共查询到20条相似文献，搜索用时 15 毫秒
1.
Ranjeet Devarakonda Giriprakash Palanisamy Bruce E. Wilson James M. Green 《Earth Science Informatics》2010,3(1-2):87-94
Mercury is a federated metadata harvesting, search and retrieval tool based on both open source packages and custom software developed at Oak Ridge National Laboratory (ORNL). It was originally developed for the National Aeronautics and Space Administration (NASA), and the consortium now includes funding from NASA, U.S. Geological Survey (USGS), and U.S. Department of Energy (DOE). Mercury is itself a reusable software application which uses a service-oriented architecture (SOA) approach to capturing and managing metadata in support of twelve Earth science projects. Mercury also supports the reuse of metadata by enabling searches across a range of metadata specification and standards including XML, Z39.50, FGDC, Dublin-Core, Darwin-Core, EML, and ISO-19115. It collects metadata and key data from contributing project servers distributed around the world and builds a centralized index. The Mercury search interfaces allows the users to perform simple, fielded, spatial, temporal and other hierarchical searches across these metadata sources. This centralized repository of metadata with distributed data sources provides extremely fast search results (Table 1) to the user, while allowing data providers to advertise the availability of their data and yet maintain complete control and ownership of that data. 相似文献
2.
Data sharing and retrieval using OAI-PMH 总被引：2，自引：1，他引：1
Ranjeet Devarakonda Giri Palanisamy James M. Green Bruce E. Wilson 《Earth Science Informatics》2011,4(1):1-5
There is a growing consensus for the need to store and archive digital data, particularly for publicly funded research. Long-term
preservation of that data generally requires some form of institutional archive, such as those directed to particular scientific
communities of practice. Given that data is often of use to multiple communities of practice, which may have differing norms
for data and metadata structure and semantics, effective standards for data and metadata exchange are important factors for
users to be able to find and retrieve data. Toolsets that provide a coherent presentation of information across multiple standards
are important for data search and access. One such toolset, Mercury, is a open-source metadata harvesting, data discovery,
and access system, built for researchers to search for, share and obtain spatiotemporal data used across a range of climate
and ecological sciences. Mercury is used across multiple projects to provide a coherent search interface for spatiotemporal
data described in any of several metadata formats. Mercury has recently been extended to enable harvesting and distribution
of metadata using the Open Archive Initiative Protocol for Metadata Handling (OAI-PMH). In this paper we describe Mercury’s
capabilities with multiple metadata formats, in general, and, more specifically, the results of our OAI-PMH implementations
and the lessons learned. 相似文献
3.
Riccardo Albertoni Monica De Martino Paola Podestà Andreas Abecker Roman Wössner Karsten Schnitter 《Earth Science Informatics》2018,11(4):525-544
The paper illustrates a Linked Thesaurus Framework for the Environment, named LusTRE, to facilitate data sharing across different environmental disciplines. It provides a knowledge infrastructure of multilingual thesauri and code lists, interlinking them so that they can be used as one integrated linked data source. This multilingual thesaurus is published according to the Linked Data Best Practices and supports metadata compilation and data discovery for describing and finding Environmental geodata. A human readable web interface is provided for the exploitation of LusTRE as well as a set of web services for programmatic access to the knowledge infrastructure. LusTRE has been exploited within the European directive INSPIRE and SEIS piloting testbeds implemented within the EU project eENVplus in order to support cross-border and cross-domain data sharing. It is aimed at supporting multilingual data search and query refinement. In order to show how interlinked content can help users to more easily express metadata within Spatial Data Infrastructures (SDI), LusTRE web services have been integrated within existing metadata editors and geoportals. 相似文献
4.
