<div dir="ltr"><div class="gmail_default" style="font-family:garamond,serif;font-size:large">I like the idea of leveraging some of the "topics" that will be, or have been discussed</div><div class="gmail_default" style="font-family:garamond,serif;font-size:large">and presented at FOIS. These often a a bit deeper discussion than we have at Ontolog </div><div class="gmail_default" style="font-family:garamond,serif;font-size:large">sessions and they provide natural starting points and researchers that we can leverage.</div><div class="gmail_default" style="font-family:garamond,serif;font-size:large">Examples from the upcoming 2018 FOIS (which many of us may not have the $$ to </div><div class="gmail_default" style="font-family:garamond,serif;font-size:large">travel to include these areas which seem interesting especially the role in Open Science</div><div class="gmail_default" style="font-family:garamond,serif;font-size:large">which I think is a strong opportunity, but not well understood by many working in the more</div><div class="gmail_default" style="font-family:garamond,serif;font-size:large">traditional open data/Science field. Ontologies are mentioned by not really deeply, wisely</div><div class="gmail_default" style="font-family:garamond,serif;font-size:large">or consistently used:</div><div class="gmail_default" style="font-family:garamond,serif;font-size:large"><br></div><div class="gmail_default" style="font-family:garamond,serif;font-size:large">
<div style="font-family:arial,sans-serif;font-size:16px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial">l"...latest developments in <i><b>ontology-mediated data integration, data access and analysis techniques, and data-driven applications, with a special focus on Science and Innovation (S&I) data management for decision and policy-making</b></i>. Currently, key S&I data elements are dispersed across a multitude of distinct agencies and research institutions or are in third-party databases. They are often neither in structured format nor systematically shared across organisations, and the universe of data on publications, citations, and patents (among others) is typically maintained into closed-off silos.</div><div style="font-family:arial,sans-serif;font-size:16px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-family:arial,sans-serif;font-size:16px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial">In such a context, ontology-mediated data management infrastructures can help bringing together inputs and outcomes from a variety of sources in an open and interoperable fashion.</div><div style="font-family:arial,sans-serif;font-size:16px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial">The workshop will be a great opportunity to synthesise new insights and disseminate knowledge across field boundaries to promote the interaction between the different stakeholders.</div><div style="font-family:arial,sans-serif;font-size:16px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial">We welcome original contributions, in the form of discussion papers, experimental contributions, system and demo descriptions, about data management applications that make use of ontologies and ontology-based tools for S&I decision and policy-making, including but not limited to:</div><div style="font-family:arial,sans-serif;font-size:16px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-family:arial,sans-serif;font-size:16px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial">*<b><i>Ontology-based systems for Open Science and Open Innovation (OS&OI)</i></b>*</div><div style="font-family:arial,sans-serif;font-size:16px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial">- Science, Technology and Innovation (STI) ontology specification and management: open issues and experiences</div><div style="font-family:arial,sans-serif;font-size:16px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial">- Ontology-based harmonisation of STI Subject Classification Systems</div><div style="font-family:arial,sans-serif;font-size:16px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial">- Ontologies for STI qualitative data management (e.g., policy instruments, target populations, technology sector coverage, surveys and policies assessment)</div><div style="font-family:arial,sans-serif;font-size:16px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial">- Machine learning and ontology engineering coupling experiences to improve quantity and quality of STI indicators</div><div style="font-family:arial,sans-serif;font-size:16px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial"> - Ontology-mediated data management platforms for impact evaluation</div>
<br></div><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div><font face="garamond,serif" size="4">Gary Berg-Cross Ph.D. </font></div><div><font face="garamond,serif" size="4">Independent Consultant</font></div><div><font face="garamond,serif" size="4">Potomac, MD</font></div><div><font face="garamond,serif" size="4">240-426-0770</font></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><br><br><div class="gmail_quote"><div dir="ltr">On Wed, Jun 13, 2018 at 3:36 AM Alex Shkotin <<a href="mailto:alex.shkotin@gmail.com">alex.shkotin@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div style="font-family:georgia,serif">and we need some CNL for semantic unification too.</div><div style="font-family:georgia,serif"><br></div><div style="font-family:georgia,serif">By the way, one requirement to OL is verbalization - any OL-sentence must be available in English at least. Then we have OL and it's CNL.</div><div style="font-family:georgia,serif">For CNL on its own, the first in my mind is ACE of Attempto project, but it has no variables.</div><div style="font-family:georgia,serif"><br></div><div style="font-family:georgia,serif">It may be a requirement or a feature of an OL to have DL as a sublanguage :-)</div><div style="font-family:georgia,serif"><br></div><div style="font-family:georgia,serif">And the third list of OL should be in DOL.</div><div style="font-family:georgia,serif"><br></div><div style="font-family:georgia,serif">Alex</div></div><div class="gmail_extra"><br><div class="gmail_quote">2018-06-12 20:40 GMT+03:00 Cory Casanave <span dir="ltr"><<a href="mailto:cory-c@modeldriven.com" target="_blank">cory-c@modeldriven.com</a>></span>:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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<p class="MsoNormal">In my initial message on this topic I purposely did not nominate any languages as that would best be done as part of the summit. One thing I would suggest is that we cast a wide net and include various approaches including logic programming,
