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ASML Taxonomy Adventure
Taxonomy Boot Camp 2023
Daniel Canter
KM Program Manager, Learning & KM, ASML
6th November, 2023
Public
Agenda
• About ASML
• The Story
• Project Approach
• Challenges, Successes, and Lessons Learned
• Painting the Future
Page 2
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About ASML
Page 3
6th November, 2023
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Chips are already the fabric of our modern world
Page 4
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ASML makes the machines for making those chips
Page 5
• Lithography is the critical tool for producing
chips
• All major chipmakers use ASML’s
technology
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ASML at a glance
Page 6
Q2 2023 results
60%
growth in
2 yrs
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About ASML
7
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The Story
Page 8
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What Next??
Page 11
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10AREAS OF EXPERTISE
KM STRATEGY & DESIGN TAXONOMY & ONTOLOGY DESIGN
TECHNOLOGY SOLUTIONS AGILE, DESIGN THINKING, & FACILITATION
CONTENT & BRAND STRATEGY KNOWLEDGE GRAPHS, DATA MODELING, & AI
ENTERPRISE SEARCH INTEGRATED CHANGE MANAGEMENT
ENTERPRISE LEARNING CONTENT MANAGEMENT
HEADQUARTERED IN WASHINGTON, DC, USA
ESTABLISHED 2013 – OUR FOUNDERS AND PRINCIPALS HAVE BEEN PROVIDING KNOWLEDGE
MANAGEMENT CONSULTING TO GLOBAL CLIENTS FOR OVER 20 YEARS.
PRESENCE IN BRUSSELS, BELGIUM
EK At A Glance
STABLE CLIENT BASE
Public
ASML’s Taxonomy Journey
2022Q1
KM strategy defined
Taxonomy key need
2022Q2
RFP sent out
EK Hired
2022Q3
Project kickoff
Jan 2023
1st Version validated
Governance model
Mar-Jun 2023
Implementation planning
TOMS RFP
Jun-Nov 2023
Taxonomy enrichment
IT Purchasing
Nov 2023 on
Lets implement!
13
Public
Enable faster access to Learning and Knowledge content by using faceted search (e.g. by
topic, purpose, location, etc.).
Add a layer of findability and discoverability for employees to find organizational content
faster and more easily across content repositories, including the Intranet.
Implement a user-centric and scalable taxonomy to help organize, find, and discover content
and supports organization’s end-to-end KM approach.
Tag Learning and Knowledge content using terms from a customized taxonomy that
represents the content needs of groups to increase the accuracy of search.
Provide a customized experience for end users of the Intranet by targeting content to specific
audiences, ensuring that the right people have access to the right content when they need it.
Implement a governance model that helps maintain and evolve the taxonomy and aligns with
organization’s organizational culture and rapid growth.
ASML’s Taxonomy Needs
Public
Priority Personas and Use Cases for ASML
Engineer New Hire Office
Worker
Auto-tagging
Standardization of Vocabulary
Skill/Competency Tagging
& Learning Paths
Technical Content Findability,
document & content types
Personalized
Support a New Hire to find
relevant content.
Streamline User's experience
Develop an Employee’s skills
& performance
Improve search & discovery
of content, provide basis for
knowledg capture
Public
Priority Personas and Use Cases for ASML
Engineer New Hire Office
Worker
Auto-tagging
Standardization of Vocabulary
Skill/Competency Tagging
& Learning Paths
Technical Content Findability,
document & content types
Personalized
Support a New Hire to find
relevant content.
Streamline User's experience
Develop an Employee’s skills
& performance
Improve search & discovery
of content, provide basis for
knowledg capture
Public
ENTERPRISE KNOWLEDGE
ASML Priorities for TOMS Implementation
People to content
Content to people
People to people
FINDABILITY,
DICOVERABILITY
PUSH CONTENT
CONNECT PEOPLE
Relevant
Public
Project Approach
Page 18
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Collaboration
The ability for stakeholders and users to work together in
terms of content creation and content management.
