Topic
Metadata repository
About: Metadata repository is a research topic. Over the lifetime, 5841 publications have been published within this topic receiving 121778 citations.
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23 Oct 2011
TL;DR: This work presents an approach where semantic metadata is generated as scientific data is being prepared, and then subsequently used to configure models and to customize them to the data, generating more accurate results.
Abstract: Scientific metadata containing semantic descriptions of scientific data is expensive to capture and is typically not used across entire data analytic processes We present an approach where semantic metadata is generated as scientific data is being prepared, and then subsequently used to configure models and to customize them to the data The metadata captured includes sensor descriptions, data characteristics, data types, and process documentation This metadata is then used in a workflow system to select analytic models dynamically and to set up model parameters automatically In addition, all aspects of data processing are documented, and the system is able to generate extensive provenance records for new data products based on the metadata As a result, the system can dynamically select analytic models based on the metadata properties of the data it is processing, generating more accurate results We show results in analyzing stream metabolism for watershed ecosystem management
32 citations
01 Nov 1999
TL;DR: CI3, a corporate information integrator, is presented, which applies XML as a tool to facilitate data mediation and integration amongst heterogeneous sources in the context of financial analysts creating corporate profiles.
Abstract: The proliferation of electronically available data within large organizations as well as publicly available data (e.g. over the World Wide Web) poses challenges for users who wish to efficiently interact with and integrate multiple heterogeneous sources. This paper presents CI3, a corporate information integrator, which applies XML as a tool to facilitate data mediation and integration amongst heterogeneous sources in the context of financial analysts creating corporate profiles. Sources include Lotus Notes, relational databases, and the World Wide Web. CI3 applies a unified XML data model to automate integration. By preserving metadata about the source of each datum in the integrated result set, CI3 supports source attribution. Users may trace the attribution metadata from the result back to the underlying sources and leverage their expertise in interpreting the data and, if necessary, use their judgment in assessing the authenticity and veracity of results. We present a functional overview of CI3, its system architecture including the XML data model, and the integration procedures. We conclude by reflecting on lessons learned.
31 citations
28 Oct 2007
TL;DR: An evaluation reference model, SemRef, is proposed, which sketches some fundamental principles for evaluating semantic metadata, and an evaluation framework, SemEval, which provides a set of instruments to support the detection of quality problems and the collection of quality metrics for these problems.
Abstract: Because poor quality semantic metadata can destroy the effectiveness of semantic web technology by hampering applications from producing accurate results, it is important to have frameworks that support their evaluation. However, there is no such framework developedto date. In this context, we proposed i) an evaluation reference model, SemRef, which sketches some fundamental principles for evaluating semantic metadata, and ii) an evaluation framework, SemEval, which provides a set of instruments to support the detection of quality problems and the collection of quality metrics for these problems. A preliminary case study of SemEval shows encouraging results.
31 citations
TL;DR: The metadata and metadata management algorithms necessary to handle the concurrent execution of multiple tasks from a single workflow, in a collaborative service oriented architecture environment, are described.
31 citations
Patent•
14 Apr 2010TL;DR: In this article, a graphical user interface (GUI) control based on the metadata associated with the search hits is constructed and displayed with search results in a standard view, and the metadata in the search results is arranged in a tabular view which is embedded in the display of search results and rendered invisible until selected by the user.
Abstract: Records in databases or unstructured files are enriched with metadata and are indexed for retrieval by a search engine. In response to a search request, a graphical user interface (GUI) control based on the metadata associated with the search hits is constructed and displayed with the search results in a standard view. Selection of a metadata value via the GUI control filters the previously matched records down to those matching the value selected via the GUI control. The metadata in the search results is arranged in a tabular view which is embedded in the display of search results and rendered invisible until selected by the user. Reports can be constructed from an identifier each returned record set for presenting, analyzing and modifying the data, and for generating further reports.
31 citations