[esip-semantictech] FW: OGC invites you to indulge in a SELFIE: the Second Environmental Linked Features Interoperability Experiment

Thu Feb 21 11:04:00 EST 2019

Hi esip-semanticweb@,
See below...
Lewis

On 2/21/19, 7:48 AM, "TC-Announce on behalf of tc-announce-request at lists.opengeospatial.org" <tc-announce-bounces+lewis.j.mcgibbney=jpl.nasa.gov at lists.opengeospatial.org on behalf of tc-announce-request at lists.opengeospatial.org> wrote:

    Message: 2
    Date: Thu, 21 Feb 2019 09:42:22 -0500
    From: "announce at opengeospatial.org" <announce at opengeospatial.org>
    To: tc-announce at lists.opengeospatial.org
    Subject: [TC-Announce] OGC invites you to indulge in a SELFIE: the
    	Second Environmental Linked Features Interoperability Experiment
    Message-ID: <ae21100c7546ef982cba58af53293b93 at opengeospatial.org>
    Content-Type: text/plain; charset="utf-8"

    OGC invites you to indulge in a SELFIE: the Second Environmental Linked
    Features Interoperability Experiment

    SELFIE aims to create a standards-based method to publish and use linked
    data that's compatible with current web development/W3C best practices

    <http://mail.opengeospatial.org/lists/lt.php?tid=PGv8DCVogn2ZXcZOGo6RMPEk9gLWvfWDijSA0yFwqIizd5oDuLqa8YGYOTtSnVIr>

    Contact: techdesk at opengeospatial.org 

    21 February 2019: The Open Geospatial Consortium (OGC) invites interested
    members & non-members to participate in OGC's Second Environmental Linked
    Feature Interoperability Experiment (SELFIE)
    <http://mail.opengeospatial.org/lists/lt.php?tid=pCKHBxlBYFmTtozvhEP7//Ek9gLWvdWDijSA0yFwqIizd5oDuLrK8YGYOTtSnVIr>
    . SELFIE is one part of an ongoing initiative of OGC to build a web of
    environmental data in such a way that it is easily and reliably discovered,
    navigated, and used by contemporary web developers.

    In recent years, environmental domain data models have been established by
    a number of OGC groups, including the Hydrology, Agriculture, Geoscience,
    and Meteorology & Oceanography Domain Working Groups. However, there is no
    best practice or standard methodology to encode documents that link
    features in different domains - such as a rivers, aquifers, or soils - with
    observational data about those features. A common approach to encoding such
    links is required to allow cross-domain and cross-system sharing and
    interoperability of such linked information.

    With this in mind, the original ELFIE
    <http://mail.opengeospatial.org/lists/lt.php?tid=xmfhL0K1/ruRsAFKfwbQdfEk9gLWvaWDijSA0yFwqIizd5oDuLqa8YGYOTtSnVIr>
    brought together interested stakeholders around the shared goal of
    providing a best practice for encoding documents that express links between
    hydrologic and related features from models. The Experiment produced the
    public OGC Environmental Linked Features Interoperability Experiment
    Engineering Report
    <http://mail.opengeospatial.org/lists/lt.php?tid=f6D8cFoyiYKTGLdhsXLL//Ek9gLWvQWDijSA0yFwqIizd5oDuLpq8YGYOTtSnVIr>
    summarizing the overall cross-domain, inter-standard findings and
    recommendations for a best practice and/or standard that should follow. A
    summary of ELFIE is available on the OGC ELFIE Project Page
    <http://mail.opengeospatial.org/lists/lt.php?tid=xmfhL0K1/ruRsAFKfwbQdfEk9gLWvaWDijSA0yFwqIizd5oDuLqa8YGYOTtSnVIr>
    .

    Building on the content-focused outcomes of the first ELFIE, SELFIE will
    design and vet a Web-resource model for APIs to follow as well as network
    behavior for cross-domain linked feature data that complements and uses
    WFS3 as a building block. This aims to answer the question: ?How do we
    use linked data in a way that's compatible with W3C best practices and
    leverages OGC standards?'

    SELFIE aims for focused simplicity, representing resources built from
    potentially complex data for easy use on the Web. While SELFIE will test a
    specific resource model and will follow W3C best practices and OGC
    standards, a wide range of participant-provided domain-use cases will be
    used for testing. Ultimately, this work is intended to satisfy the needs of
    many use cases and many kinds of features, from disaster response &
    resilience to environmental health and the built environment. 

    If you are interested in participating in the Second Environmental Linked
    Feature Interoperability Experiment (SELFIE), please contact
    techdesk at opengeospatial.org.

    The kickoff will be held via telecon on 29th April 2019. To learn more
    about SELFIE, including details concerning the kickoff telecon, visit the
    Second Environmental Linked Feature Interoperability Experiment (SELFIE)
    webpage
    <http://mail.opengeospatial.org/lists/lt.php?tid=pCKHBxlBYFmTtozvhEP7//Ek9gLWvdWDijSA0yFwqIizd5oDuLrK8YGYOTtSnVIr>
    on OGC's website.

    About OGC

    The Open Geospatial Consortium (OGC) is an international consortium of more
    than 525 companies, government agencies, research organizations, and
    universities participating in a consensus process to develop publicly
    available geospatial standards. OGC standards support interoperable
    solutions that ?geo-enable' the Web, wireless and location-based
    services, and mainstream IT. OGC standards empower technology developers to
    make geospatial information and services accessible and useful within any
    application that needs to be geospatially enabled. Visit the OGC website at
    http://mail.opengeospatial.org/lists/lt.php?tid=N8N+Gj0p6pi01nTpo5zuUPEk9gLWvUWDijSA0yFwqIizd5oDuLqK8YGYOTtSnVIr
    .

    This press release is also available online at:
    opengeospatial.org/pressroom/pressreleases/2958
    <http://mail.opengeospatial.org/lists/lt.php?tid=PGv8DCVogn2ZXcZOGo6RMPEk9gLWvfWDijSA0yFwqIizd5oDuLqa8YGYOTtSnVIr>

    EDITORS: When publishing this on your blog or website, we kindly request
    that you link back to the above URL.

    The image used in the PR is available without text or logo here
    <http://mail.opengeospatial.org/lists/lt.php?tid=Fu3uTq4JE3CvZXB36KMtn/Ek9gLWvXWDijSA0yFwqIizd5oDuLp68YGYOTtSnVIr>
    .

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