Includes the ability to co-author, co-edit, and work on a
document alongside other users at the same time.
Governance
The roles, responsibilities, processes, and
procedures necessary to ensure that an
organization’s content, taxonomy, information
architecture, and search continue to meet and
reflect evolving needs of the business and
users over the long term.
Taxonomy & Information
Architecture
Taxonomies are controlled vocabularies used to
describe or characterize explicit concepts of
information. Information architecture, alongside the
taxonomy, works to guide the standardization and
simplification of where and how content is stored and
tagged.
Change Management
Addresses modifying behavior,
impacting culture, and realizing ROI
while building internal capacity to
manage change. It places people at the
center of the process to make change
real and ensure it sticks.
Search
The best search experiences connect
people to information, information to
information, and people to people, and
address the foundational concepts in
search including action-oriented results,
faceting, semantic capabilities, analytics,
and governance.
Automation
The ability to reduce the
manual work associated with
tasks, processes, and
procedures through the creation
and application of technology.
Content & Document
Management
The strategies, methods, and tools
used to capture, manage, store, and
share content and documents in the
most optimal way possible.
Holistic Approach to Taxonomy
6th November, 2023 Page 19
Public
Taxonomy Design Activities
Cross-organizational groups of
stakeholders shared their vision
of the taxonomy for ASML and
provided candidate metadata
fields and taxonomy use cases.
Workshops
Focus groups per business area
helped identify metadata fields
that were unique to their own
business area vs. applicable to
the organization as a whole.
Focus Groups
Interviews with key project
stakeholders and senior leaders
provided ASML’s short-term and
long-term vision for ASML’s
Taxonomy.
Interviews
Demos of content management
systems and learning
management systems allowed
the project team to align on the
organization’s content and
taxonomy strengths and gaps.
System Demos
A manual reviewing of individual
pieces of content (e.g. documents or
website pages) helped identify
patterns of content and possible
taxonomy terms.
Content Analysis
A “quick reference” list of past or
existing documents was helpful to
identify details about ASML’s current
and previous content management,
taxonomy, and search efforts.
Background
Documentation Review
The use of a text mining entity
extraction tool (PoolParty) helped
uncover the complexity of information
and identify new terms to seek, find,
and relate Intranet content.
Corpus Analysis
6th November, 2023 Page 20
Public
Tree Test An online activity where
users were asked
questions in relation to
specific content items
while navigating through
one of the taxonomies.
This activity helped
validate the intuitiveness of
the taxonomy design.
Test
Tagging
In this activity, users were
asked to tag sample
content items with
selected areas from the
taxonomy design. This
activity provided insight
into the completeness and
intuitiveness of the
taxonomy design.
● Focus: Employee Support Topic Taxonomy
Three sets of validation activities were chosen to evaluate the completeness, usability, and
alignment of the starter taxonomy design over the course of a 5-week period
Validation
Discussion Facilitated meetings with
key stakeholders to view
the Enterprise Taxonomy
at a high-level encouraged
participants to discuss
potential areas for further
development or
refinement.
● Focus: Enterprise Taxonomy Overall
Taxonomy Validation Activities
Corpus
Analysis
The corpus analysis was
conducted with Intranet
content to seek candidate
terms and assess the
completeness of the Topic
taxonomy.
● Focus: Document Type and Employee
Support Topic Taxonomies
● Focus: Employee Support Topics Taxonomy
6th November, 2023 21
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TOMS
Taxonomists
Auto-tagging
Programmatically tagging content using taxonomy concepts and storing
concepts as metadata alongside content in source system.
Connector Cornerstone
Solution Architecture
Features:
Auto-tagging
Synonyms
Multi-Lingual Support
Connectivity (APIs)
Security
Public
The design included 13 taxonomies with 1,795 terms.
Validation activities included participation from 246 stakeholders from across the organization.
Taxonomy Design and Validation
Public
Learning
Content
Org Structure
Job Architecture
Product
Competences
Employee
This model unifies the 3 models developed with inputs from on site workshops and incorporates feedback from
validation sessions. There are 7 main areas of the starter ontology for ASML, shown below.
