HumanMLinCollaborati ons

HumanML in New Kinds of Collaborations: 

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

A New Kind of Collaboration: 

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

HumanML Terminology: 

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 HPCDML: The abbreviation for the Human Physical Characteristics Description Markup Language ML: The abbreviation for Markup Language

Incubating: 

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

Incubating : 

Incubating Framework Conditions XML, RDF HumanML

Human Capital = Value of Human Knowledge: 

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

Factors at Work in Human Capital: 

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

HumanML Goals for Collaborations: 

HumanML Goals for Collaborations Increase Value of Human Science Capital 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

Building Specific HumanMLs: 

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

HumanML Structure: 

HumanML Structure

OASIS HumanMarkup TC Subcommittees (SCs): 

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.

Human Physical Characteristics Description ML: 

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

HPCDML Designed for 3D: 

HPCDML Designed for 3D Physical Accuracy AnatML, FMA, Medical Informatics H-Anim, VRML/X3D Kinesic Behavioral “Vocabulary” for Bodily Gestures Motion Capture Non-Verbal Elements of Communication

Kinesic Motion Capture Sample: 

Kinesic Motion Capture Sample

Showing Emotions in HPCDML: 

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

Emotional Expressions Sample: 

Emotional Expressions Sample

Archaeology Technologies Labhttp://atl.ndsu.edu: 

Archaeology Technologies Lab http://atl.ndsu.edu Emphasizes Digital Technologies Visualization Laser Scanning and Digital Imaging 2D Images, 3D Models, Animations Digital Libraries, Archives, Databases Content Storage/Access Distributed Network Systems Internet 2 (I2) Broadband Stand Alone and Web-Based Applications Immersive Virtual Environments (IVE) Virtual Museum Exhibits (VME) User Interfaces and Clients

New Portal: http://www.dana-wh.net: 

New Portal: http://www.dana-wh.net New Portal: http://www.dana-wh.net

Purpose of DANA-WH: 

Purpose of DANA-WH DANA-WH is a Digital Library collection intended to be a globally accessible, distributed, cross-platform information storage, retrieval , and analysis system containing textual, metrical, and graphical (2D images and 3D models) content utilized in human cultural and biological heritage research and education.

Achieving DANA-WH Goals Requires Widespread Collaboration: 

Achieving DANA-WH Goals Requires Widespread Collaboration All Domains and Fields of Human Heritage Archaeology, Archaeometry, Geoarchaeology, Geophysical Prospecting, etc. Classical Studies and Historical Archaeology Biological and Medical Anthropology Paleoanthropology, Paleoethnobotany, etc. Behavioral and Cognitive Anthropology Ethnography, Ethnology, and Museum Studies Linguistics (including writing systems) and all the rest… (Computer and Information Sciences, Geosciences, and other related fields…)

DANA-WH contains lots of Data: 

DANA-WH contains lots of Data

Slide22: 

DANA-WH: Simultaneous Views of Multimedia and Related Data

Slide23: 

DANA-WH Client Content Display (Fijian Ceramics)

Slide24: 

DANA-WH: 3D Wireframe (and Point Cloud) Polygon Views

Slide25: 

DANA-WH: 3D Model with Color Texture Map

3D Caliper Tool: 

3D Caliper Tool

Hominid Endocasts: 

Hominid Endocasts

3D Models of Hominid Fossils: 

3D Models of Hominid Fossils Australopithecus africanus, Cranium STS 5, “Mrs Ples”

3D Reconstructions and Animations of Hominid Remains: 

3D Reconstructions and Animations of Hominid Remains http://atl.ndsu.edu/thumb2.htm

Cuneiform Writing Systems: 

Cuneiform Writing Systems

Native Dancer Diabetes Health Care Education Video Game: 

Native Dancer Diabetes Health Care Education Video Game

Diabetes and Native Americans: 

Diabetes and Native Americans Diabetes Epidemic: approximately 33% of Native Americans have some form of diabetes 22% of White Earth people have Type 2 Diabetes (so-called adult onset) Typical onset, 10 years ago: 42 years old Today, youngest case: 9 years old. Increased 32% in ages 15-19

Nutrition and Physical Activity: 

