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.

Rule categories for collection/item metadata relationships

Abstract: Collections of artifacts, images, texts, and other cultural objects are not arbitrary aggregations, but are designed to support specific research and scholarly activities. Collection-level metadata directly supports this objective, providing critical contextual information. However, exploiting this information, especially in a semantic web environment of linked data, requires a precise formalization of the rules that characterize collection/item metadata relationships. Toward this end we are developing a logic-based framework of relationship rule categories for collection/item metadata. This framework will support metadata specification developers, metadata catalogers, and system designers. In earlier work we described three example rule categories for propagation of information from collections to items. Further reflection, and examination of metadata in an RDF testbed, has revealed eighteen categories, which form an interrelated system with three levels of specificity and formal constraints differentiating categories. This paper summarizes the results of a three year effort, part of the IMLS Digital Collections and Content project.

Enhancing educational metadata management systems to support interoperable learning object repositories

Abstract: Educational metadata can significantly assist the effective retrieval of educational resources. Currently, there are a number of tools for educational metadata authoring, facilitating the manipulation of educational metadata files. We outline the requirements, and propose an architecture for the development of a compete LRM management system which go beyond metadata authoring, supporting the educational community in the full management of LRM through the management of interoperable learning object repositories.

Metadata Activities in Biology

Abstract: The National Biological Information Infrastructure (NBII) has advanced the ability of biological sciences to standardize, share, integrate, and synthesize data by making the metadata program a core of its activities. A series of crosswalks for the main biological metadata specifications enable data providers and international clearinghouses to aggregate and disseminate tens of thousands of metadata records describing petabytes of data records and allow for interoperability. These efforts were accomplished by forming strategic partnerships with key research organizations in the biological and ecological sciences. This paper provides an overview of metadata initiatives undertaken by NBII and the Long Term Ecological Research Network. New efforts to provide better metadata creation and curation tools based on content management systems with semantic mediation for data discovery are presented.

Continuing Education in New Standards and Technologies for the Organization of Data and Information: A Report on the Cataloging and Metadata Professional Development Survey

Abstract: This study uses data from a large original survey (nearly one thousand initial respondents) to present how the cataloging and metadata community is approaching new and emerging data standards and technologies. The data analysis demonstrates strong professional-development interest in Semantic Web and Linked Data applications. With respect to continuing education topics, Linked Data technology, BIBFRAME, and an overview of current and emerging data standards and technologies ranked high. The survey data illustrate that personal continuing education interests often varied from reported institutional needs. These results reflect the fact that library services and projects in these emerging areas have not yet progressed beyond the exploratory stage. They also suggest that cataloging and metadata professionals expect to be able to exercise a mixture of core professional skill sets including teamwork, communication, and subject analysis, and the ability to adapt and accommodate Semantic Web standards and technologies, digital libraries, and other innovations in cataloging and metadata services.

Structuring Business Metadata in Data Warehouse Systems for Effective Business Support

Abstract: Large organizations today are being served by different types of data processing and informations systems, ranging from the operational (OLTP) systems, data warehouse systems, to data mining and business intelligence applications. It is important to create an integrated repository of what these systems contain and do in order to use them collectively and effectively. The repository contains metadata of source systems, data warehouse, and also the business metadata. Decision support and business analysis require extensive and in-depth understanding of business entities, tasks, rules and the environment. The purpose of business metadata is to provide this understanding. Realizing the importance of metadata, many standardization efforts has been initiated to define metadata models. In trying to define an integrated metadata and information systems for a banking application, we discover some important limitations or inadequacies of the business metadata proposals. They relate to providing an integrated and flexible inter-operability and navigation between metadata and data, and to the important issue of systematically handling temporal characteristics and evolution of the metadata itself. In this paper, we study the issue of structuring business metadata so that it can provide a context for business management and decision support when integrated with data warehousing. We define temporal object-oriented business metadata model, and relate it both to the technical metadata and the data warehouse. We also define ways of accessing and navigating metadata in conjunction with data.