Legend
Ontology Design and Validation
Public
Challenges,
Successes, and
Lessons Learned
Page 25
6th November, 2023
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Challenge 1: Stakeholder Management
Lots of very engaged stakeholders, all with ideas, none with any time
ASML is a network organization 
We all have a voice that wants to be heard.
Everyone that touched something to do with this
project became an interested party and needed
to be managed.
26
Stakeholders
Engaged
Online Tree Test Validation
Activity Participants
84+ 246
1
ASML
project team
So, so, so many stakeholders…
• Different stakes
• Different levels of understanding
• Very limited time availability and lack of
meeting discipline
• Persistent need for rescheduling
Lessons Learned:
• Plan meetings weeks in advance
• Get whole teams involved, not just
representatives
• Have a well-organized stakeholder list
6th November, 2023
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Challenge 2: Input Volume
Limited scope of Learning & knowledge Management
36 systems + SharePoint + Teams + Intranet
27
30
Taxonomy Sources
1.3k
+
ASML Taxonomy Terms Analyzed
7
System Demos & Taxonomy
Walkthroughs
ASML asked itself:
• Where to start?
• What to focus on?
• How do we create something useful from
all this?
Lessons Learned:
• Limit scope to 1-2 systems that impact a wide
audience
6th November, 2023
Public
Challenge 3: How to choose the management system?
There was no internal understanding of such systems beyond data management & editorial
28
What is a Taxonomy Ontology Management System?
How does this help?
How does it work?
Why is it different from what we have?
What will it do for the organization?
Lessons Learned:
What do we know is needed:
1. Do the research on your repositories
2. Spend time working out the elements you need
3. Work VERY closely with IT Architecture teams
4. Connect closely with your data office
5. Get the CIO involved, make the connections
6th November, 2023
Public
Challenge 4: Lack of Understanding of Future Possibilities
The people that understand Taxonomy are very thinly spread, so lots of questions
29
How does this help?
What is Taxonomy for?
How do we use it?
How does it relate to search and findability?
Is it required for A.I. to work?
Lessons Learned:
• Involve the business early on to discuss “what
can we do with a Taxonomy once we have one?”,
“which advanced taxonomy use cases can we
support in the future?”
• Involve the technical team to identify technology
capabilities and limitations and align with the
business needs.
6th November, 2023
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Painting the Future
Page 30
6th November, 2023
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FOLKSONOMY CONTROLLED
LIST
TAXONOMY ONTOLOGY KNOWLEDGE
GRAPH
ARTIFICIAL
INTELLIGENCE
Free-text tags. List of predefined
terms. Improves
consistency.
Predefined terms &
synonyms.
Hierarchical
relationships.
Improves
consistency. Allows
for parent/child
content
relationships.
Predefined classes
& properties.
Expanded
relationships types.
Increased
expressiveness.
Semantics.
Inference.
Capture related
data. Integration of
structured and
unstructured
information. Linked
data store.
Architecture and
data models to
enable machine
learning and other AI
capabilities.
Drive efficient and
intelligent data and
information
management
solutions.
6th November, 2023 31
Public
Recommender Systems
Data Management &
Quality
Auto-tagging
Taxonomy & Ontology
Development
Standardization and
Dereferencing
Natural Language and
Semantic Search
Data Visualization and
Reporting Dashboard
Data Governance
@EKCONSULTING
Future Enterprise Applications and Use Cases
6th November, 2023 Page 32
Public
• FIV Taxonomy Design and
Validation
• Starter Ontology Design &
Validation
• Taxonomy Governance Model
Creation & Validation
• Solution Architecture & TOMS
Selection Recommendations
• TOMS Implementation and
Integration Roadmap
• Taxonomy Enrichment Guidance
• Analysis for Pilot Taxonomy
Implementation in the Intranet
• TOMS Implementation and
FIV Taxonomy upload
• TOMS Integration with
ASML’s priority systems,
(Intranet and SharePoint)
• TOMS Role-based Training
and System Specific Training
• Expand Taxonomy Design to
Additional Domains
• TOMS Integration with
additional ASML systems
• FIV Knowledge Graph
• Advanced taxonomy and
ontology applications for AI
solutions (chatbots and
content recommender
systems).
