Mark James Carman

Lecturer
Caulfield School of Information Technology
Monash University

email:
phone: +61 3 9903 4329

office: H7.04, Monash University Caulfield Campus
900 Dandenong Road, Caulfield East, Victoria

postal address: PO Box 197, Caulfield East, Victoria 3145, Australia

About me

I am a Lecturer in the Faculty of Information Technology at Monash University in Melbourne, Australia. I do research in a number of different areas including: Currently I work primarily on algorithms for discovering and personalizing access to blogs and other types of user-generated content. These algorithms combine ideas from machine learning, distributed information retrieval and data integration. In particular I make use of Bayesian modeling techniques such as language modeling and topic modeling.

Prior to moving back to Australia, I was a postdoc researcher in the Information Retrieval group within the Informatics Faculty at the University of Lugano, Switzerland. Before that I studied in the Information Integration Group at the Information Sciences Institute of USC and also at the Fondazione Bruno Kessler (formerly ITC-irst). My PhD thesis is from the University of Trento. For my thesis, I developed a system that learns relational descriptions of web sources, with the aim of automatically integrating them into existing mashups.

Publications

Below are some selected publications of mine. If you can't find the paper you're after please send me a .
Improving social bookmark search using personalised latent variable language models
Morgan Harvey, Mark James Carman, and Ian Ruthven.
4th ACM International Conference on Web Search and Data Mining, (WSDM 2011), 2011.
A multi-collection latent topic model for federated search
Mark Baillie, Mark Carman, and Fabio Crestani.
Information Retrieval, (to appear).
Towards query log based personalization using topic models
Mark James Carman, Fabio Crestani, Morgan Harvey, and Mark Baillie.
19th ACM Conference on Information and Knowledge Management, (CIKM 2010), 2010.
Ranking social bookmarks using topic models
Morgan Harvey, Mark James Carman, and Ian Ruthven.
19th ACM Conference on Information and Knowledge Management, (CIKM 2010), 2010.
Proximity Based Opinion Retrieval
Shima Gerani, Mark Carman, Fabio Crestani.
33rd Annual International ACM SIGIR Conference (SIGIR 2010), 2010.
Tripartite Hidden Topic Models for Personalised Tag Suggestion
Morgan Harvey, Mark Baillie, Ian Ruthven, and Mark Carman.
32nd European Conference on IR Research (ECIR 2010), 2010.
Statistics of Online User-Generated Short Documents
Giacomo Inches, Mark Carman and Fabio Crestani.
32nd European Conference on IR Research (ECIR 2010), 2010. (poster)
Piloted Search and Recommendation with Social Tag Cloud-Based Navigation
Cedric Mesnage and Mark Carman.
1st Workshop On Music Recommendation And Discovery (WOMRAD) at ACM RecSys, 2010.
A Statistical Comparison of Tag and Query Logs
Mark Carman, Mark Baillie, Robert Gwadera and Fabio Crestani.
32nd Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR 2009), 2009.
Blog Distillation using Random Walks
Mostafa Keikha, Mark Carman and Fabio Crestani.
32nd Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR 2009), 2009. (poster)
A Topic-based Measure of Resource Description Quality for Distributed Information Retrieval
Mark Baillie, Mark Carman and Fabio Crestani.
31st European Conference on Information Retrieval (ECIR 2009), Toulouse, France, 2009
Investigating Learning Approaches for Blog Post Opinion Retrieval
Shima Gerani, Mark Carman and Fabio Crestani.
31st European Conference on Information Retrieval (ECIR 2009), Toulouse, France, 2009
Tag Data and Personalized Information Retrieval
Mark J. Carman, Mark Baillie and Fabio Crestani.
CIKM 2008 Workshop on Search in Social Media (SSM 2008), 2008
Exploiting data semantics to discover, extract, and model web sources
José Luis Ambite, Craig A. Knoblock, Kristina Lerman, Anon Plangprasopchok, Thomas Russ, Cenk Gazen, Steven Minton and Mark Carman.
First International Workshop on Semantic Aspects in Data Mining (SADM'08), 2008
Beyond the Elves: Making Intelligent Agents Intelligent
Craig A. Knoblock, José Luis Ambite, Mark Carman, Matthew Michelson, Pedro Szekely and Rattapoom Tuchinda.
AI Magazine, 2008
Learning Semantic Definitions of Online Information Sources
Mark James Carman and Craig A. Knoblock.
Journal of Artificial Intelligence Research (JAIR), volume 30, pages 1-50, 2007
Learning Semantic Descriptions of Web Information Sources
Mark James Carman and Craig A. Knoblock.
Twentieth International Joint Conference on Artificial Intelligence (IJCAI-07). Hyderabad, India, January 2007
Learning Semantic Definitions of Information Sources on the Internet
Mark James Carman.
Doctorate Thesis, (Advisors: Paolo Traverso and Craig A. Knoblock),
Department of Information and Communication Technologies, University of Trento, August 2006
Inducing Source Descriptions for Automated Web Service Composition
Mark James Carman and Craig A. Knoblock.
AAAI 2005 Workshop on Exploring Planning and Scheduling for Web Services, Grid, and Autonomic Computing. 2005
Web Service Composition as Planning
Mark Carman, Luciano Serafini and Paolo Traverso.
ICAPS'03 Workshop on Planning for Web Services, Trento, Italy, June 2003
Planning for Web Services the Hard Way
Mark Carman and Luciano Serafini.
SAINT'03 Workshop on Service Oriented Computing, Orlando, USA, January 2003
Towards an Economy-Based Optimisation of File Access and Replication on a Data Grid
Mark Carman, Floriano Zini, Luciano Serafini and Kurt Stockinger.
International Workshop on Agent based Cluster and Grid Computing at International Symposium on Cluster Computing and the Grid (CCGrid'2002), 2002
A Request Language for Web-Services based on Planning and Constraint Satisfaction
M. Aiello, M. Papazoglou, J. Yang, M. Carman, M. Pistore, L. Serafini and P. Traverso.
VLDB workshop on Technologies for E-Services (TES), 2002

