A three-way merge for XML documents
Proceedings of the 2004 ACM symposium on Document engineering
A Probabilistic XML Approach to Data Integration
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
A content-driven reputation system for the wikipedia
Proceedings of the 16th international conference on World Wide Web
On the expressiveness of probabilistic XML models
The VLDB Journal — The International Journal on Very Large Data Bases
Query evaluation over probabilistic XML
The VLDB Journal — The International Journal on Very Large Data Bases
Proceedings of the 2010 EDBT/ICDT Workshops
Probabilistic XML via Markov Chains
Proceedings of the VLDB Endowment
Efficient query evaluation over probabilistic XML with long-distance dependencies
Proceedings of the 2011 Joint EDBT/ICDT Ph.D. Workshop
Towards a version control model with uncertain data
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management
Uncertain version control in open collaborative editing of tree-structured documents
Proceedings of the 2013 ACM symposium on Document engineering
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This demonstration paper presents a probabilistic XML data merging tool, that represents the outcome of semi-structured document integration as a probabilistic tree. The system is fully automated and integrates methods to evaluate the uncertainty (modeled as probability values) of the result of the merge. It is based on the two-way tree-merge technique and an uncertain data model defined using probabilistic event variables. The resulting probabilistic repository can be queried using a subset of the XPath query language. The demonstration application is based on revisions of the Wikipedia encyclopedia: a Wikipedia article is no longer considered as the latest valid revision but as the merge of all possible revisions, some of which are uncertain.