BEGIN:VCALENDAR METHOD:REQUEST PRODID:Microsoft Exchange Server 2010 VERSION:2.0 BEGIN:VTIMEZONE TZID:Central Standard Time BEGIN:STANDARD DTSTART:16010101T020000 TZOFFSETFROM:-0500 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=1SU;BYMONTH=11 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010101T020000 TZOFFSETFROM:-0600 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=2SU;BYMONTH=3 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT ORGANIZER;CN=Robin Gandhi;SENT-BY="MAILTO:[email protected]":MAIL TO:[email protected] ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=spdx@lists .spdx.org:MAILTO:[email protected] DESCRIPTION;LANGUAGE=en-US:All\,\nI’m forwarding this on behalf of Robin from UNO. As you know\, UNO has been highly supportive of SPDX. The resear ch Robin is discussing is outside of the scope of SPDX\, but may be of int erest to some.\nPhil\n\n\n\nOn 7/6/17\, 4:15 PM\, "Robin Gandhi" <rgandhi@ unomaha.edu> wrote:\n\n Webinar:\n Join the call: https://www.uberco nference.com/robinagandhi\n Optional dial in number: 585-632-5623 PIN: 86451\n **Best to join using a computer as I will using screen share f or the demonstration.**\n \n When:\n Meeting Time: Thurs\, July 1 3\, 8am PDT / 10 am CDT / 11am EDT / 15:00 UTC. http://www.timeanddate.com /worldclock/converter.html\n \n Note:\n Hello all\,\n Please c onsider attending this conference call to provide feedback on a method to model legal text and its use for compliance analysis. The discussion will demonstrate associated tool support and discuss related model semantics.\n \n Here is an abstract from a recent paper that our team authored:\ n \n Modular Norm Models: A Frame-Semantic Approach\n Abstract— Norms in contractual agreements include claim-rights and corresponding du ties. Analysis of norms expressed in voluminous legal text can benefit fro m the automation and traceability of logic-based models. Such norm models help reason about available rights and required duties based on the satisf iability of situations\, a state-of-affair\, in a given scenario. But mode l extraction from natural language needs subject matter expertise. Complia nce reasoning in complex scenarios using large norm model networks is also difficult. We outline a novel method for modular norm model extraction an d reasoning. For extraction\, using the theory of frame-semantics we const ruct two foundational norm templates that cover Hohfeld’s concepts of cl aim-right and its jural correlative\, duty. Template instantiations from l egal text result in a re- peatable method for extraction of modular norm m odels. For reasoning\, we introduce the notion of a super-situation. Super - situations contain other norm models. Compliance results from a modular norm are propagated to its containing super-situation\, which in turn part icipates in other modular norms. This modularity allows on-demand incremen tal modeling and reasoning using simpler model primitives than previous ap proaches. We show our method on a variety of contractual statements in pri vacy and open source software domains.\n \n Here is the Github repos itory with some demonstration links: https://github.com/robinagandhi/modu larnorms\n \n UID:E23AA5A7-2427-42D7-999B-E110D4BA515A SUMMARY;LANGUAGE=en-US:FW: Modeling Legal Text: A Tool Demonstration DTSTART;TZID=Central Standard Time:20170713T100000 DTEND;TZID=Central Standard Time:20170713T110000 CLASS:PUBLIC PRIORITY:5 DTSTAMP:20170706T201526Z TRANSP:OPAQUE STATUS:CONFIRMED SEQUENCE:1 LOCATION;LANGUAGE=en-US:Join the call: https://www.uberconference.com/robin agandhi\nOptional dial in number: 585-632-5623\nPIN: 86451 X-MICROSOFT-CDO-APPT-SEQUENCE:1 X-MICROSOFT-CDO-OWNERAPPTID:2115450546 X-MICROSOFT-CDO-BUSYSTATUS:TENTATIVE X-MICROSOFT-CDO-INTENDEDSTATUS:BUSY X-MICROSOFT-CDO-ALLDAYEVENT:FALSE X-MICROSOFT-CDO-IMPORTANCE:1 X-MICROSOFT-CDO-INSTTYPE:0 X-MICROSOFT-DISALLOW-COUNTER:FALSE BEGIN:VALARM DESCRIPTION:REMINDER TRIGGER;RELATED=START:-PT15M ACTION:DISPLAY END:VALARM END:VEVENT END:VCALENDAR
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