DAML JBI TIE - slide "Notices to Airmen (NOTAMs)"

effort under AFRL In-Flight Management (IFM) PRDA

Ed DePalma is COTR; Rusty Bobrow of BBN is PI
apply natural language technology to generate OWL from "pidgin" text used in NOTAMs

example (much more structured than most):

  
A0126/03 NOTAMN A) KSFO B) 0304010630 C) 0304041500 D) 0630-1500 DLY E) QMRLC 01R/19L

<NOTAM rdf:about="uri:uuid:c2f41010-65b3-11d1-a29f-00aa0c14882">
  <qcode>QMRLC</qcode>
  <icao rdf:resource="http://www.daml.org/cgi-bin/airport?KSFO"/>
  <text>A0126/03 NOTAMN A) KSFO B) 0304010630 C) 0304041500 D) 0630-1500 DLY E) QMRLC 01R/19L</text>
  <id>A0126/03</NS0:id>
  <effective>200304010630<effective>
  <about>
    <RunwayStatusReport>
      <runwayOf>
        <Runway/>
      </runwayOf>
      <statusOf>
        <RunwayClosed/>
      </statusOf>
      <intervalOf>
        <IntervalDescription>
          <daysOf>
            <DayOfWeek/>
          </daysOf>
          <low>0630</low>
          <high>1500</high>
        </IntervalDescription>
      </intervalOf>
    </RunwayStatusReport>
  </about>
</NOTAM>

over 1 million NOTAMs processed
- we're using a snapshot of 24,374 NOTAMs active on March 30
caveats
- "bottom-up ontology" from natural language parser
  - could canonicalize via post-processing
- currently handle 50-75% of the text

NOTAMs are internally typed using QCodes <= look here
- OWL representation (TBD) (dumpont)
- caveat: not required for civilian NOTAMs
  - could be synthesized from other features
- real-life example of multiple inheritance