humanml in new kinds of collaborations
DESCRIPTION
HumanML in New Kinds of Collaborations. Collaborators-participants from: New York Academy of Medicine (NYAM) OASIS HumanMarkup Technical Committee (TC) OASIS Web Services for Remote Portlets (WSRP) TC OASIS Emergency Management (EM) TC Oracle Corporation - PowerPoint PPT PresentationTRANSCRIPT
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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HumanML in New Kinds of Collaborations
Collaborators-participants from: New York Academy of Medicine (NYAM) OASIS HumanMarkup Technical
Committee (TC) OASIS Web Services for Remote
Portlets (WSRP) TC OASIS Emergency Management (EM) TC Oracle Corporation Disaster Management Interoperability
Services
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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A New Kind of Collaboration
Public Healthcare Preparedness Portal Proof of Concept = Example Web Services Portal = Pre-Arranged, Multiple
Sources of Information in Single Display Format
Common Alerting Protocol (CAP) for Emergency Management Community Starts Process
Time Critical Follow-On Map & Medical Information for First Responders
Further Developments
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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HumanML Terminology
HumanML: General abbreviation for entire set of Human Markup Language specifications
Huml: The name of the ‘root’ XML Schema Element of the Human Markup Language Primary Base XML Schema Specification (and, therefore of the entire set of languages)
huml: The namespace prefix which identifies the HumanML namespace; also the abbreviation used for the OASIS HumanMarkup Technical Committee
ML: The abbreviation for Markup Language
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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Incubating
Public Information Environments (Framework)
New Kinds of Collaborations (Conditions)
Emerging Technologies (ET) (Vehicles) Open Standards - ISO, W3C, IETF, OASIS XML/RDF = Vocabulary + Resources HumanML provides “Connection”
Connecting Emerging Technologies Vehicles Ongoing Environment for Exploration
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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Incubating
Framework
Conditions
XML, RDF
HumanML
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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Human Capital = Value of Human Knowledge
Most Capital inside Individual Human Minds Useful to Individual but Limited Lifecycle Less Useful to Groups, e.g. Business,
Government
“Soft” Human Science Capital Less than “Hard” Physical Science Capital Lacks Empirical Foundation Poorly Quantified Social Needs Difficult to
Address “ROI” Difficult to Measure
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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Factors at Work in Human Capital
90% of Sum Total of “Hard” Human “Knowledge” Discovered in the Last Two Decades of the 20th Century
Worldwide Social Needs Growing with Economic & Digital Gaps between Affluent & Developing Worlds
Internet “Information Revolution” Set to Spread in Developing World at Stunning Rate in this Decade
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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HumanML Goals for Collaborations
Increase “Soft” Human Science Capital (Adding Value) Build Application-Area-Specific Vocabularies Use XML, RDF to Quantify Anecdotal Information
Occurences of “Tags” can be tabulated Frequency and Amount and/or Volume of “Tags”
within Population of Standard Documents over Timeframe can be Correlated and Compared to other Data to produce Empirical Analyses
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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Building Specific HumanMLs
Primary Base Schema = Collection of Categories
Secondary Base Schema Built from Application Area- Specific Secondary Schemata
Structural Methodology = Paradigm Subcommittees Formed by Application Area
Physical Characteristics Descriptions Cognition Mediation Social & Cultural Descriptions
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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HumanML Structure
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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OASIS HumanMarkup TC Subcommittees (SCs)
Current: Human Physical Characteristics
Description ML (HPCDML SC) Planned:
Cognition in Environments (CogEnv SC) Mediation SC Cultural Descriptions
Needs Great Care and Attention to Craft Usability
Needs to include many considerations: History, Ethnography, Geography, Religion, etc.
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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Human Physical Characteristics Description
ML HPCDML Requirements “inclusive”
Designed to Provide Standardized Description of Physical Characteristics of Humans, (Including Ancestral Remains) with Specific Responsibility to Harmonize and Interoperate with Widely Accepted Public Health, Medical, Biometric,Human-Modeling, and Public Safety Standards
Actiively Working With Digital Archive Network for Anthropology and World Heritage (DANA-WH) of the Archeology Technologies Laboratory (ATL) of North Dakota State University
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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HPCDML Designed for 3D
Physical Accuracy AnatML, FMA, Medical Informatics H-Anim, VRML/X3D
Kinesic Behavioral “Vocabulary” for Bodily Gestures Motion Capture “Native Dancer”
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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Kinesic Motion Capture Sample
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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Showing Emotions in HPCDML
Emotional Behavioral “Vocabulary” for Bodily Gestures Modeling Facial Musculoskeletal
System for Behavior On Demand Maintain Goal of Physical Accuracy Basic Emotions from Primary Base
Schema Enable Combinations Using Range of Intensity
Real-Time Interaction Objective
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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Emotional Expressions Sample
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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Cognition in Environments
Application Area Basic Concepts… More to come
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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Cognition Requirements
Cognitive Information Processing DARPA Criteria:
can reason in a variety of ways, using substantial amounts of appropriately represented knowledge;
can learn from its experiences so that its performance improves as it accumulates knowledge and experience;
can explain itself and can accept direction; can be aware of its own behavior and
reflect on its own capabilities; and can respond in a robust manner to
surprises.
