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  <front>
    <journal-meta />
    <article-meta>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Brandon Whitehead</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Benjamin Adams</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Mark Schildhauer</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Charles Vardeman</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Werner Kuhn</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Adam Shepard</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff6">6</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Krishna Sinha</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff5">5</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Center for Research Computing, University of Notre Dame</institution>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Centre for eResearch, University of Auckland</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Introduction &amp; Related Work</institution>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>National Center for Ecological Analysis and Synthesis</institution>
          ,
          <addr-line>UCSB</addr-line>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>University of Munster</institution>
        </aff>
        <aff id="aff5">
          <label>5</label>
          <institution>Virginia Polytechnic Institute and State University</institution>
          ,
          <country country="US">USA</country>
        </aff>
        <aff id="aff6">
          <label>6</label>
          <institution>Woods Hole Oceanographic Institution</institution>
        </aff>
      </contrib-group>
      <abstract>
        <p>A core concept in geoscience/physical science research is the concept of transport. We present an ontology design pattern for the notion of transport in the geosciences using natural language coupled with a concept map. The top level concepts of the Transport Pattern are transport entity, transport mechanism, and transport event. These concepts are described in detail, and a brief example is provided to illustrate the usefulness of the pattern.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        The Semantic Transport ODP is designed to be compatible with other ODPs
generated during the GeoVoCamp8 series of workshops. Previous workshops
focused on a range of geo-spatial topics from cartographic map scaling [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ] to
semantic trajectories [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. Of particular note, the Semantic Transport ODP can
operate in tandem with the the Semantic Trajectory pattern [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ] as the former
describes the entity and energy of transport, and the latter describes the path
along which the transport occurred.
      </p>
      <p>
        The Semantic Transport pattern is also conceptually related to the proposed
Move ontology design pattern9 that is derived from the CIDOC model [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. The
Semantic Transport pattern, however, decouples the source energy from the
entity being displaced while capturing their interdependence.
2
      </p>
    </sec>
    <sec id="sec-2">
      <title>Transport Pattern</title>
      <p>In this section we present the core elements of the Semantic Transport pattern,
and describe how it can be extended to cover two di erent types of transport:
active and passive. We focus on applying the Semantic Transport ODP in the
context of physical systems, though it may also be useful for other domains, e.g.
describing cultural transmission.
2.1</p>
      <sec id="sec-2-1">
        <title>Core elements</title>
        <p>The Semantic Transport pattern consists of three core concepts: Event, Entity,
and Mechanism (see Manchester OWL syntax following this paragraph). The
TransportEvent acts as the top level concept for the pattern. A TransportEvent
describes a speci c transport phenomenon, as movement of some mass or
energy (measurable entity) from one location to another, based on a common and
persistent frame of reference. Induction of the mass or energy movement can
arise from the transported entity itself, or from external sources. The
TransportEvent thus has two main parts, TransportEntity and TransportMechanism.
The TransportEntity concept represents the identity of the circumscribed
portion of energy or mass that is moved. The TransportMechanism concept captures
the nature of the source that acts upon the TransportEntity, and thus induces a
TransportEvent.</p>
        <sec id="sec-2-1-1">
          <title>Class: TransportEvent</title>
        </sec>
        <sec id="sec-2-1-2">
          <title>TransportEvent SubClassOf owl:Thing</title>
        </sec>
        <sec id="sec-2-1-3">
          <title>TransportEntity SubClassOf partOf some TransportEvent</title>
        </sec>
        <sec id="sec-2-1-4">
          <title>TransportMechanim SubClassOf partOf some TransportEvent</title>
        </sec>
        <sec id="sec-2-1-5">
          <title>Class: TransportMechanim</title>
        </sec>
        <sec id="sec-2-1-6">
          <title>TransportMechanim SubClassOf owl:Thing</title>
        </sec>
        <sec id="sec-2-1-7">
          <title>TransportMechanim SubClassOf partOf some TransportEvent</title>
          <p>8 http://vocamp.org/wiki/GeoVoCampSB2013
9 http://ontologydesignpatterns.org/wiki/Submissions:Move</p>
        </sec>
        <sec id="sec-2-1-8">
          <title>Class: TransportEntity</title>
        </sec>
        <sec id="sec-2-1-9">
          <title>TransportEntity SubClassOf owl:Thing</title>
        </sec>
        <sec id="sec-2-1-10">
          <title>TransportEntity SubClassOf partOf some TransportEvent</title>
          <p>The TransportEvent has one top level property, the referenceFrame (see
Manchester OWL syntax following this paragraph). The referenceFrame
provides context to the pattern by specifying spatial and temporal qualities of any
associated observations via the speci cation of time and location information
associated with the TransportEvent. As time and location can be xed or
relative, abstracting the property types serves to facilitate semantic interoperability
between disparate data entities.</p>
        </sec>
        <sec id="sec-2-1-11">
          <title>ObjectProperty: referenceFrame referenceFrame Domain TransportEvent referenceFrame Range TransportEvent</title>
          <p>It is worth noting that even if the transported entities were to return somehow
to their exact place of departure, they still participated in a TransportEvent, even
if their initial and nal locations result in no net change in location.