Completed
Design Phase
In Progress Future
Implementation Phase Scale Phase
Public
Thanks! Daniel Canter
KM Program Manager, ASML

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ASML's Taxonomy Adventure by Daniel Canter

  • 1. Public ASML Taxonomy Adventure Taxonomy Boot Camp 2023 Daniel Canter KM Program Manager, Learning & KM, ASML 6th November, 2023
  • 2. Public Agenda • About ASML • The Story • Project Approach • Challenges, Successes, and Lessons Learned • Painting the Future Page 2 6th November, 2023
  • 4. Public Chips are already the fabric of our modern world Page 4 6th November, 2023
  • 5. Public ASML makes the machines for making those chips Page 5 • Lithography is the critical tool for producing chips • All major chipmakers use ASML’s technology 6th November, 2023
  • 6. Public ASML at a glance Page 6 Q2 2023 results 60% growth in 2 yrs 6th November, 2023
  • 12. Public 10AREAS OF EXPERTISE KM STRATEGY & DESIGN TAXONOMY & ONTOLOGY DESIGN TECHNOLOGY SOLUTIONS AGILE, DESIGN THINKING, & FACILITATION CONTENT & BRAND STRATEGY KNOWLEDGE GRAPHS, DATA MODELING, & AI ENTERPRISE SEARCH INTEGRATED CHANGE MANAGEMENT ENTERPRISE LEARNING CONTENT MANAGEMENT HEADQUARTERED IN WASHINGTON, DC, USA ESTABLISHED 2013 – OUR FOUNDERS AND PRINCIPALS HAVE BEEN PROVIDING KNOWLEDGE MANAGEMENT CONSULTING TO GLOBAL CLIENTS FOR OVER 20 YEARS. PRESENCE IN BRUSSELS, BELGIUM EK At A Glance STABLE CLIENT BASE
  • 13. Public ASML’s Taxonomy Journey 2022Q1 KM strategy defined Taxonomy key need 2022Q2 RFP sent out EK Hired 2022Q3 Project kickoff Jan 2023 1st Version validated Governance model Mar-Jun 2023 Implementation planning TOMS RFP Jun-Nov 2023 Taxonomy enrichment IT Purchasing Nov 2023 on Lets implement! 13
  • 14. Public Enable faster access to Learning and Knowledge content by using faceted search (e.g. by topic, purpose, location, etc.). Add a layer of findability and discoverability for employees to find organizational content faster and more easily across content repositories, including the Intranet. Implement a user-centric and scalable taxonomy to help organize, find, and discover content and supports organization’s end-to-end KM approach. Tag Learning and Knowledge content using terms from a customized taxonomy that represents the content needs of groups to increase the accuracy of search. Provide a customized experience for end users of the Intranet by targeting content to specific audiences, ensuring that the right people have access to the right content when they need it. Implement a governance model that helps maintain and evolve the taxonomy and aligns with organization’s organizational culture and rapid growth. ASML’s Taxonomy Needs
  • 15. Public Priority Personas and Use Cases for ASML Engineer New Hire Office Worker Auto-tagging Standardization of Vocabulary Skill/Competency Tagging & Learning Paths Technical Content Findability, document & content types Personalized Support a New Hire to find relevant content. Streamline User's experience Develop an Employee’s skills & performance Improve search & discovery of content, provide basis for knowledg capture
  • 16. Public Priority Personas and Use Cases for ASML Engineer New Hire Office Worker Auto-tagging Standardization of Vocabulary Skill/Competency Tagging & Learning Paths Technical Content Findability, document & content types Personalized Support a New Hire to find relevant content. Streamline User's experience Develop an Employee’s skills & performance Improve search & discovery of content, provide basis for knowledg capture
  • 17. Public ENTERPRISE KNOWLEDGE ASML Priorities for TOMS Implementation People to content Content to people People to people FINDABILITY, DICOVERABILITY PUSH CONTENT CONNECT PEOPLE Relevant
