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Meta Data Services

About: Meta Data Services is a research topic. Over the lifetime, 2564 publications have been published within this topic receiving 40102 citations.


Papers
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Patent
25 Feb 2008
TL;DR: In this paper, a method and architecture is described that discovers software application metadata and generates data access applications based on the discovered software application meta-data, along with handcrafted metadata, which is converted into common, generic abstract metadata objects.
Abstract: A method and architecture is described that discovers software application metadata and generates data access applications based on the discovered software application metadata. The discovered metadata along with handcrafted metadata goes through a discovery process and is converted into common, generic abstract metadata objects. The abstract metadata objects then go through an instantiation process to be translated into concrete metadata objects that represent the unique configuration, context and terminology of the source software application. The concrete metadata objects can be generated into numerous forms for the purposes of data access and information sharing. The system also has upgrade protection.

81 citations

Journal ArticleDOI
TL;DR: This work is to present the process of “crosswalk-creation”, which has been used by a research team at the University of Zaragoza in order to translate information among some of the most extended standards for geographic information metadata.

81 citations

Proceedings Article
06 Nov 2004
TL;DR: An approach to conceptualizing, measuring, and assessing metadata quality is presented based on a more general model of information quality (IQ) for many kinds of information beyond just metadata.
Abstract: This paper presents early results from our empirical studies of metadata quality in large corpuses of metadata harvested under Open Archives Initiative (OAI) protocols. Along with some discussion of why and how metadata quality is important, an approach to conceptualizing, measuring, and assessing metadata quality is presented. The approach given in this paper is based on a more general model of information quality (IQ) for many kinds of information beyond just metadata. A key feature of the general model is its ability to condition quality assessments by context of information use, such as the types of activities that use the information, and the typified norms and values of relevant information-using communities. The paper presents a number of statistical characterizations of analyzed samples of metadata from a large corpus built as part of the Institute of Museum and Library Services Digital Collections and

79 citations

Proceedings Article
28 Sep 2003
TL;DR: Using a commercially available visual graphical analysis tool, the National Science Digital Library has developed techniques that allow efficient and thorough review of large quantities of XML metadata, thus enabling the focus of limited resources on evaluation and manipulation tasks that are most important in the authors' context.
Abstract: Using a commercially available visual graphical analysis tool, the National Science Digital Library (NSDL) has developed techniques to expedite evaluation of large batches of metadata. These techniques allow efficient and thorough review of large quantities of XML metadata, thus enabling the focus of limited resources on evaluation and manipulation tasks that are most important in our context. In the NSDL, metadata is evaluated for aggregation, but these techniques are applicable to any situation where batches of metadata need to be evaluated. This paper discusses the motivations for this approach and the techniques themselves.

79 citations

Proceedings ArticleDOI
11 Jun 2007
TL;DR: It is argued that the relational model augmented with queries as data values is a natural way to uniformly model data, arbitrary metadata and their associations, and relational queries with a join mechanism augmented to permit matching of query result relations, instead of only atomic values, is an elegant way of uniformly query across data and metadata.
Abstract: There is a growing need to associate a variety of metadata with the underlying data, but a simple, elegant approach to uniformly model and query both the data and the metadata has been elusive. In this paper, we argue that (1) the relational model augmented with queries as data values is a natural way to uniformly model data, arbitrary metadata and their associations, and (2) relational queries with a join mechanism augmented to permit matching of query result relations, instead of only atomic values, is an elegant way to uniformly query across data and metadata. We describe the architecture of a system we have prototyped for this purpose, demonstrate the generality of our approach and evaluate the performance of the system, in comparison with previous proposals for metadata management.

77 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202313
202261
20212
20202
20196
20188