OrientX: An integrated, schema based native XML database system

2006 ◽  
Vol 11 (5) ◽  
pp. 1192-1196 ◽  
Author(s):  
Meng Xiaofeng ◽  
Wang Xiaofeng ◽  
Xie Min ◽  
Zhang Xin ◽  
Zhou Junfeng
Keyword(s):  
Database System ◽  
Xml Database ◽  
Native Xml Database

PTDOM: a schema-aware XML database system for MPEG-7 media descriptions

2006 ◽  
Vol 36 (8) ◽  
pp. 785-834 ◽  
Author(s):  
U. Westermann ◽  
W. Klas
Keyword(s):  
Database System ◽  
Xml Database

scholarly journals StreetTiVo: Using a P2P XML Database System to Manage Multimedia Data in Your Living Room

2009 ◽  
pp. 404-415
Author(s):  
Ying Zhang ◽  
Arjen de Vries ◽  
Peter Boncz ◽  
Djoerd Hiemstra ◽  
Roeland Ordelman
Keyword(s):  
Database System ◽  
Multimedia Data ◽  
Living Room ◽  
Xml Database

Designing a high-performance database engine for the ‘Db4XML’ native XML database system

2004 ◽  
Vol 69 (1-2) ◽  
pp. 87-104 ◽  
Author(s):  
Sudhanshu Sipani ◽  
Kunal Verma ◽  
John A. Miller ◽  
Boanerges Aleman-Meza
Keyword(s):  
High Performance ◽  
Database System ◽  
Xml Database ◽  
Native Xml Database ◽  
Database Engine

Query Operators in Temporal XML Databases

2005 ◽  
pp. 500-505
Author(s):  
Kjetil Nørvåg
Keyword(s):  
Query Processing ◽  
Data Warehouse ◽  
Query Language ◽  
Database System ◽  
Mass Storage ◽  
Xml Database ◽  
Xml Databases ◽  
Temporal Query ◽  
Temporal Query Language ◽  
The Cost

The amount of data available in XML is rapidly increasing and at the same time the price of mass storage is rapidly decreasing, and this makes it possible to store larger amounts of data. The contents of a database or data warehouse are seldom static. New documents are created, documents are deleted and, more important, documents are updated. In many cases, one wants to be able to search in historical (old) versions, retrieve documents that were valid at a certain time, query changes to documents, and so forth. (Note that although this process is somewhat similar to general document versioning maintenance, the aspect of time makes possibilities and appropriate solutions different.) The “easiest” way to do this is to store all versions of all documents in the database and use a middleware layer to convert temporal query language statements into conventional statements, executed by an underlying database system (an example of such a system is TeXOR; Nørvåg, Limstrand, & Myklebust, 2003). Although this approach makes the introduction of temporal support easier, it can be difficult to achieve good performance: temporal query processing is in general costly, and the cost of storing the complete document versions can be high. Thus, a temporal XML database system is necessary.

An active rule-based fuzzy XML database system

2012 ◽  
Vol 12 (s1) ◽  
pp. S103-S111
Author(s):  
Ying Jin ◽  
Hemal J. Mehta ◽  
Chandrashekar Madalli
Keyword(s):  
Database System ◽  
Rule Based ◽  
Xml Database ◽  
Active Rule ◽  
Fuzzy Xml
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