  • 19. Public Collaboration The ability for stakeholders and users to work together in terms of content creation and content management. Includes the ability to co-author, co-edit, and work on a document alongside other users at the same time. Governance The roles, responsibilities, processes, and procedures necessary to ensure that an organization’s content, taxonomy, information architecture, and search continue to meet and reflect evolving needs of the business and users over the long term. Taxonomy & Information Architecture Taxonomies are controlled vocabularies used to describe or characterize explicit concepts of information. Information architecture, alongside the taxonomy, works to guide the standardization and simplification of where and how content is stored and tagged. Change Management Addresses modifying behavior, impacting culture, and realizing ROI while building internal capacity to manage change. It places people at the center of the process to make change real and ensure it sticks. Search The best search experiences connect people to information, information to information, and people to people, and address the foundational concepts in search including action-oriented results, faceting, semantic capabilities, analytics, and governance. Automation The ability to reduce the manual work associated with tasks, processes, and procedures through the creation and application of technology. Content & Document Management The strategies, methods, and tools used to capture, manage, store, and share content and documents in the most optimal way possible. Holistic Approach to Taxonomy 6th November, 2023 Page 19
  • 20. Public Taxonomy Design Activities Cross-organizational groups of stakeholders shared their vision of the taxonomy for ASML and provided candidate metadata fields and taxonomy use cases. Workshops Focus groups per business area helped identify metadata fields that were unique to their own business area vs. applicable to the organization as a whole. Focus Groups Interviews with key project stakeholders and senior leaders provided ASML’s short-term and long-term vision for ASML’s Taxonomy. Interviews Demos of content management systems and learning management systems allowed the project team to align on the organization’s content and taxonomy strengths and gaps. System Demos A manual reviewing of individual pieces of content (e.g. documents or website pages) helped identify patterns of content and possible taxonomy terms. Content Analysis A “quick reference” list of past or existing documents was helpful to identify details about ASML’s current and previous content management, taxonomy, and search efforts. Background Documentation Review The use of a text mining entity extraction tool (PoolParty) helped uncover the complexity of information and identify new terms to seek, find, and relate Intranet content. Corpus Analysis 6th November, 2023 Page 20
  • 21. Public Tree Test An online activity where users were asked questions in relation to specific content items while navigating through one of the taxonomies. This activity helped validate the intuitiveness of the taxonomy design. Test Tagging In this activity, users were asked to tag sample content items with selected areas from the taxonomy design. This activity provided insight into the completeness and intuitiveness of the taxonomy design. ● Focus: Employee Support Topic Taxonomy Three sets of validation activities were chosen to evaluate the completeness, usability, and alignment of the starter taxonomy design over the course of a 5-week period Validation Discussion Facilitated meetings with key stakeholders to view the Enterprise Taxonomy at a high-level encouraged participants to discuss potential areas for further development or refinement. ● Focus: Enterprise Taxonomy Overall Taxonomy Validation Activities Corpus Analysis The corpus analysis was conducted with Intranet content to seek candidate terms and assess the completeness of the Topic taxonomy. ● Focus: Document Type and Employee Support Topic Taxonomies ● Focus: Employee Support Topics Taxonomy 6th November, 2023 21
  • 22. Public TOMS Taxonomists Auto-tagging Programmatically tagging content using taxonomy concepts and storing concepts as metadata alongside content in source system. Connector Cornerstone Solution Architecture Features: Auto-tagging Synonyms Multi-Lingual Support Connectivity (APIs) Security
  • 23. Public The design included 13 taxonomies with 1,795 terms. Validation activities included participation from 246 stakeholders from across the organization. Taxonomy Design and Validation
  • 24. Public Learning Content Org Structure Job Architecture Product Competences Employee This model unifies the 3 models developed with inputs from on site workshops and incorporates feedback from validation sessions. There are 7 main areas of the starter ontology for ASML, shown below. Legend Ontology Design and Validation
