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      <title-group>
        <article-title>Using Stases to Enrich Queries for When and Where Regulations Are in Force</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Jonathan M. Vajda</string-name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>J. Neil Otte</string-name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Cooper Stansbury</string-name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Frank J. Manion</string-name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Marcelline R. Harris</string-name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Cui Tao</string-name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="editor">
          <string-name>Common Core Ontologies, Stasis, Regulation</string-name>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>University at Buffalo (SUNY)</institution>
          ,
          <addr-line>Buffalo, NY</addr-line>
          ,
          <country country="US">USA;</country>
          <institution>b Johns Hopkins University Applied Physics Laboratory</institution>
          ,
          <addr-line>Laurel, MD</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>University of Michigan</institution>
          ,
          <addr-line>Ann Arbor, MI</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>University of Texas Health Science Center at Houston</institution>
          ,
          <addr-line>Houston, TX</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>https://github.com/CommonCoreOntology/CommonCoreO ntologies https://github.com/ICO-ontology/ICO/ Arp</institution>
          ,
          <addr-line>R., Smith, B., Spear, A. D. (2015). Building Ontologies with Basic Formal Ontology. Cambridge, MA: MIT Press. https:/</addr-line>
          <institution>/github.com/information-artifact-ontology/IAO https://github.com/d-acts/d-acts https://</institution>
        </aff>
      </contrib-group>
      <abstract>
        <p />
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Ontologies in OWL suffer limitations in time-indexing, yet these
difficulties may be overcome with the use of the class ‘stasis’ in
the Common Core Ontologies. The Informed Consent Ontology
exemplifies an effective implementation of stases for tracking
whether a biospecimen or informed consent process is subject to
regulations in the relevant jurisdiction. Other OBO Foundry
ontologies may be similarly improved by using stases.</p>
    </sec>
    <sec id="sec-2">
      <title>Introduction</title>
      <p>Ontologies in OWL (Web Ontology Language) inherit limitations
in time-indexing that can impact referent tracking. In Basic
Formal Ontology (BFO), relations between continuants are three
place, holding between two continuants and a temporal region; in
the OWL version of BFO, only two place relations are possible
and the temporal dimension is often unrepresented. The Common
Core Ontologies (CCO) recognize a pattern that aids tracking
when relations between continuants hold: such continuants also
participate in a stasis of an associate type, where CCO defines
‘stasis’ as “A Process in which some Independent Continuant
endures and one or more of the dependent entities it bears does
not change in kind or intensity”.1 Hence, a regulation and the
jurisdiction in which it resides both participate in a stasis of
regulation that occurs at a particular temporal region.
Here, we showcase how this approach effectively facilitates
queries regarding whether, where, and when a regulatory
document (e.g., US law, company policy) is in force. Our target
case involves highly regulated environments, such as clinical and
research contexts, for obtaining consent for procuring, storing,
and using biospecimens and associated data, for which biobanks
have an urgent need to monitor and track. The Informed Consent
Ontology (ICO) 2 enumerates classes we employ to represent the
regulatory and policy decisions involved in regulated research, as
well as a representation of the permissions that result.</p>
    </sec>
    <sec id="sec-3">
      <title>Methods</title>
      <p>ICO imports the top-level ontology, Basic Formal Ontology
(BFO), as well as the Information Artifact Ontology (IAO), and
the Document Acts Ontology (D-Acts). Since BFO is a formal
ontology containing only high-level terms, it is suitable for use
across domains and facilitates semantic interoperability with
other ontologies that import it.3 IAO is a mid-level ontology that
models information entities such as documents, data, and plan
specifications.4 D-Acts is an extension of IAO and represents
document acts (e.g. creating obligations through a contract) and
deontic roles (e.g., a role based on normative expectations of how
the bearer should behave).5 ICO incorporated components of the
Common Rule Ontology (CRO), which represents the US
Common Rule,6 and generalized the classes for international use.</p>
    </sec>
    <sec id="sec-4">
      <title>Results</title>
      <p>Ontologies enriched with stases allow queries for when and where
regulations of various kinds of activities hold. We provide sample
queries employing of the new classes now available in ICO. Our
poster contains: an outline of the relevant entities and their
placement in BFO-conformant ontologies, an explanation of the
relationships that regulations have to the processes they govern,
and some sample queries showing the robustness of our
representation which would be impaired without stasis.</p>
    </sec>
    <sec id="sec-5">
      <title>Conclusions</title>
      <p>We believe this pattern may be generalized and that stases will
prove useful to other OBO Foundry ontologies as they deal with
the limitations of OWL for temporal reasoning.</p>
    </sec>
    <sec id="sec-6">
      <title>Acknowledgements</title>
      <p>This work was supported in part by NIH/NHGRI 5U01HG99454
(Tao, PI), and University of Michigan MIDAS data science
challenge award (Harris, co-PI).
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