version Management: a change-centric model and diff tools (XyDiff) to identify and represent changes in XML documents.
- Top-k Query Processing: adaptive algorithms to efficiently identify a query's top-k matching objects, for different scenarios (multimedia, web services, XML).
Further details available on our
RANK project page.
Recent Professional Activities
Area PC Vice-Chair, Social Networks and Personal Information track, 27th
IEEE International Conference on Data Engineering (ICDE 2011)
Co-chair of the DBRANK 2010 workshop co-located with ICDE 2010.
Publicity Chair for WSDM 2010
Workshops Co-Chair, 19th International World Wide Web Conference (WWW 2010)
Co-Chair, Very Large Databases (VLDB 2009) Ph.D. Workshop
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Biographical Sketch
Amélie Marian has been an Assistant Professor in the
Computer Science Department at
Rutgers University since September 2005.
Her research interests are in top-k query
processing, XML query optimization, and XML and web data management. Amélie received her Ph.D. in Computer Science from Columbia University in 2005. From March 1999 to August 2000, Amélie was a member of the
VERSO project at INRIA-Rocquencourt. She
received B.S. and M.S. degrees from Université
Paris Dauphine, France in 1998 and 1999, respectively. She is the
recipient of a Microsoft Live Labs Award (2006), two Google Research Awards (2008 and 2010)
and an NSF CAREER award (2009).
Other Resources
VLDB Ph.D. Workshop, August 24th 2009, Lyon, France
(website).
1st Rutgers /
Pierre & Marie Curie Workshop, Paris, France, June 20-21 2006
3rd New York Area DB/IR Day, at
Rutgers, on April 28, 2006
Amelie Marian