rules languages and perhaps even “machine learning”. While there may be semantic unification points like common logic, there are pragmatics and human factors that are significant. By identifying requirements and how those requirements are met the substantive
differences between languages and/or frameworks may be more apparent. There is substantial confusion in the industry and among users, some of it purposeful “marketing”, that this forum could help in applying disciplined analysis resulting in justifiable conclusions.<u></u><u></u></p>
<p class="MsoNormal">-Cory<u></u><u></u></p>
<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal"><span><b>From:</b> <a href="mailto:ontolog-forum@googlegroups.com" target="_blank">ontolog-forum@googlegroups.com</a> <<a href="mailto:ontolog-forum@googlegroups.com" target="_blank">ontolog-forum@googlegroups.com</a>>
<b>On Behalf Of </b>Alex Shkotin<br>
</span><b>Sent:</b> Tuesday, June 12, 2018 12:08 PM<span><br>
<b>To:</b> ontolog-forum <<a href="mailto:ontolog-forum@googlegroups.com" target="_blank">ontolog-forum@googlegroups.com</a>><br>
<b>Subject:</b> Re: [ontolog-forum] Topic for Next Summit : Ontology languages: Requirements and capabilities<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif">Ravi, <u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif"><u></u> <u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif">@1. maybe we should have a list of Onto-Languages on our community website. Other then HeTS list is here <a href="https://en.wikipedia.org/wiki/Ontology_language" target="_blank">https://en.wikipedia.org/wiki/Ontology_language</a><u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif">Preferred should be languages used by somebody available for our community to share the experience.<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif"><u></u> <u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif">@2. Use and test cases should come from different sciences (outside of math and software specification;-) and technologies.<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif">one form of use case may be just "How do you express NL sentence S1 on language L1?"<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif">another form may be a description of a small world like in Einstein puzzle and formalization on different Onto-Languages and demonstration of auto reasoning if any. <u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif">For example, they say that Einstein puzzle is solved by DL-reasoner.<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif"><u></u> <u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif">Alex<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif"><u></u> <u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif"><u></u> <u></u></span></p>
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<p class="MsoNormal">2018-06-09 21:33 GMT+03:00 Ravi Sharma <<a href="mailto:drravisharma@gmail.com" target="_blank">drravisharma@gmail.com</a>>:<u></u><u></u></p>
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<p class="MsoNormal">John and Alex<u></u><u></u></p>
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I am not an expert in Software Development Languages, so we have two more added (SGML and Hets) or if community likes them then "Preferred" ontology Language Candidates for development or for tools.<u></u><u></u></li><li class="MsoNormal">
How would we classify use cases? Would we concentrate on Ontology tools (Apps) for Processing or Knowledge Engineering NL or Media Data or Languages used for developing ontologies?<u></u><u></u></li></ol>
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<p class="MsoNormal">Regards<u></u><u></u></p>
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<p class="MsoNormal"><span style="color:#888888">Ravi<u></u><u></u></span></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal">On Sat, Jun 9, 2018 at 1:15 AM, Alex Shkotin <<a href="mailto:alex.shkotin@gmail.com" target="_blank">alex.shkotin@gmail.com</a>> wrote:<u></u><u></u></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif">Ravi,<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif"><u></u> <u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif">let's take a scope from here <a href="http://hets.eu/" target="_blank">http://hets.eu/</a><u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif">just to begin with. <u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif">What do you think?<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif;color:#888888"><u></u> <u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Georgia",serif;color:#888888">Alex<u></u><u></u></span></p>
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<p class="MsoNormal">2018-06-09 0:21 GMT+03:00 Ravi Sharma <<a href="mailto:drravisharma@gmail.com" target="_blank">drravisharma@gmail.com</a>>:<u></u><u></u></p>
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<p class="MsoNormal">Cory and<span style="font-size:12.0pt"> for ALL</span><u></u><u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal">A good start, thanks, here is my comment.<u></u><u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal">Can you scope the languages we know are already in use and their relevance (our current opinion) to ontologies:<u></u><u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal">Language - vs - Ontology relevance (H, M, L) for development and for other categories.<u></u><u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal">OWL<u></u><u></u></p>
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<p class="MsoNormal">UML - SysML etc.<u></u><u></u></p>
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<p class="MsoNormal">IKL<u></u><u></u></p>
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<p class="MsoNormal">Cyc (?)<u></u><u></u></p>
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<p class="MsoNormal">Prolog<u></u><u></u></p>
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<p class="MsoNormal">NLs<u></u><u></u></p>
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<p class="MsoNormal">Programming Languages? C++ Python .......R<u></u><u></u></p>
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<p class="MsoNormal">Transportation languages: XML, XBRL, <u></u><u></u></p>
