What is CCIPX?
CCIPX is a collaborative research project between Institut Mines-Telecom, Hanoi University of Science and Technology, the National University of Singapore. CCIPX is funded by the French Ministry of Foreign Affairs under the STIC-Asia program.
With the increasing difficulty in making transparent decisions on a global scale, organizations turn to resources made available by the information infrastructure: Web sources and crowds. Yet, no tool is readily available to support the task of collecting, integrating, annotating, validating, analyzing, and querying such heterogeneous and disparate data. For a practical example of application, imagine a tool that would allow the creation and maintenance of an open database of information about maritime data (ships, harbors, international traffic, etc.) used by industrials and researchers for data analysis. Data about countries, harbors, schedules, etc. could be gathered from existing Web sources and completed, updated, and evaluated by individuals (in a Wikipedia-like model). The collection, annotation, and validation of data either collected from autonomous online resources or from crowds for the creation of curated database requires data models, tools, and techniques that offer the flexibility necessary to manipulate semi-structured and uncertain data. This is the idea underlying probabilistic XML data models that store in a compact manner semi-structured information together with probabilistic assessment of the uncertainty in the data.
In this project we plan to study the requirements that the application scenario described above puts on the choice of the appropriate probabilistic XML model. We plan to design and implement algorithms, techniques, and tools for the creation, extraction, integration, annotation, validation, analysis, and search of probabilistic XML data. The objective is to design and implement a prototype platform for the creation and maintenance of databases curated by experts and by crowds.
Nguyen Hong Phuong
Get a Sample for a Discount -- Sampling-Based XML Data Pricing
R. Tang, A. Amarilli, S. Bressan, P. Senellart, In DEXA, Munich, Germany, September 2014.
Monitoring moving objects using uncertain Web data
M. L. Ba, S. Montenez, T. Abdessalem, P. Senellart, In SIGSPATIAL, Dallas, USA, November 2014. Demonstration
Gestion de versions incertaines de documents XML.
M. L. Ba, T. Abdessalem, P. Senellart, Ingenierie des Systemes d'Information, 19(4), pp. 9-34, 2014.
Integration of Web Sources under Uncertainty and Dependencies using Probabilistic XML
M. Lamine Ba, S.Montenez, R.Tang, T. Abdessalem, in Uncrowd, Bali, Indonesia, April 2014.
Conditioning Probabilistic Relational Data with Referential Constraints
R. Tang, D. Shao, M. Lamine Ba, H. Wu, in Uncrowd, Bali, Indonesia, April 2014.
Probabilistic Models for Uncertain Data (invited keynote)
P. Senellart, in SoICT, Da Nang, Vietnam, December 2013.
Semantics-based keyword search over XML and relational databases (invited keynote)
T. Ling, T. Le, Z. Zeng, in SoICT, Da Nang, Vietnam, December 2013.
Data Haggling: A Pricing Scheme for Trading Data Quality for a Discount in Data Market Places (invited keynote)
R. Tang, S. Bressan, D. Shao, in ICTS, Bali, Indonesia, June 2013.
The Price Is Right -- Models and Algorithms for Pricing Data
R. Tang, H. Wu, Z. Bao, S. Bressan, P. Valduriez, in DEXA, Prague, Czech Republic, August 2013.
What you Pay for is What you Get
R. Tang, D. Shao, S. Bressan, P. Valduriez, in DEXA, Prague, Czech Republic, August 2013.
Merging Uncertain Multi-Version XML Documents
M. L. Ba, T. Abdessalem, and P. Senellart, in DChanges, Florence, Italy, September 2013.
Uncertain Version Control in Open Collaborative Editing of Tree-Structured Documents
M. L. Ba, T. Abdessalem, and P. Senellart, in DocEng, Florence, Italy, September 2013.