  • 26. Public Challenge 1: Stakeholder Management Lots of very engaged stakeholders, all with ideas, none with any time ASML is a network organization  We all have a voice that wants to be heard. Everyone that touched something to do with this project became an interested party and needed to be managed. 26 Stakeholders Engaged Online Tree Test Validation Activity Participants 84+ 246 1 ASML project team So, so, so many stakeholders… • Different stakes • Different levels of understanding • Very limited time availability and lack of meeting discipline • Persistent need for rescheduling Lessons Learned: • Plan meetings weeks in advance • Get whole teams involved, not just representatives • Have a well-organized stakeholder list 6th November, 2023
  • 27. Public Challenge 2: Input Volume Limited scope of Learning & knowledge Management 36 systems + SharePoint + Teams + Intranet 27 30 Taxonomy Sources 1.3k + ASML Taxonomy Terms Analyzed 7 System Demos & Taxonomy Walkthroughs ASML asked itself: • Where to start? • What to focus on? • How do we create something useful from all this? Lessons Learned: • Limit scope to 1-2 systems that impact a wide audience 6th November, 2023
  • 28. Public Challenge 3: How to choose the management system? There was no internal understanding of such systems beyond data management & editorial 28 What is a Taxonomy Ontology Management System? How does this help? How does it work? Why is it different from what we have? What will it do for the organization? Lessons Learned: What do we know is needed: 1. Do the research on your repositories 2. Spend time working out the elements you need 3. Work VERY closely with IT Architecture teams 4. Connect closely with your data office 5. Get the CIO involved, make the connections 6th November, 2023
  • 29. Public Challenge 4: Lack of Understanding of Future Possibilities The people that understand Taxonomy are very thinly spread, so lots of questions 29 How does this help? What is Taxonomy for? How do we use it? How does it relate to search and findability? Is it required for A.I. to work? Lessons Learned: • Involve the business early on to discuss “what can we do with a Taxonomy once we have one?”, “which advanced taxonomy use cases can we support in the future?” • Involve the technical team to identify technology capabilities and limitations and align with the business needs. 6th November, 2023
  • 30. Public Painting the Future Page 30 6th November, 2023
  • 31. Public FOLKSONOMY CONTROLLED LIST TAXONOMY ONTOLOGY KNOWLEDGE GRAPH ARTIFICIAL INTELLIGENCE Free-text tags. List of predefined terms. Improves consistency. Predefined terms & synonyms. Hierarchical relationships. Improves consistency. Allows for parent/child content relationships. Predefined classes & properties. Expanded relationships types. Increased expressiveness. Semantics. Inference. Capture related data. Integration of structured and unstructured information. Linked data store. Architecture and data models to enable machine learning and other AI capabilities. Drive efficient and intelligent data and information management solutions. 6th November, 2023 31
  • 32. Public Recommender Systems Data Management & Quality Auto-tagging Taxonomy & Ontology Development Standardization and Dereferencing Natural Language and Semantic Search Data Visualization and Reporting Dashboard Data Governance @EKCONSULTING Future Enterprise Applications and Use Cases 6th November, 2023 Page 32
  • 33. Public • FIV Taxonomy Design and Validation • Starter Ontology Design & Validation • Taxonomy Governance Model Creation & Validation • Solution Architecture & TOMS Selection Recommendations • TOMS Implementation and Integration Roadmap • Taxonomy Enrichment Guidance • Analysis for Pilot Taxonomy Implementation in the Intranet • TOMS Implementation and FIV Taxonomy upload • TOMS Integration with ASML’s priority systems, (Intranet and SharePoint) • TOMS Role-based Training and System Specific Training • Expand Taxonomy Design to Additional Domains • TOMS Integration with additional ASML systems • FIV Knowledge Graph • Advanced taxonomy and ontology applications for AI solutions (chatbots and content recommender systems). Completed Design Phase In Progress Future Implementation Phase Scale Phase
  • 34. Public Thanks! Daniel Canter KM Program Manager, ASML