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<p class="MsoNormal">And Business Rules Languages ....<u></u><u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal">....<u></u><u></u></p>
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<p class="MsoNormal">Also Apps oriented langualges<u></u><u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal">etc.<u></u><u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal">Then requirements and use cases depicted or described in these languages that match "H" or "M" are suitable candidates for Ontology Engineering (?)<u></u><u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal">Regards,<u></u><u></u></p>
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<p class="MsoNormal">Ravi<u></u><u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal">On Fri, Jun 8, 2018 at 1:14 PM, John Bottoms <<a href="mailto:john@firststarsystems.com" target="_blank">john@firststarsystems.com</a>> wrote:<u></u><u></u></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt">Wm, (IANAL - I am not a lawyer...)<br>
<br>
I have been working on eLetters of Credit, and there are things in that arena that may be applicable; specifically "If an ontology is, or may be used in litigation or forensics, then there are legal considerations." It may also be said that if an ontology is
used fraudulently by intentionally then this is said to "Raise the Question", which may invoke additional investigation or discovery.<br>
<br>
My work in VR had lead me to discover that the agreements made in a VR context have the weight of law, and in effect, there are few differences between real-world legal proceedings and VR legal proceedings. There are cases that have established relevant precedents.<br>
<br>
<span style="font-family:"Times New Roman",serif">During a business relationship that is operating under a Letter of Credit the following is entailed: In the event of an error or fraud, there is an arbitration procedure that is recommended by UPC-600. If the
parties cannot come to an agreement under that specification, then they can seek resolution in the courts. This means that the Letters of Credit exhibit documents must be "principled" to the degree that they will stand as contractual instruments in court.<br>
<br>
I assume the same is true for business agreements that incorporate an ontology as a mechanism that is integral to the agreement.<span style="color:#888888"><br>
<br>
<span class="m_-2591208668416058718m_-5756165948072289771m3406044700522518736m-3010641491975777450m-8306093623509978949hoenzb">-John Bottoms</span><br>
<span class="m_-2591208668416058718m_-5756165948072289771m3406044700522518736m-3010641491975777450m-8306093623509978949hoenzb"> Concord, MA</span></span></span>
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<u></u><u></u></p>
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<p class="MsoNormal">On 6/8/2018 1:50 PM, William Frank wrote:<u></u><u></u></p>
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<p class="MsoNormal">++! corey<u></u><u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal">On Fri, Jun 8, 2018 at 11:47 AM, Cory Casanave <<a href="mailto:cory-c@modeldriven.com" target="_blank">cory-c@modeldriven.com</a>> wrote:<u></u><u></u></p>
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<p class="MsoNormal">I would be interested in more depth on the requirements on (not for) ontology languages and an evaluation of the capabilities of the various languages.<br>
<br>
There are many capabilities and classes of use cases claimed for ontologies and semantic technologies. What requirements do these claims imply for ontological and semantic languages, tools and infrastructure? What languages, tools and infrastructure deliver
on these capabilities? <br>
<br>
<br>
Examples: <br>
Understanding a cyber attack chain may require representing actors and actors over time. What provides sufficient temporal reasoning?<br>
Understanding intent may require context, as was discussed in the 2018 summit. How is context handled in ontological languages?<br>
Federated information may be inconsistent or untrusted. How is conflict and trust handled?<br>
Business rules are rules about rules and behavior. How are higher-order relations handled?<br>
Practical enterprise systems require some closed world reasoning. How can open world and closed world work together?<br>
The world and data about it changes. How is change represented?<br>
Analytics and information sharing deal with big, distributed and fast-moving data. How can ontologies be used at scale?<br>
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For each of the above, what ontology and/or rules languages have the features and performance to realize the claims of the ontology community?<br>
<br>
My journey though ontologies has led me to the conclusion that some of the popular approaches do not have what it takes to realize the claims made.<br>
This would, of course, elicit some controversy. But controversy builds interest and an informed conclusion could be of substantial value.<br>
<span style="color:#888888"><br>
<span class="m_-2591208668416058718m_-5756165948072289771m3406044700522518736m-3010641491975777450m-8306093623509978949m-3485449808285722651hoenzb">-Cory Casanave</span><br>
<br>
<br>
<br>
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<p class="MsoNormal"><br>
<br clear="all">
<u></u><u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal"><span class="m_-2591208668416058718m_-5756165948072289771m3406044700522518736m-3010641491975777450hoenzb"><span style="color:#888888">--
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<p class="MsoNormal"><span style="color:#888888">Thanks.<br>
Ravi<br>
(Dr. Ravi Sharma)</span><u></u><u></u></p>
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<p class="MsoNormal"><span style="color:#888888"> </span><span style="font-size:9.5pt;color:#888888">313 204 1740 Mobile </span><span style="color:#888888"><u></u><u></u></span></p>
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<u></u><u></u></p>
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<p class="MsoNormal">-- <u></u><u></u></p>
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<p class="MsoNormal">Thanks.<br>
Ravi<br>
(Dr. Ravi Sharma)<u></u><u></u></p>
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<p class="MsoNormal"> <span style="font-size:9.5pt">313 204 1740 Mobile </span><u></u><u></u></p>
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