Suresh K. Santhana Vannan Robert B. Cook Jerry Y. Pan Bruce E. Wilson 《Earth Science Informatics》2011,4(2):97-106
Remote sensing data from satellites have provided valuable information on the state of the earth for several decades. Since
March 2000, the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor on board NASA’s Terra and Aqua satellites have
been providing estimates of several land parameters useful in understanding earth system processes at global, continental,
and regional scales. However, the HDF-EOS file format, specialized software needed to process the HDF-EOS files, data volume,
and the high spatial and temporal resolution of MODIS data make it difficult for users wanting to extract small but valuable
amounts of information from the MODIS record. To overcome this usability issue, the NASA-funded Distributed Active Archive
Center (DAAC) for Biogeochemical Dynamics at Oak Ridge National Laboratory (ORNL) developed a Web service that provides subsets
of MODIS land products using Simple Object Access Protocol (SOAP). The ORNL DAAC MODIS subsetting Web service is a standard
based way of serving satellite data that exploits a fairly established and popular Internet protocol to allow users access
to massive amounts of remote sensing data. The Web service provides MODIS land product subsets up to 201 × 201 km in a non-proprietary
comma delimited text file format. Users can programmatically query the Web service to extract MODIS land parameters for real
time data integration into models, decision support tools or connect to workflow software. Information regarding the MODIS
SOAP subsetting Web service is available on the World Wide Web (WWW) at . 相似文献
5.
6.
科学数据是科技创新的基础,也是人类宝贵的科技信息资源。兼顾保护数据知识产权和推动数据广泛共享是科学数据界长期存在的难题。数据出版（元数据、实体数据、数据论文关联出版）是解决这个难题的有效机制。“全球地质数据出版系统”（中英文）将实现元数据、实体数据、数据论文关联一体出版,通过互联网实现科学传播和公益性共享机制,在保护数据知识产权和促进数据共享方面起着重要作用。该系统将推动全世界地质学家共享科学数据,为地质领域科技创新提供数据基础。本文基于数据出版的概念,全面介绍了全球地质数据出版,并探讨其数据共享的意义价值。 相似文献
7.
基于元数据的信息共享机制研究 总被引：4，自引：1，他引：4
元数据作为关于数据的数据,是目前信息共享的关键技术,也是当前研究的热点。在对比国际、国内元数据标准的基础上,采用元数据管理的三个层次:元数据子集、元数据实体和元数据元素,建立了“数字成都”元数据标准模板。它主要包括:标识信息、数据质量信息、空间参考信息、数据集的内容信息、分发信息、元数据参考信息。讨论了“数字成都”中基于元数据信息共享系统的结构、模块和特点,实现了分布式数据组织与管理、分布式数据共享、分布式数据快速索引机制以及跨平台数据访问。 相似文献
8.
9.
地球系统科学数据共享网络平台的设计和开发 总被引：9，自引：0，他引：9
“地球系统科学数据共享网”是国家科学数据共享工程的试点之一,同时也是国家科技基础条件平台的组成部分,其目的是为地球系统科学的基础和前沿研究提供数据支撑服务。该系统平台(GEODATA)是一个分布式的数据交换体系,总体设计思路是利用元数据整合分散的地学数据资源,通过业务逻辑的技术封装提供地学数据的网络共享。设计的GEODATA体系是一个五层结构,即门户层、共享业务层、核心服务层、资源管理层和网络平台层,具体的业务逻辑处理功能被分解为13个功能模块。GEODATA的研发技术路线包括总中心和分中心两大部分,其中总中心采用“地学数据超市”理念进行功能组织;分中心基于Web Services技术,采用分布式数据管理的模式进行设计。两者的业务逻辑基于元数据的生命周期被串联成一个有机的整体。GEODATA原型系统利用J2EE开发,实现跨平台部署。应用实践表明这种平台构架模式非常适用于地球系统科学的学科特点。 相似文献
10.
Within the TERENO initiative, four terrestrial observatories, collecting huge amounts of environmental data, are being set up since 2008. To manage, describe, exchange and publish these data, the distributed Spatial Data Infrastructure TEODOOR (http://www.tereno.net) was created. Each institution responsible for an individual observatory sets up its own local data infrastructure, which may communicate with each other to exchange data and metadata internally or to the public by OGC compliant Web services. The TEODOOR data portal serves as a database node to provide scientists and decision makers with reliable and well-accessible data and data products. Various tools like hierarchical search or Web-GIS functions allow a deeper insight into the different observatories, test sites and sensor networks. Sensor data can be queried and selected for measured parameters, stations and/or time periods, and can be visualized and downloaded according to a shared TERENO data policy. Currently, TEODOOR provides free access to data from more than 500 monitoring stations. 相似文献
11.
