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    herbis.org

    域名年龄: 9年6个月25天
    注册时间: 2015-04-05
    注 册 商: GMO Internet, Inc. d/b/a Onamae.com (R43-LROR)
    注册邮箱: privacy
    联系电话: +81.927137999

    获取时间: 2015年08月02日 12:46:56
    Domain Name:HERBIS.ORG
    Domain ID: D175930629-LROR
    Creation Date: 2015-04-05T22:42:36Z
    Updated Date: 2015-06-05T03:46:25Z
    Registry Expiry Date: 2016-04-05T22:42:36Z
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  • Peabody Museum - Herbis herbis.org
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    抓取时间:2012年07月13日 01:44:31
    网址:http://herbis.org/
    标题:Peabody Museum - Herbis
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    Herbis is the Erudite Recorded Botanical Information Synthesizer
    HOME | 
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    SEARCH COLLECTION | 
    PROJECT CONTACTS |
    NLP DEMO
    This project offers proof of concept and an initial implementation of 'one-button' specimen imaging and data capture.
    Clicking the shutter on a digital camera initiates a sequence that culminates with the population of label data and a 
    specimen image into a structured collection database. Our ultimate goal is to reduce the total cost of digital
    collection data capture by significantly reducing human labor required and total project duration. Significant gains can
    be achieved by developing appropriate protocols and methodologies, then packaging them as web services. Much of this
    can be accomplished by applying existing technology to data acquisition bottlenecks. 
    
    The technology required for digital image capture of specimens has become affordable, if not
    yet commonplace. Labor costs rather than the cost of equipment are likely the impediment for making digital image capture
    ubiquitous. Digital imaging projects often do nothing more with images than make them available for web display. However,
    an image can serve the additional purpose as the basis for label data capture. Along with specimen images, label data,
    particularly georeferenced label data, is a valuable public product for collections.
    Components of the technology we intend to implement are derived from computer
    vision and automated document processing domains and have been commercialized into off-the-shelf technologies. Our aim is to
    use open source or commercial solutions (and to develop solutions where necessary) that accelerate the herbarium specimen 
    data capture process. Each of these solutions (other than camera operation) will be embedded into web services, providing
    benefits such as cross-platform interoperability and scalability.
    
    Specific challenges in developing one-button herbarium specimen data capture
    include 1) rapid image capture, 2) web services development, 3) image to text conversion of label data, 4) text markup into
    data elements to simplify database loads, 5) and georeferencing. Our goal is to address these challenges as modular services
    that are mutually aware and configurable.
    Services will de designed and coded using an open source policy with future
    applicability in mind, so that distributed mirrored services can provide redundancy, flexibility, and control for institutions
    wishing to operate some or all of their own services. Image capture stations could conceivably be set up at any number of
    institutions. On a larger scale, distributed, mirrored services for optical character recognition (OCR), natural handwriting
    recognition (NHR), and natural language processing (NLP) would be available for image capture operators to choose amongst. 
    Configuration options will allows service providers and clients to define the specifics of their own data pipeline.
    Funded by the National Science Foundation Award #: DBI-0345341

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