Much research has been undertaken in order to speed up the processing of semistructured data in general and XML in particular. Many approaches for storage, compression, indexing and querying exist, e.g. [1, 2]. We do not present yet another such algorithm but a unifying model in which these algorithm can be understood. The key idea behind this research is the assumption, that most practical queries are based on a particular pattern of data that can be deduced from the query and which can then be captured using a regular structure amendable to efficient processing techniques
Queries on semistructured data are hard to process due to the complex nature of the data and call fo...
Growing user expectations of anywhere, anytime access to information require new types of data repre...
In the last years, semistructured data has played an increasing role within the database community. ...
Semistructured data, such as XML, allows authors to structure a document in a way which accurately ...
This report documents a preliminary research study of semi-structured data stored on the Web in gene...
Abstract: In the last years, semistructured data has played an increasing role within the database c...
The effective processing of semi-structured data queries is a preliminary part of data mining stage....
Since the boom in new proposals on techniques for efficient querying of XML data is now over and the...
Query performance issues over semi-structured data have led to the emergence of materialised XML vie...
A single framework for storing and querying XML data, using denormalized schema decompositions, can ...
With the tremendous growth of World Wide Web (WWW) data, there is an emerging need for effective inf...
Query performance issues over semi-structured data have led to the emergence of materialised XML vie...
Queries on semistructured data are hard to process due to the complex nature of the data and call fo...
As data management applications grow more complex, they are likely to need efficient distributed que...
The exchange and storage of XML data is becoming increasingly important. In contrast to conventional...
Queries on semistructured data are hard to process due to the complex nature of the data and call fo...
Growing user expectations of anywhere, anytime access to information require new types of data repre...
In the last years, semistructured data has played an increasing role within the database community. ...
Semistructured data, such as XML, allows authors to structure a document in a way which accurately ...
This report documents a preliminary research study of semi-structured data stored on the Web in gene...
Abstract: In the last years, semistructured data has played an increasing role within the database c...
The effective processing of semi-structured data queries is a preliminary part of data mining stage....
Since the boom in new proposals on techniques for efficient querying of XML data is now over and the...
Query performance issues over semi-structured data have led to the emergence of materialised XML vie...
A single framework for storing and querying XML data, using denormalized schema decompositions, can ...
With the tremendous growth of World Wide Web (WWW) data, there is an emerging need for effective inf...
Query performance issues over semi-structured data have led to the emergence of materialised XML vie...
Queries on semistructured data are hard to process due to the complex nature of the data and call fo...
As data management applications grow more complex, they are likely to need efficient distributed que...
The exchange and storage of XML data is becoming increasingly important. In contrast to conventional...
Queries on semistructured data are hard to process due to the complex nature of the data and call fo...
Growing user expectations of anywhere, anytime access to information require new types of data repre...
In the last years, semistructured data has played an increasing role within the database community. ...