Converting Probabilistic Relational Data to Probabilistic XML Data Tree

2010 ◽  
Vol 9 (8) ◽  
pp. 1706-1712
Author(s):  
Jianwei Wang ◽  
Zhongxiao Hao
Keyword(s):  
Relational Data ◽  
Xml Data ◽  
Probabilistic Xml

scholarly journals Keyword Search over Probabilistic XML Documents Based on Node Classification

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Yue Zhao ◽  
Ye Yuan ◽  
Guoren Wang
Keyword(s):  
Keyword Search ◽  
Possible World ◽  
Xml Data ◽  
Fast Learning ◽  
Probabilistic Xml ◽  
Learning Speed ◽  
Xml Document ◽  
Probability Threshold ◽  
Node Classification ◽  
Learning Machine

This paper describes a keyword search measure on probabilistic XML data based on ELM (extreme learning machine). We use this method to carry out keyword search on probabilistic XML data. A probabilistic XML document differs from a traditional XML document to realize keyword search in the consideration of possible world semantics. A probabilistic XML document can be seen as a set of nodes consisting of ordinary nodes and distributional nodes. ELM has good performance in text classification applications. As the typical semistructured data; the label of XML data possesses the function of definition itself. Label and context of the node can be seen as the text data of this node. ELM offers significant advantages such as fast learning speed, ease of implementation, and effective node classification. Set intersection can compute SLCA quickly in the node sets which is classified by using ELM. In this paper, we adopt ELM to classify nodes and compute probability. We propose two algorithms that are based on ELM and probability threshold to improve the overall performance. The experimental results verify the benefits of our methods according to various evaluation metrics.

Data Mining on XML Data

2011 ◽  
pp. 506-510
Author(s):  
Qin Ding
Keyword(s):  
Data Mining ◽  
Data Storage ◽  
Efficient Algorithms ◽  
Relational Data ◽  
Xml Data ◽  
Structure Information ◽  
Data Mining Algorithms ◽  
Mining Algorithms ◽  
Naive Approach

With the growing usage of XML data for data storage and exchange, there is an imminent need to develop efficient algorithms to perform data mining on semistructured XML data. Mining on XML data is much more difficult than mining on relational data because of the complexity of structure in XML data. A naïve approach to mining on XML data is to first convert XML data into relational format. However the structure information may be lost during the conversion. It is desired to develop efficient and effective data mining algorithms that can be directly applied on XML data.

scholarly journals Extended tuple constraint type as a complex integrity constraint type in XML data model - definition and enforcement

2018 ◽  
Vol 15 (3) ◽  
pp. 821-843
Author(s):  
Jovana Vidakovic ◽  
Sonja Ristic ◽  
Slavica Kordic ◽  
Ivan Lukovic
Keyword(s):  
Data Model ◽  
Relational Databases ◽  
Database Management System ◽  
Integrity Constraints ◽  
Relational Data ◽  
Integrity Constraint ◽  
Xml Data ◽  
Relational Data Model ◽  
Unique Constraint ◽  
Schema Languages

A database management system (DBMS) is based on a data model whose concepts are used to express a database schema. Each data model has a specific set of integrity constraint types. There are integrity constraint types, such as key constraint, unique constraint and foreign key constraint that are supported by most DBMSs. Other, more complex constraint types are difficult to express and enforce and are mostly completely disregarded by actual DBMSs. The users have to manage those using custom procedures or triggers. eXtended Markup Language (XML) has become the universal format for representing and exchanging data. Very often XML data are generated from relational databases and exported to a target application or another database. In this context, integrity constraints play the essential role in preserving the original semantics of data. Integrity constraints have been extensively studied in the relational data model. Mechanisms provided by XML schema languages rely on a simple form of constraints that is sufficient neither for expressing semantic constraints commonly found in databases nor for expressing more complex constraints induced by the business rules of the system under study. In this paper we present a classification of constraint types in relational data model, discuss possible declarative mechanisms for their specification and enforcement in the XML data model, and illustrate our approach to the definition and enforcement of complex constraint types in the XML data model on the example of extended tuple constraint type.

Keywords Filtering over Probabilistic XML Data

2012 ◽  
pp. 183-194 ◽  
Author(s):  
Chenjing Zhang ◽  
Le Chang ◽  
Chaofeng Sha ◽  
Xiaoling Wang ◽  
Aoying Zhou
Keyword(s):  
Xml Data ◽  
Probabilistic Xml

Fuzzy XML data modeling with the UML and relational data models

2007 ◽  
Vol 63 (3) ◽  
pp. 972-996 ◽  
Author(s):  
Z.M. Ma ◽  
Li Yan
Keyword(s):  
Data Modeling ◽  
Data Models ◽  
Relational Data ◽  
Xml Data ◽  
Fuzzy Xml

The XML Data Mining Research Based on the Multi-Level Technology

2014 ◽  
Vol 644-650 ◽  
pp. 1875-1878
Author(s):  
Su Yu Huang ◽  
Ping Fang Hu
Keyword(s):  
Data Mining ◽  
Traditional Method ◽  
Data Exchange ◽  
Standard Form ◽  
Relational Data ◽  
Mining Method ◽  
Xml Data ◽  
Processing Data ◽  
Data Pretreatment ◽  
Multi Level

XML has become the standard form of data exchange, more and more data in this form for storage, implying a lot of knowledge in these data information, the need for data mining processing. For XML data mining method at present, most of the need is to pass the XML data into relational data pretreatment process, using the traditional method for processing, data mining process is complex and the effect is not ideal. Therefore, there is an urgent need some effective methods for XML data mining directly.

scholarly journals Query Pattern-based Relational Data to XML Data Translation Algorithm

2007 ◽  
Vol 3 (4) ◽  
pp. 212-217 ◽  
Author(s):  
Jinhyung Kim ◽  
Dongwon Jeong ◽  
Doo-Kwon Baik
Keyword(s):  
Relational Data ◽  
Xml Data ◽  
Query Pattern ◽  
Data Translation
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