Incomplete Information in Relational Databases
Journal of the ACM (JACM)
The reliability of queries (extended abstract)
PODS '95 Proceedings of the fourteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
A probabilistic relational algebra for the integration of information retrieval and database systems
ACM Transactions on Information Systems (TOIS)
The Management of Probabilistic Data
IEEE Transactions on Knowledge and Data Engineering
The Theory of Probabilistic Databases
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
Semistructured Probabilistic Databases
SSDBM '01 Proceedings of the 13th International Conference on Scientific and Statistical Database Management
A Probabilistic XML Approach to Data Integration
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Update semantics for incomplete databases
VLDB '85 Proceedings of the 11th international conference on Very Large Data Bases - Volume 11
ProTDB: probabilistic data in XML
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Efficient query evaluation on probabilistic databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Management of probabilistic data: foundations and challenges
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
On the complexity of managing probabilistic XML data
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Matching twigs in probabilistic XML
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Query efficiency in probabilistic XML models
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Incorporating constraints in probabilistic XML
Proceedings of the twenty-seventh ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Annotated XML: queries and provenance
Proceedings of the twenty-seventh ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
ACM SIGACT News
Querying web-based applications under models of uncertainty
Proceedings of the VLDB Endowment
TOP-K projection queries for probabilistic business processes
Proceedings of the 12th International Conference on Database Theory
Query ranking in probabilistic XML data
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Modeling and querying probabilistic XML data
ACM SIGMOD Record
Running tree automata on probabilistic XML
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Incorporating constraints in probabilistic XML
ACM Transactions on Database Systems (TODS)
Information integration with uncertainty
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
On the expressiveness of probabilistic XML models
The VLDB Journal — The International Journal on Very Large Data Bases
Qualitative effects of knowledge rules and user feedback in probabilistic data integration
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
Efficient processing of twig pattern matching in fuzzy XML
Proceedings of the 18th ACM conference on Information and knowledge management
Query Evaluation on Probabilistic RDF Databases
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
Proceedings of the 2010 EDBT/ICDT Workshops
Aggregate queries for discrete and continuous probabilistic XML
Proceedings of the 13th International Conference on Database Theory
Proceedings of the 13th International Conference on Database Theory
Information Sciences: an International Journal
On models and query languages for probabilistic processes
ACM SIGMOD Record
Optimal top-k query evaluation for weighted business processes
Proceedings of the VLDB Endowment
Probabilistic data: a tiny survey
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Queries and materialized views on probabilistic databases
Journal of Computer and System Sciences
Journal of the ACM (JACM)
A hybrid algorithm for finding top-k twig answers in probabilistic XML
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
Edit distance between XML and probabilistic XML documents
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
Capturing continuous data and answering aggregate queries in probabilistic XML
ACM Transactions on Database Systems (TODS)
Keywords filtering over probabilistic XML data
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Information Processing and Management: an International Journal
ELCA evaluation for keyword search on probabilistic XML data
World Wide Web
Querying and ranking incomplete twigs in probabilistic XML
World Wide Web
Top-k queries over web applications
The VLDB Journal — The International Journal on Very Large Data Bases
Formal approach for reengineering fuzzy XML in fuzzy object-oriented databases
Applied Intelligence
Efficient processing of twig query with compound predicates in fuzzy XML
Fuzzy Sets and Systems
Storing and querying fuzzy XML data in relational databases
Applied Intelligence
Dynamically querying possibilistic XML data
Information Sciences: an International Journal
Formal transformation from fuzzy object-oriented databases to fuzzy XML
Applied Intelligence
| Hi-index | 0.00 |
We present in this paper a new model for representing probabilistic information in a semi-structured (XML) database, based on the use of probabilistic event variables. This work is motivated by the need of keeping track of both confidence and lineage of the information stored in a semi-structured warehouse. For instance, the modules of a (Hidden Web) content warehouse may derive information concerning the semantics of discovered Web services that is by nature not certain. Our model, namely the fuzzy tree model, supports both querying (tree pattern queries with join) and updating (transactions containing an arbitrary set of insertions and deletions) over probabilistic tree data. We highlight its expressive power and discuss implementation issues.