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.

Techniques for reducing down time in updating applications with metadata

Abstract: A method and apparatus for reducing down time in updating applications with metadata is provided. The application contains both code and metadata. A copy of the application is made. A software update is installed on the copy of the application. During installation, the original application continues to run and service users, who may modify the metadata of the original application. Periodically, the metadata of the copy of the application is updated to incorporate changes to the metadata of the original application. When the software update is completed, users are prevented from further modifying the metadata of the original application. The metadata of the copy of the application is updated to incorporate the final changes to the metadata of the original application. Users are redirected from the original application to the copy of the application.

Using AutoMed metadata in data warehousing environments

Abstract: What kind of metadata can be used for expressing the multiplicity of data models and the data transformation and integration processes in data warehousing environments? How can this metadata be further used for supporting other data warehouse activities? We examine how these questions are addressed by AutoMed, a system for expressing data transformation and integration processes in heterogeneous database environments.

DataID: towards semantically rich metadata for complex datasets

Abstract: The constantly growing amount of Linked Open Data (LOD) datasets constitutes the need for rich metadata descriptions, enabling users to discover, understand and process the available data. This metadata is often created, maintained and stored in diverse data repositories featuring disparate data models that are often unable to provide the metadata necessary to automatically process the datasets described. This paper proposes DataID, a best-practice for LOD dataset descriptions which utilize RDF files hosted together with the datasets, under the same domain. We are describing the data model, which is based on the widely used DCAT and VoID vocabularies, as well as supporting tools to create and publish DataIDs and use cases that show the benefits of providing semantically rich metadata for complex datasets. As a proof of concept, we generated a DataID for the DBpedia dataset, which we will present in the paper.

Functional and architectural requirements for metadata: supporting discovery and management of scientific data

Abstract: The tremendous growth in digital data has led to an increase in metadata initiatives for different types of scientific data, as evident in Ball's survey (2009). Although individual communities have specific needs, there are shared goals that need to be recognized if systems are to effectively support data sharing within and across all domains. This paper considers this need, and explores systems requirements that are essential for metadata supporting the discovery and management of scientific data. The paper begins with an introduction and a review of selected research specific to metadata modeling in the sciences. Next, the paper's goals are stated, followed by the presentation of valuable systems requirements. The results include a base-model with three chief principles: principle of least effort, infrastructure service, and portability. The principles are intended to support "data user" tasks. Results also include a set of defined user tasks and functions, and applications scenarios.