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ProTDB
[chapter]
2002
VLDB '02: Proceedings of the 28th International Conference on Very Large Databases
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storage size in the database exceeded available RAM) Outline
XML Constructs
Probabilistic Model
Probabilistic Query Evaluation
Efficiency
Related Work
Efficiency
28th International ...
Compare against the non-probabilistic version of the queries Machine specs and data characteristics: Pentium 4 @ 1.5 GHz with 256 MB RAM XML file was approximately 200 MB and had over 3,000,000 nodes ( ...
doi:10.1016/b978-155860869-6/50063-9
dblp:conf/vldb/NiermanJ02
fatcat:5k256fn525cxxaofcxerkabzaq
Query ranking in probabilistic XML data
2009
Proceedings of the 12th International Conference on Extending Database Technology Advances in Database Technology - EDBT '09
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In this paper, we study PXML-RANK query, (Q, k), which is to rank top-k probabilities of the answers of a twig query Q in probabilistic XML (PXML) data. ...
Twig queries have been extensively studied as a major fragment of XPATH queries to query XML data. ...
[16] first introduce a simple probabilistic XML model, ProTDB, which is a probabilistic tree database. Hung et al. ...
doi:10.1145/1516360.1516380
dblp:conf/edbt/ChangYQ09
fatcat:4d22glgqsbbwpleria5wtcjbqq
On the Connections between Relational and XML Probabilistic Data Models
[chapter]
2013
Lecture Notes in Computer Science
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interesting open issues about the connections between relational and XML probabilistic data models. ...
In probabilistic XML models, XML trees are augmented with nodes that specify probability distributions over their children. ...
The encodings will be given in the probabilistic XML data models of Section 2.2. ...
doi:10.1007/978-3-642-39467-6_13
fatcat:z4ynzhkrp5cshgie2ew4kgbhdm
Probabilistic XML: Models and Complexity
[chapter]
2013
Studies in Fuzziness and Soft Computing
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Beyond representation, probabilistic XML systems are expected to support data management in a way that properly reflects the uncertainty. ...
In essence, a probabilistic XML document is a compact representation of a probability distribution over ordinary XML documents. ...
., frequent items, correlations, summaries of data values, etc.) in probabilistic XML documents. ...
doi:10.1007/978-3-642-37509-5_3
fatcat:lcoqkx7euvfb3dietqvb6v3qva
PEPX
2006
Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06
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In contrast, previous work on probabilistic XML data requires accessing all the nodes in a pattern match. ...
In this paper, we argue that physical models are needed in addition to the existing conceptual models for probabilistic XML data in order to achieve query evaluation efficiency. ...
doi:10.1145/1183614.1183761
dblp:conf/cikm/LiSC06
fatcat:2mjodpu4fnc5nmscrugwl2n6ey
IMPrECISE: Good-is-good-enough data integration
2008
2008 IEEE 24th International Conference on Data Engineering
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IMPrECISE is an XQuery module that adds probabilistic XML functionality to an existing XML DBMS, in our case MonetDBlXQuery. ...
We demonstrate probabilistic XML and data integration functionality of IMPrECISE. ...
A formal definition of the probabilistic XML data model is given in [2] . ...
doi:10.1109/icde.2008.4497618
dblp:conf/icde/KeijzerK08
fatcat:ojgy7vqthvg3xgq4ensssq3sqm
ELCA Evaluation for Keyword Search on Probabilistic XML Data
[article]
2011
arXiv
pre-print
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XML data. ...
In this paper, we investigate how to evaluate ELCA results for keyword queries on probabilistic XML documents. ...
In the XML context, the first probabilistic XML model is ProTDB [2] . In ProTDB, two new types of nodes are added into a plain XML document. ...
arXiv:1110.2890v1
fatcat:ljlfekkrnjclroky7e6ctuurta
ELCA evaluation for keyword search on probabilistic XML data
2012
World wide web (Bussum)
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XML data. ...
In this paper, we investigate how to evaluate ELCA results for keyword queries on probabilistic XML documents. ...