Nutrition and Physical Activity “Reduction in incidence of type 2 diabetes with lifestyle intervention or metformin” (New England Journal of Medicine, 2002) Percent reduced incidence of diabetes 17% placebo 31% metformin 58% nutrition/physical activity

Video Games:: 

Video Games: Reach the target audience: 10-18+ “proclivities of youth” Provide virtual/safe environment to experiment & learn New, emerging genre of healthy video games Dance Dance Revolution

Friendly Competition Drives Learning: 

Friendly Competition Drives Learning Students strive to learn diet and lifestyle to do better in dance competition Assumes dance aspect of the game is fun & engaging Proper choices are rewarded with Powwow Regalia that allow dance character to gain more points in each competition

Benefits: 

Benefits Immediate: provides a non-threatening, and easy exercise interactively engages child in health education process Cultural: encourages pride in child’s culture teaches cultural dance skills to children Provides: a culturally relevant map to long-term healthy lifestyle and diabetes management

Native Dancer Motion Capture of “Jingle Dance”: 

Native Dancer Motion Capture of “Jingle Dance”

Virtual Museum Exhibits (VMEs): 

Virtual Museum Exhibits (VMEs) Enhance Exhibit Space and Maximize Collection Display Copyright ©2003 NDSU Archaeology Technologies Laboratory Samoan Adze #c8940 from Bishop Museum Collection, Honolulu, Hawaii Samoan Virtual Pavilion

Cognition in Environments: 

Cognition in Environments Application Area Cognitive Information Processing Models Interpretation of Interaction Patterns Basic Concepts… Roles of Family, Kinship, Clans, Ethnic Ancestry, ‘Culture’ More to come

Cognition Requirements: 

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.

More Cognition Requirements: 

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

XML Schema for Semiosis, Semiote: 

XML Schema for Semiosis, Semiote <xs:complexType name="Semiosis" abstract="true"> <xs:annotation> <xs:documentation xml:lang="en"> Semiotic Communication Mode Semiosis 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 Agent A 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>

Peacemaking and the Three Names: 

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

Cultural Descriptions: 

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

From Constable’s Toward a Model for Language Identification: Defining an Ontology of Language-related categories : 

From Constable’s Toward a Model for Language Identification: Defining an Ontology of Language-related categories

Diagram of Language Agencies such as HumanMarkup TCBased on Constable’s Proposed Language-related Categories: 

Diagram of Language Agencies such as HumanMarkup TC Based on Constable’s Proposed Language-related Categories

A HumanML-enhanced Transliteration Examplefrom a Proposed Application Concept: 

A HumanML-enhanced Transliteration Example from a Proposed Application Concept

CRM for HumanML Users: 

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

HumanML Enhancements for CRM : 

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

HumanML Goals “Glue” for Collaborations: 

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

CRM and ROI in Child Protective Services Slide 1: 

CRM and ROI in Child Protective Services Slide 1

CRM and ROI in Child Protective Services Slide 2: 

CRM and ROI in Child Protective Services Slide 2

CRM and ROI in Child Protective Services Slide 3: 

CRM and ROI in Child Protective Services Slide 3

CRM and ROI in Child Protective Services Slide 4: 

CRM and ROI in Child Protective Services Slide 4

Collaboration Expedition Workshops Provide Incubator: 

Collaboration Expedition Workshops Provide Incubator Digital Dividends Brochure Practice-Centered Research and Design Report Two Years Work Now Showing Results

HumanML Mission Complements Collaboration Process : 

HumanML Mission Complements Collaboration Process XML & RDF Provide Interoperability GPRA of 1993 Taking Hold HumanML Aids Sematic Web Semiotic Communications Processing Inference Engine Modeling

Public Healthcare Portal Collaboration: 

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

Portal Demonstration Script: 

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

Proof of Concept Public Healthcare Preparedness Portal: 

Proof of Concept Public Healthcare Preparedness Portal

Conclusion : 

Conclusion Summary Incubate New Kinds of Collaborations Provide Added “Measurable” Value to Human Capital Stress Accuracy Harmonize Physical Description Standards Build Toolset for Cognition Build Toolset for Mediation Collect Cultural Descriptions Demonstrate Benefits through Collaborative Projects Enabled by HumanML Standards