以中国寒区旱区特有的自然背景为研究基础,将40多年针对寒区旱区自然资源、生态环境、工程建设、经济建设等研究中积累的大量的特色数据进行分类。从方便数据采集和数据应用出发,将专业特色数据以关系数据、空间数据、二进制数据和文本数据的形式分三级数据库群结构组建成寒区旱区资源环境研究特色数据集。从共享机制和共享技术两方面对数据共享的几个主要因素进行了说明。同时就如何在以高性能计算和网络为核心开展深层次的数据服务方面,从数据平台建设、基于Web的远程计算和数据网格3个方面进行了尝试。 相似文献
12.
在分布式环境中,各个结点通常需要共享使用其他结点的地理元数据.为了能够实现结点间地理元数据的相互共享,又能够保证每个结点具有较高的独立性与自治性,基于“国土资源信息集成与共享平台机制”项目,自行设计消息队列,提出了一种基于XML (extensible markup language) Web服务的数据同步机制.通过该同步机制,弱化了中心和结点的概念,实现了物理结构模式下无中心的架构,使得各个结点之间能够主动进行数据同步共享,存储同一数据的不同副本,从而较好地达到了数据同步的目标. 相似文献
13.
14.
Our ability to deal with complex systems has improved through information system research which includes improved modeling
(both data and system), the use of semantics and advances in distributed computing. The past decade has seen an explosion
in the amount and variety of geosciences data and the emergence of true open data repositories through which scientists can
freely access this data. Those data are found in thousands of repositories located around the world. Virtual observatories
have been created to address the challenge of helping scientists search those repositories to find and access the required
data. This challenge is been addressed by using technologies such as the Internet (with ample connectivity and bandwidth),
the Web, cheap computing power, cheap storage and standards for critical components. Many scientific disciplines are developing
virtual observatories. Yet some of the most compelling science questions cross multiple domains. While semantics can provide
cross domain reasoning, often the first step in answering a question is determining what resources are available which may
be relevant to a topic. The topic can be expressed as simple phrases or word sequences. Using a common relevance scoring method
at all locations can enable a federated search across loosely coupled providers. The results of which can be organized into
facets to aid the user in selecting the most promising resources with which to pursue the scientific investigation. We describe
an approach to developing and deploying relevance scoring methods and faceted results in this brave new (virtual) world. We
have found that a scoring method which considers both the presence of terms and the proximity of these terms relative to the
order of the terms in the query improves the assessment of relevance. We call this Term Presence-Proximity (TPP) scoring and
describe a method for calculating a normalized score. TPP scoring compares favorably with other scoring approaches. 相似文献
15.
地学数据产品的开发、发布与共享 总被引：6，自引：1，他引：5
数据是科学研究的基础,数据共享可以最大程度地发挥数据的使用价值,数据是实现数据共享最基本的要素。地学数据具有空间性、综合性、时间性、海量性、多源性等特点。属性数据、遥感数据、矢量数据是加工生产地学数据产品的重要数据源,属性数据空间化是加工、生产地学数据产品的重要技术手段。地学数据共享发布平台应当具备用户管理、数据目录查询、元数据管理、数据查询与浏览、数据下载等基本功能。推进科学数据共享,必须要有相应的政策措施保证,必须建立公正、合理的数据工作评价体系。 相似文献
16.