In the XML context, the first probabilistic XML model is ProTDB [2] . In ProTDB, two new types of nodes are added into a plain XML document. ...
doi:10.1007/s11280-012-0166-4
fatcat:ncbwzqdra5b6nhwopjichibxwq
Modeling and querying probabilistic XML data
2009
SIGMOD record
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Introduction We survey recent results on modeling and querying probabilistic XML data. ...
In [2, 24] , various aspects of managing probabilistic XML are studied. ...
doi:10.1145/1519103.1519115
fatcat:erad6bgntzdehaogswfv7cfm2y
A Hybrid Algorithm for Finding Top-k Twig Answers in Probabilistic XML
[chapter]
2011
Lecture Notes in Computer Science
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Preliminaries
Probabilistic XML Model Nierman et al. proposed the Probabilistic Tree Data Base(ProTDB) [4] to manage uncertain data represented in XML. ...
Conclusions In this paper, we addressed the problem of finding top-k matching of a twig pattern against probabilistic XML data. ...
doi:10.1007/978-3-642-20149-3_38
fatcat:kwitzu2vina6bnucbdvreluaym
A Framework for Management of Semistructured Probabilistic Data
2005
Journal of Intelligent Information Systems
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Subrahmanian for helpful comments and the students working in the Bayesian Advisor group for their input at various stages, and their fabulous energy. ...
ProTDB [16] extends the XML data model by associating a probability to each element with the modification of regular non-probabilistic DTDs. ...
There are two approaches to semistructured probabilistic data management that are closely related to ours: the ProTDB [16] and the PIXml [12] frameworks. ...
doi:10.1007/s10844-005-0197-8
fatcat:phcwbqonqbcyrhfy56ijslnypi
Top-k keyword search over probabilistic XML data
2011
2011 IEEE 27th International Conference on Data Engineering
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Despite the proliferation of work on XML keyword query, it remains open to support keyword query over probabilistic XML data. ...
In this paper, we firstly define the new problem of studying top-k keyword search over probabilistic XML data, which is to retrieve k SLCA results with the k highest probabilities of existence. ...
[2] first introduced a probabilistic XML model, ProTDB, with the probabilistic types IND -independant and MUX -mutuallyexclusive. Hung et al. ...
doi:10.1109/icde.2011.5767875
dblp:conf/icde/LiLZW11
fatcat:yielg2b3pbcydbyi32b6nrdiri
Probabilistic interval XML
2007
ACM Transactions on Computational Logic
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We propose the Probabilistic Interval XML (PIXml for short) data model in this paper. Using this data model, users can express probabilistic information within XML markups. ...
Interest in XML databases has been growing over the last few years. In this paper, we study the problem of incorporating probabilistic information into XML databases. ...
Such programs usually return probabilistic information. If a company wanted to export this data into an XML format, they would need methods to store probabilistic data in XML. ...
doi:10.1145/1276920.1276926
fatcat:qz5wqex6efg2rjuxd5noujf6oq
Probabilistic Interval XML
[chapter]
2002
Lecture Notes in Computer Science
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We propose the Probabilistic Interval XML (PIXml for short) data model in this paper. Using this data model, users can express probabilistic information within XML markups. ...
Interest in XML databases has been growing over the last few years. In this paper, we study the problem of incorporating probabilistic information into XML databases. ...
Such programs usually return probabilistic information. If a company wanted to export this data into an XML format, they would need methods to store probabilistic data in XML. ...
doi:10.1007/3-540-36285-1_24
fatcat:gcszpnmevfdhjem3v7vzr7gqhi
Quasi-SLCA based Keyword Query Processing over Probabilistic XML Data
[article]
2013
arXiv
pre-print
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In this paper, we investigate probabilistic threshold keyword queries (PrTKQ) over XML data, which is not studied before. ...
The probabilistic threshold query is one of the most common queries in uncertain databases, where a result satisfying the query must be also with probability meeting the threshold requirement. ...
[7] first introduced a probabilistic XML model, ProTDB, with the probabilistic types INDindependent and MUXmutually-exclusive. Hung et al. ...
arXiv:1301.2362v1
fatcat:fpmgvejcdbcqrhcx2ak6oqknwq
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