Software and Blogs

EIDOS (Efficiently Inducing Definitions for Online Sources) is a system for learning semantic descriptions of online information sources (such as these RSS feeds). The descriptions are used to automatically integrate the sources into (mediator based) information integration systems. A complete description of the purpose and functionality of the system can be found in my thesis. You can also have a look at the slides I presented at my defense. The software can be downloaded from the ISI website. It is royalty-free for research purposes and comes with all the source code. Here is the latest documentation. Feel free to contact me with installation questions.

I have a research blog, which I post my papers, presentations and thoughts to occasionally. Otherwise, I recommend the blogs of a number of other computer science researchers: Greg Linden, Matthew Hurst, Paolo Massa, Jonathan Elsas, Alon Halevy, William Cohen, Panos Ipeirotis.

A very brief Bio

I grew up in Adelaide, Australia.

In 1995, I received an Australian Student's Prize upon graduating from high school.

In 1998, I went on exchange to the University of Stuttgart in Germany, where I met my wife Daniela (who is from Piacenza, Italy).

In 1999, I received a Bachelor's Degree in Electrical & Electronic Engineering and Arts from the University of Adelaide.

In 2000, I worked for the E-Commerce division of Telstra Research Labs in Sydney.

In 2001, I moved to Trento in Italy to work at IRST (now Fondazione Bruno Kessler) in the Automated Reasoning Systems division.

In 2005, I moved to Los Angeles to work at the Information Sciences Institute of the University of Southern California.

In 2006, I received a Ph.D. in Computer Science from the University of Trento in Italy.

In 2007, I started a PostDoc position in the Informatics Faculty of the University of Lugano in Switzerland.

In November 2010, I moved back to Australia, but this time to Melbourne, to take up a Lecturer position at Monash University.



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