Robert S. Weigel Mikhail Zhizhin Dmitry Mishin Dmitry Kokovin Eric Kihn Jeremy Faden 《Earth Science Informatics》2010,3(1-2):19-28
The recent Heliophysics Virtual Observatory (VxO) effort involves the development of separate observatories with a low overlap in physical domain or area of scientific specialization and a high degree of overlap in metadata management needs. VxOware is a content and metadata management system. While it is intended for use by a VxO specifically, it can also be used by any entity that manages structured metadata. VxOware has many features of a content management system and extensively uses the W3C recommendations for XML (Extensible Markup Language), XQuery (XML Query), and XSLT (Extensible Style Sheet Language Transformations). VxOware has features such as system and user administration, search, user-editable content, version tracking, and a wiki. Besides virtual observatories, the intended user-base of VxOware includes a group or an instrument team that has developed a directory structure of data files and would like to make this data, and its associated metadata, available in the virtual observatory network. One of the most powerful features of VxOware is the ability to link any type of object in the observatory to other objects and the ability for every object to be tagged. 相似文献
17.
Amazon’s deforestation affects citizens from varying information communities. Experts like scientists or journalists acquire
relevant data on-site and publish valuable information on the Web. But different and sometimes conflicting views on reality
impede sharing of information across communities, relevant content remains far too often undiscovered. We introduce rule-based
semantic annotations as solution to facilitate the discovery and evaluation of geographical information. With the distinction
between shared domain and local information source ontologies, the proposed architecture of a semantically supported SDI for
the Amazon also takes the plethora of GI formats into account. Creating semantic annotations is challenging, a recommender
system for semantic annotations enables even the non-IT experts to participate. The benefits of the proposed techniques are
further illustrated by a scenario which spans across information communities of economics, ecology, and ethnology. 相似文献
18.
Paolo Mazzetti Giuseppe Puglisi Luca D’Auria Roberto Roncella Danilo Reitano Riccardo Merenda Stefano Nativi 《Earth Science Informatics》2017,10(4):443-455
This paper presents the Virtual Research Environment (VRE) enabling two European GEO Geohazard Supersites in Italy. According to GEO (Group on Earth Observation) vision, Geohazard Supersites provide access to spaceborne and in-situ geophysical data and models for selected sites prone to natural hazards –noticeably, earthquakes and volcano eruptions. The VRE was implemented in the framework of the Mediterranean Supersite Volcanoes (MED-SUV) project, funded by the European Commission. MED-SUV realized one of the European supersite demonstrators covering the two Permanent Supersites selected in Italy: Mt. Etna and Campi Flegrei/Vesuvius. The MED-SUV VRE provides advanced services for heterogeneous data and information management and sharing. MED-SUV started identifying the main supersite requirements including: the interoperability with existing data/information supply systems, the support of policy-based access control, the access to processing capabilities provided by external platforms, the management resources for publishing and sharing new products, the integration with significant global systems such as GEOSS and EPOS. MED-SUV adopted a System of Systems (SoS) approach to address interoperability with the identified heterogeneous systems supplying data and information. The SoS approach is based on a brokering architecture, where a specialized component (i.e the MED-SUV Broker: MSB) connects the existing and next-coming data sources leaving them autonomous. MSB carries out all the necessary mediation and harmonization tasks exposing standard interfaces enabling the interconnection with external systems like GEOSS and EPOS. In addition, MSB is accessible via a JavaScript library implementing Web APIs to facilitate the development of Web and mobile applications. 相似文献
19.
20.
Linked Geoscience Data in practice: where W3C standards meet domain knowledge,data visualization and OGC standards 总被引：1，自引：0，他引：1
Xiaogang Ma 《Earth Science Informatics》2017,10(4):429-441
The geoscience community is now facing both the challenge and the opportunity caused by the vast amount of datasets that can be made available on the Web. An efficient “data environment” on the Web has the potential to enable geoscientists to conduct their research in ways that never existed before. Standards developed by the Open Geospatial Consortium have already been used widely to build data services among different subjects in geosciences. In recent years, the Linked Open Data approach initiated by the World Wide Web Consortium has received increasing attention. In this paper, the author presents a pilot study that uses a domain specific knowledge base and data visualization techniques to leverage the functionality of geoscience data services in the Web of Data. The study focuses on the topic of the geologic time scale. Detailed works such as semantic modeling and encoding, multilingual vocabularies, exploratory data visualization, web map service and processing, and the query of linked data are introduced through real-world datasets. This study faces a broad perspective of the Linked Geoscience Data and leverages the functionalities of existing standards into a new level for geoscience applications. 相似文献