Title
Metody pro efektivní vyhledávání v rozsáhlých kolekcích slabě strukturovaných dat
Code
201/06/P113
Summary
The mark-up language XML (Extensible Mark-up Language) has become a standard for description of the semi-structured data. The XML is a tool for exchange of data, presentation of documents on the Web and so on. From database point of view XML is recently understood as a new approach to
data modelling. Implementation of a system enabling us to store and query XML documents efficiently (so called native XML databases) requires a development of new techniques. An XML document is usually modelled as a graph the nodes of which correspond to XML elements and attributes. To obtain specified data from an XML database a number of special query languages have been developed. A common feature of these languages is a possibility to formulate paths in the XML graph. Conventional approaches through the conventional database languages SQL or OQL
fail or they are not too efficient. Recently there are several approaches to indexing XML or, more general, semi-structured data. The most of the approaches solve only small part of a query language or it is not possible to use them to indexing huge volume XML data. Target of this project is to
continue in development of native XML database which has begun during PhD study of the applicant.
Start year
2006
End year
2008
Provider
Grantová agentura ČR
Category
Obecná forma
Type
Postdoktorské granty (GP)
Solver
Information system of research, development and innovation (in Czech)