KMWorld
KMWorld, the leading knowledge management conference, takes place in Washington, DC this November 18 – 21 and Dovecot Studio will be there with four different presentations, including the halfday Taxonomy Boot Camp workshop. KMWorld features four co-located events—Taxonomy Boot Camp, Enterprise Search & Discovery, Text Analytics Forum, and Enterprise AI World.
Taxonomy Boot Camp
Taxonomies are all about creating structures that bring data and information to life. Taxonomy Boot Camp is the only conference dedicated to taxonomy building and management. Join us as we explore the successes, challenges, and methods of putting taxonomies to work for your organization.
Taxonomy Boot Camp is designed for Taxonomists and Ontologists, Information Architects, Content Managers, Knowledge Engineers, Intranet Professionals, Content Classification Specialists, Information Professionals, Information Scientists, and anyone responsible for classifying, organizing, or managing content.
Taxonomy 101 Workshop
Monday, November 18 2024
2:00 p.m. – 5:00 p.m.
Michele Ann Jenkins, Senior Consultant – Dovecot Studio, Canada
Katherine Black, Senior Consultant – Dovecot Studio
Lauren Clark Hill, Client Solutions Specialist – Synaptica
Whether you are brand new to the world of taxonomy or are looking to solidify your foundational knowledge, this workshop equips you with the key concepts to help you hit the ground running on your own taxonomy work. Starting with an accessible, practical examination of what taxonomies are, learn how they fit into the information and content management landscape and the most common use cases, including dynamic content, search and discovery, and reporting. Explore the three pillars of what makes a good taxonomy good: strategy and style (term selection and form, relationships, synonyms, and other properties), governance (roles and responsibilities, processes, and documentation), and technology (technical standards, taxonomy tools, metrics, and analytics needed to implement, integrate, and monitor a taxonomy across platforms). Hear about the more advanced approaches such as knowledge graphs, ontologies, and AI tools. Clark also gives a special deep dive on practical taxonomy change management, including policies, approval workflows, and various methods of versioning and tracking.
Future-Proofing Your Organization’s Taxonomy With a Governance Plan
Monday, November 18 2024
3:15 p.m. – 4:15 p.m.
Paula Little, Lead Senior Information Architect & Taxonomist – Factor Firm
Connor Cantrell, Information Architect – Factor
Kristen C. Ratanatharathorn, Assistant Director – Grant Systems and Data – The Andrew W. Mellon Foundation (AWMF)
Stephanie Duncan, Taxonomy Consultant – Dovecot Studio
Change is inevitable, but designing (and following) a governance framework is much easier said than done. Little & Cantrell explore some of the key pillars of a good governance plan, including business drivers for taxonomy changes, guidelines for balancing proactive and reactive workflows, and communication and training plans using case studies of recently implemented plans. Learn the critical role documentation plays in change management and the types of documentation needed for success. Ratanatharathorn and Duncan describe the governance and maintenance strategies for the Grant Classification Taxonomy, which has been in use since September 2021 at the AWMF. Hear their processes and best practices for understanding and documenting use cases, vetting them, and balancing the perspectives of different user groups in order to cultivate a taxonomy that suits the needs of many.
Aligning AI Approaches for Taxonomy & Tagging
Tuesday, November 19 2024
1:45 p.m. – 2:30 p.m.
Michele Ann Jenkins, Senior Consultant – Dovecot Studio, Canada
Erik Lee, Taxonomist – Factor
As the AI rush began, companies created directives to integrate AI into their products to avoid getting left behind. The result of this “AI for AI’s sake” mindset has been a slew of poor implementations and worse outcomes. However, it is possible to know if, when, and how to integrate AI intentionally into a project by aligning integration with your methodology. Lee explores the spectrum of available tools, ranging from manual effort to advanced techniques leveraging multiple AI techniques. Spoiler: It’s not just LLMs! Jenkins dives deeper into the key use case around using different approaches to validate and enhance metadata tagging workflows to reduce the burden on content creators and improve quality. Hear caveats, considerations, and risks involved in adding AI automations to tagging workflows. Learn the practical applications of AI in taxonomy and tagging illustrated with real-world examples that can be implemented today, as well as insights into what’s on the horizon for tomorrow.
Enterprise Search & Discovery
The Enterprise Search & Discovery conference is the only conference dedicated to exploring this critical business and technical challenge and opportunity. Discover how to design, build, and manage better search and discovery to help extract critical knowledge and business value from your organizational data. Join us as we explore how to provide transformative enterprise search and information discovery across your organization.
Enterprise Search & Discovery is designed for Search Managers, Line-of-Business Departmental Managers, IT Managers, Information & Knowledge Architects, Compliance and Legal Officers, and anyone responsible for organizing, managing, and retrieving internal and/or external information.
The Role Taxonomies Can Play in Enterprise Search
Thursday, November 21 2024
1:00 p.m. – 1:45 p.m.
Michele Ann Jenkins, Senior Consultant – Dovecot Studio, Canada
Marjorie Hlava, Chief Scientist – Access Innovations Data Harmony
Large organizations often turn to enterprise search to solve the challenges of siloed content management systems and fragmented search experiences, but the outcome depends on the quality and consistency of the associated metadata and taxonomy. Believing that a rising tide lifts all repositories, Dovecot’s Jenkins discusses how to align and enhance metadata and taxonomy ahead of enterprise search. Developing a semantic layer, including GenAI, auto-classification, mapping, and other business logic, can support a processing layer to harmonize and enhance metadata beyond the capabilities of the individual source repositories. Access Innovation’s Hlava provides a case study on search recommendations using taxonomy tags. The McGraw-Hill Access Engineering implementation of search depends on, instead of relevance and co-occurrence, the weighted taxonomy tags applied to the individual pieces of content, the information objects. She outlines the process of taxonomy tagging and the search parameters to achieve amazingly high accuracy and consistency.
We hope to see you there!