Knowledge-intensive applications pose new challenges to metadata management, including distribution, access control, uniformity of access, and evolution in time. The authors identify general requirements for metadata management and describe a simple model and service that focuses on RDF metadata to address these requirements.</p
Improving research data management practices is both an organizational and a technical challenge: ev...
Abstract. Tasked with designing a metadata management system for a large scientific data repository,...
One approach to manage collections is to create data about the things in it. This descriptive data i...
Knowledge-intensive applications pose new challenges to metadata management, including distribution,...
Knowledge-intensive applications pose new challenges to metadata management, including distribution,...
Metadata-intensive applications pose strong requirements for metadata management infrastructures, wh...
Effective metadata management is one of the key enablers of information and knowledge management. Ov...
The tremendous growth in digital data has led to an increase in metadata initiat...
Metadata-intensive applications pose strong requirements for metadata management infrastructures, wh...
High-quality metadata standards provide generic foundations that cover metadata needs across many re...
The different purposes present within a distributed information environment create the potential for...
We propose a comprehensive, generic and extensible metamodel to enable automated intelligent discove...
In a chaotic environment like the Internet, data are not enough anymore. The description of resource...
The prevalence of data science has grown exponentially in recent years. Increases in data exchange h...
The RDA Metadata Standards WG (MSWG) is comprised of individuals and organizations involved in the d...
Improving research data management practices is both an organizational and a technical challenge: ev...
Abstract. Tasked with designing a metadata management system for a large scientific data repository,...
One approach to manage collections is to create data about the things in it. This descriptive data i...
Knowledge-intensive applications pose new challenges to metadata management, including distribution,...
Knowledge-intensive applications pose new challenges to metadata management, including distribution,...
Metadata-intensive applications pose strong requirements for metadata management infrastructures, wh...
Effective metadata management is one of the key enablers of information and knowledge management. Ov...
The tremendous growth in digital data has led to an increase in metadata initiat...
Metadata-intensive applications pose strong requirements for metadata management infrastructures, wh...
High-quality metadata standards provide generic foundations that cover metadata needs across many re...
The different purposes present within a distributed information environment create the potential for...
We propose a comprehensive, generic and extensible metamodel to enable automated intelligent discove...
In a chaotic environment like the Internet, data are not enough anymore. The description of resource...
The prevalence of data science has grown exponentially in recent years. Increases in data exchange h...
The RDA Metadata Standards WG (MSWG) is comprised of individuals and organizations involved in the d...
Improving research data management practices is both an organizational and a technical challenge: ev...
Abstract. Tasked with designing a metadata management system for a large scientific data repository,...
One approach to manage collections is to create data about the things in it. This descriptive data i...
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