کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4375247 1303254 2010 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A metadata-driven approach to loading and querying heterogeneous scientific data
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
پیش نمایش صفحه اول مقاله
A metadata-driven approach to loading and querying heterogeneous scientific data
چکیده انگلیسی

The Ecological Metadata Language is an effective specification for describing data for long-term storage and interpretation. When used in conjunction with a metadata repository such as Metacat, and a metadata editing tool such as Morpho, the Ecological Metadata Language allows a large community of researchers to access and to share their data. Although the Ecological Metadata Language/Morpho/Metacat toolkit provides a rich data documentation mechanism, current methods for retrieving metadata-described data can be laborious and time consuming. Moreover, the structural and semantic heterogeneity of ecological data sets makes the development of custom solutions for integrating and querying these data prohibitively costly for large-scale synthesis. The Data Manager Library leverages the Ecological Metadata Language to provide automated data processing features that allow efficient data access, querying, and manipulation without custom development. The library can be used for many data management tasks and was designed to be immediately useful as well as extensible and easy to incorporate within existing applications. In this paper we describe the motivation for developing the Data Manager Library, provide an overview of its implementation, illustrate ideas for potential use by describing several planned and existing deployments, and describe future work to extend the library.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Informatics - Volume 5, Issue 1, January 2010, Pages 3–8
نویسندگان
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