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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More Cognition Requirements
Cognitive Information Processing Models Processes of Perception Models Processes of Communication Models Processes of Decision-Making
Model for Perception Undecided Semiosis Communication Model
Sign, Signal, Symbol Semiote = Cognitive Agent
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XML Schema for Semiosis, Semiote<xs:complexType name="Semiosis" abstract="true">
<xs:annotation><xs:documentation xml:lang="en">
Semiotic Communication ModeSemiosis is a meaningful exchange of signs, signals and symbols among cognitive
agents. NOTE: This process is the model of the human communication process upon
which HumanML is based. It can be, and we expect that it will be further enumerated by semiotic types and extended in the Secondary Base Schema and subsequent huml schemata.
</xs:documentation><xs:appinfo>NONE</xs:appinfo>
</xs:annotation><xs:attributeGroup ref="humlTemporalAtts"/><xs:attributeGroup ref="humlCommAtts"/>
</xs:complexType><xs:complexType name="Semiote" abstract="true">
<xs:annotation><xs:documentation xml:lang="en">
Cognitive AgentA Semiote is a cognitive agent who participates in meaningful signal exchange
among cognitive agents. NOTE: This element is the actor in the semiotic model of communication It is a set
of processors capable of emitting, receiving and responding to signals. </xs:documentation><xs:appinfo>NONE</xs:appinfo>
</xs:annotation><xs:attributeGroup ref="humlCommAtts"/>
</xs:complexType>
9 December 2003 HumanML in New Kinds of Collaborations
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Peacemaking and the Three Names
Diplomacy Too Specialized Conflict Resolution Too Negative Bridging Perspectives Too
Undefined Mediation Just Right
Process Shows Need Requirements and Charter-writing
Underway
9 December 2003 HumanML in New Kinds of Collaborations
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Cultural Descriptions
Requirements Under Consideration Native Ethnic/Linguistic Authors
Whenever Possible and Reasonable Anthropologist Consultation or
Training Favored Authenticity & Accuracy Tracking to
Compare Behavior of Self-Identified Cultural Members with Description
Previous HumanML Experience Provides Guidance
Rigorous Documentation & Approval Continuous Update Capacity Sought
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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CRM for HumanML Users
HumanML Preferences ML Probable for: Individual Single-Sign-On Applications Individual User Profile for in-depth ID
Authentication and Personalization Using Satisfaction Index in tracking Delivery
of Highly Targeted Materials from Specific Individual Preferences to:
Eliminate Spam Produce “Focused” Marketing for Business, and End User Service and Satisfaction from Receiving
ONLY Desirable, Preferred, Requested Information
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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HumanML Enhancements for CRM
Combinations of HumanMLs Enhance Traditional CRM Capabilities
HumanML in CRM-Based Results Analysis Aids Performance Improvements
CRM-Based Results Analysis Aids Improvement of HumanML
9 December 2003 HumanML in New Kinds of Collaborations
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HumanML Goals “Glue” for Collaborations
Improve Communications through Clarity and Accuracy
Provide Means to Model Cognition and Perception
Provide Means to Measure and Evaluate Results
Provide Models for Collaborations by Example
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CRM and ROI in Child Protective Services Slide 1
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Collaboration Expedition Workshop #30
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CRM and ROI in Child Protective Services Slide 2
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Collaboration Expedition Workshop #30
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CRM and ROI in Child Protective Services Slide 3
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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CRM and ROI in Child Protective Services Slide 4
9 December 2003 HumanML in New Kinds of Collaborations
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Collaboration Expedition Workshops Provide Incubator
Digital Dividends Brochure Practice-Centered Research and
Design Report Two Years Work Now Showing
Results
9 December 2003 HumanML in New Kinds of Collaborations
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HumanML Mission Complements
Collaboration Process XML & RDF Provide Interoperability GPRA of 1993 Taking Hold HumanML Aids Sematic Web
Semiotic Communications Processing Inference Engine Modeling
9 December 2003 HumanML in New Kinds of Collaborations
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Public Healthcare Portal Collaboration
New York Academy of Medicine Proof of Concept Public Healthcare Preparedness Portal
CAP Alert - OASIS Emergency Management TC Disaster Management Interoperability
Services WSRP 1.0 Web Services for Remote Portlets
TC OASIS HumanMarkup TC Oracle Corporation
9 December 2003 HumanML in New Kinds of Collaborations
Collaboration Expedition Workshop #30
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Portal Demonstration Script
DMIS Issues CAP Message CAP Message Displayed on Portal EMT Accesses Portal, Selects CAP
Message EMT Accesses Map Portlet
Sequence EMT Accesses Medical Treatments
Information Portlet
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