Adam Fermier

Adam is passionate around Semantic Knowledge Management strategies as it applies to science, technology, engineering, arts and math (STEAM).  He works tirelessly on this effort and with a diverse team across industry and academia helping bring together the best talent wherever he finds it to help solve this critical problem for his professional trained field in analytical chemistry.   He has been key to driving value out of the strategy through the implementation of a “Recipe Data Warehouse” which is a key foundation for extracting greater value from the data we generate throughout the product development lifecycle and particularly valuable in the challenging area of product lifecycle management. 

Adam holds a Bachelors in Chemistry from Delaware Valley College and a PhD in Analytical Chemistry from the State University of New York at Buffalo. Throughout his career he has been quite active in publishing 15 papers and presenting over 80 oral presentations and holds six patent applications.  Adam has spent his entire professional career with Johnson and Johnson - a company that holds a passion to delivering medicines to patients based on its CREDO values. 

Recent Activity

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Sunday, March 26

Thursday, March 9

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    System must hit a low price point
     
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    Some maybe stating that these user requirements are indeed to high level - but we must put these forth to ensure the design around functional requirements are bounded in long term strategy of costs, quality and agility.  Drilling a little deeper on these user requirements from a scientific and engineering perspective exposes some key architectural requirements nicely defined by a broad spectrum of users under the leadership of "Extremely Large Database" and published in this article ref [1].
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    Some maybe stating that these user requirements are indeed to high level - but we must put these forth to ensure the design around functional requirements are bounded in long term strategy of costs, quality and agility.  Drilling a little deeper on these user requirements from a scientific and engineering perspective exposes some key architectural requirements nicely defined by a broad spectrum of users under the leadership of "Extremely Large Database" and published in this article ref [1] - you can also see the SciDB work here [2].
     
    ARCHITECTURAL REQUIREMENTS ---------------------------------------------------
     
    ARCHITECTURAL REQUIREMENTS ---------------------------------------------------
     
     
     
     
     
    [1] http://madsciguys.org/?q=node/346
     
    [1] http://madsciguys.org/?q=node/346
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    [2] http://madsciguys.org/node/7075
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Wednesday, March 8

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    knowledge persuasionP6Given our fact we lock into S88/S95 as a common
     
    knowledge persuasionP6Given our fact we lock into S88/S95 as a common
     
    ontology and taxonomy makes us a leg up on this initiative and backs the
     
    ontology and taxonomy makes us a leg up on this initiative and backs the
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    strategy of a common language.p7
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    strategy of a common language.p7Ontological semantics is a theory of meaning
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    in natural language and an approach to natural language processing (NLP) that
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    uses a constructed world model, or ontology as the central resource for
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    extracting and representing the meaning of natural language texts and
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    reasoning about knowledge derived from textsp6
     
     
     
     
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Monday, March 6

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    semnatics directly supports information extraction question answering, advice
     
    semnatics directly supports information extraction question answering, advice
     
    giving and collaboriative framework for homosapien collaboration around
     
    giving and collaboriative framework for homosapien collaboration around
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    larger problems.P6
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    larger problems.P6Goal directed communication actions are required to drive
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    knowledge persuasionP6Given our fact we lock into S88/S95 as a common
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    ontology and taxonomy makes us a leg up on this initiative and backs the
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    strategy of a common language.p7
     
     
     
     
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Sunday, March 5

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    -------- ONTOLOGICAL SEMANTICS -----------------------------------------------
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    Chapter 1: Introduction to Ontological Semantics
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    Ontological semantics is a theory of menaing in natural language and an
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    approach to natural language processing (NLP) that uses a sonstructed world
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    model, or ontology, as the central resource for extracing and repreaetning
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    the meaning of ontology as the central source of extracting and representing
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    the meaning of natural language texts and for reasoning about knoweldge
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    derived from texts.P 6 - Definition of Ontological SemnaticsOntological
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    semnatics directly supports information extraction question answering, advice
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    giving and collaboriative framework for homosapien collaboration around
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    larger problems.P6
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  • 4:33pm

    Hello folks - a friend passed along a great book to read from some outstanding and long term ontological workers in the field - Sergei Nirenburg and Victor Raskin.  Key item of interest for us is the systematic approach to knoweldge managment via ontological semantics.  As such - this post will help unveil what that means and opinions on how that impacts us as scientists and engineers.  

    MadSciGuys Hypothesis - Scientists and Engineers are driving towards more structured and formal representation of knoweldge versus a fully natural language platform.  

Tuesday, September 6 2016

Sunday, August 14 2016

Thursday, July 7 2016

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    [[{"fid":"185","view_mode":"default","fields":{"format":"default","field_file_image_alt_text[und][0][value]":false,"field_file_image_title_text[und][0][value]":false},"type":"media","link_text":null,"attributes":{"class":"panopoly-image-original media-element file-default"}}]]
     
     
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    -------- SAF-BIGPICTURE-V0-8.PNG ---------------------------------------------
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Sunday, July 3 2016

Monday, May 30 2016

Wednesday, May 11 2016