2.2</p>
        </sec>
      </sec>
      <sec id="sec-2-2">
        <title>Extending the Transport Pattern</title>
        <p>Figure 1 illustrates the Semantic Transport pattern along with a few logical
extensions to illustrate how the pattern might be used. The pattern constructs are
depicted in gure 1 using black text in translucent shapes. Further, all classes
in the gure are represented using an oval, and each square box delineates a
property. In most cases there will be interest in a more speci c description of
the event. These additional aspects are accommodated by extending the pattern
through subclassing of the existing TransportMechanism and TransportEntity
concepts, while adding properties to the referenceFrame (Figure 1). These
additional pragmatic components are included in gure 1. Class symbols with red
text are examples of the nomenclature that may be used as a
TransportMechanism. Sub-properties with blue text illustrate examples of modules that may be
described as part of the constructs comprising the referenceFrame.</p>
        <p>
          The TransportMechanism can be usefully subclassed into specialised topics,
such as in the case of involving disjoint classes such as PassiveTransport and
ActiveTransport. Classic examples of PassiveTransport include, e.g. di usion or
osmosis, while ActiveTransport would include, e.g. ATP pumps or air travel [
          <xref ref-type="bibr" rid="ref1">1</xref>
          ].
        </p>
        <p>
          The referenceFrame is a non-trivial property. Geoscience phenomena often
exhibit unique statistical signatures as mechanical, chemical, and biological
processes work in tandem, or asynchronously, through time as they tend toward
equilibrium [
          <xref ref-type="bibr" rid="ref6">6</xref>
          ]. This property is signi cant in that it serves to preserve the
spatiotemporal information necessary to maintain a consistent granularity of context
throughout the pattern.
        </p>
        <p>
          Further, an observation (as it relates to the referenceFrame in gure 1) is
considered semantically equivalent to other well established geoscience
explications, namely the observation entities associated with the Sensor Observation
Service10 (SOS) and the Geography Markup Language11 (GML), as well as the
concept of a \ x" in the Semantic Trajectory pattern [
          <xref ref-type="bibr" rid="ref5">5</xref>
          ].
        </p>
        <p>Of course, further subclassing will likely be necessary for this pattern to
connect, and be useful, to much of the disparate data available to geoscientists.
The current framework is complete and extendable. By creating logical semantic
equivalences to constructs already used throughout the domain, the Semantic
Transport pattern can be a powerful module when mining and ltering large
data stores.
3</p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>Summary and Future Work</title>
      <p>In this paper we presented an ontology design pattern to describe transport
phenomena. The core Semantic Transport ODP is deliberately simpli ed to essential
elements, to be applicable to a wide range of use cases in the physical sciences.
We described how the Transport pattern can be extended for Active and Passive
transport and illustrate brie y how it might be used to interoperate over large
disparate geoscience data.
10 http://www.opengeospatial.org/standards/sos
11 http://www.opengeospatial.org/standards/gml</p>
      <p>Next steps will involve how the ODP can be lled out to describe data for a
variety of use cases, as well as application and usability testing. An important
future extension to the pattern for application to the physical sciences will
include explicating the relationship between concepts such as system and energy
input (in terms of entropy of the system).</p>
    </sec>
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