2 research outputs found
Knowledge and Metadata Integration for Warehousing Complex Data
With the ever-growing availability of so-called complex data, especially on
the Web, decision-support systems such as data warehouses must store and
process data that are not only numerical or symbolic. Warehousing and analyzing
such data requires the joint exploitation of metadata and domain-related
knowledge, which must thereby be integrated. In this paper, we survey the types
of knowledge and metadata that are needed for managing complex data, discuss
the issue of knowledge and metadata integration, and propose a CWM-compliant
integration solution that we incorporate into an XML complex data warehousing
framework we previously designed.Comment: 6th International Conference on Information Systems Technology and
its Applications (ISTA 07), Kharkiv : Ukraine (2007
Knowledge and Metadata Integration for Warehousing Complex Data
International audienceWith the ever-growing availability of so-called complex data, especially on the Web, decision-support systems such as data warehouses must store and process data that are not only numerical or symbolic. Warehousing and analyzing such data requires the joint exploitation of metadata and domain-related knowledge, which must thereby be integrated. In this paper, we survey the types of knowledge and metadata that are needed for managing complex data, discuss the issue of knowledge and metadata integration, and propose a CWM-compliant integration solution that we incorporate into an XML complex data warehousing framework we previously designed