Von Darnell.
Von Darnell holds a Master of Library and Information Science and has led enterprise-scale projects at SAP BusinessObjects and Agfa Healthcare. As Founder and Chief Strategist of Huckleberry Way, she builds Knowledge Architecture: systematic frameworks that structure corporate expertise into verifiable digital assets optimized for AI answer engines and B2B decision-makers.
- @type
- Person
- name
- Von Darnell
- jobTitle
- Founder & Chief Strategist
- worksFor
- Huckleberry Way
- hasCredential
- MLIS (Master of Library & Information Science)
- alumniOf
- University of Western Ontario(MLIS Programme)
- knowsAbout
- Knowledge Architecture, Entity Modelling, Schema Markup, Knowledge Graphs, Enterprise Content Strategy, Case Study Production, Entity Authority Management
- address
- Waterloo, Ontario, Canada
Two threads, one architecture.
Von Darnell founded Huckleberry Way at the convergence of two career-long threads: information science and systems building, and the craft of proving expertise. The combination created a unique foundation for this pivotal moment in AI business discovery.
Her study focus was on databases, search engines and citation clustering, which predated and anticipated Google's PageRank. The principles she studied, authority control, subject classification, cataloguing, entity relationships, are the same principles that now determine how AI systems understand and recommend businesses.
A decade of leadership inside enterprise technology companies (Agfa Healthcare, SAP BusinessObjects) gave her first-hand experience building advanced information systems and enterprise business intelligence platforms at a global scale. Fifteen years leading Huckleberry Films built the content methodology that produced premiere proof-of-expertise assets for Microsoft, Toyota, and Con Agra.
Today, Von leads Huckleberry Way’s strategic practice. She works directly with clients to design the knowledge architecture that makes their expertise visible, verifiable, and citable by AI systems.
Each role declared a new relationship.
A career is a graph: a set of entities connected by relationships. Each role Von held added new connections. Each connection informs how Huckleberry Way works today.
MLIS Research
Study focus on information systems and search engines, studying how documents reference each other and how those patterns determine authority. Google hadn’t shipped PageRank yet, but the underlying principles were already the subject of information science research.
Von DarnellhasCredentialMLISMLIS ResearchstudiedTopicCitation ClusteringCitation ClusteringfoundationOfknowledge ArchitectureChoreoGraphics Web Development
Founded during her MLIS program, ChoreoGraphics specialized in database-driven web architecture during the internet’s nascent commercial phase. While most early websites were static text, Von integrated back-end databases with dynamic front-ends to build early e-commerce and real estate platforms. She was building the exact transport layer required to move structured data out of a database and into a searchable web interface.
Von DarnellfoundedChoreoGraphicsChoreoGraphicsprovidedServiceWeb DevelopmentCyberplex / Chapters Online
Von managed the full-cycle delivery of early enterprise web systems, where architecting highly complex, database-driven platforms required a strong focus on the underlying data layer. Whether applying complex taxonomy to build retrieval systems for the landmark Chapters Online e-commerce platform, or engineering a highly relational B2B2C content management system for global CPG brands, the goal was the same: organizing multi-layered enterprise data into structured entities so it could be dynamically queried, related, and surfaced
Von DarnellworkedAtCyberplexCyberplexbuiltPlatformChapters OnlineChapters OnlinedemonstratesExpertiseCatalogue ArchitectureAgfa Healthcare
Healthcare data at global scale is sensitive, heavily regulated, and infinitely complex. Managing Agfa’s flagship clinical imaging gateway required executing entity disambiguation where the stakes were absolute. Integrating diagnostic records across disparate hospital systems demanded flawless structured data architecture; ensuring interoperability and explicit relationships with zero margin for error.
Von DarnellworkedAtAgfa HealthcareRolemanagedProductIMPAX PACSIMPAX PACSdemonstratesExpertiseEnterprise Health DataSAP BusinessObjects
Before AI answer engines needed knowledge graphs, global enterprises needed business intelligence to make sense of their operations. Von led the worldwide delivery of SAP's flagship BI platform, driving foundational advancements in OLAP (Online Analytical Processing) multidimensional models. This was the semantic layer; the structural architecture that understands relationships, hierarchies, and how to formulate complex queries against data. It established the exact paradigm that makes modern AI possible: taking siloed, disparate information and architecting it into a unified model that systems can reason against.
Von DarnellworkedAtSAP BusinessObjectsRoleledProjectProject TitanProject Titanscale18+ Global Dev SitesHuckleberry Films
Von launched a full-scale production house producing award-winning proof-of-expertise content for enterprise leaders. A decade of producing case studies for Microsoft, Toyota, Maple Leaf. The methodology that became Proof Architecture: how to extract expertise, document it at the highest level, and structure it so it creates lasting authority.
Von DarnellfoundedHuckleberry FilmsHuckleberry FilmsservedClientMicrosoft, Toyota, Maple Leaf FoodsHuckleberry Way
The convergence. Information science + enterprise systems + structured proof assets, unified into a knowledge architecture practice. The firm where all the relationships in this graph connect.
Von DarnellfoundedHuckleberry WayHuckleberry WayoffersKnowledge Architecture
Domains of expertise.
The knowsAbout property declares what a Person entity has expertise in. These are the domains Von brings to every client engagement.
- Knowledge Architecture
Entity modelling, taxonomy design, semantic frameworks. How to structure a business so AI systems can navigate it.
- Schema Markup
Structured data implementation, Wikidata reconciliation, sameAs loop closure. The translation layer between websites and AI.
- Authority Control
Establishing canonical entities, disambiguating similar businesses, building verified presence across knowledge systems.
- Knowledge Graphs
Google’s Knowledge Graph, Wikidata, and how AI systems query structured knowledge to decide who to recommend.
- Enterprise Content Strategy
Proof-of-expertise production at scale. How to extract, document, and structure the evidence that creates authority.
- Case Study Production
$15K–$60K enterprise methodology. Stakeholder interviews, narrative design, schema engineering, publication as knowledge assets.
- Enterprise Systems
SAP BusinessObjects, Agfa Healthcare PACS, large-scale project coordination across global development teams. First-hand knowledge of how procurement systems evaluate suppliers.
- Information Science
Citation analysis, search engine behaviour, cataloguing theory, classification systems. The 100-year-old discipline that now powers AI discovery.
Documented outcomes.
In knowledge graph terms, proof is a declared relationship between an entity and a verified result. Here are some of those connections.
- Enterprise Content
Microsoft, Toyota, Maple Leaf Foods
Enterprise-grade case studies. This rigorous evidence-gathering methodology became Proof Architecture™: documenting enterprise authority at the highest level so AI systems can cite it.
- Enterprise Systems
SAP Project Titan
Led the global delivery of foundational OLAP multidimensional models. We built the semantic layer; architecting complex, siloed data into unified models that enterprise systems could actually reason against.
- Enterprise Systems
Agfa Healthcare IMPAX PACS
Managed the data architecture for Agfa’s flagship clinical imaging gateway. We executed rigorous entity disambiguation and interoperability, establishing exactly how structured data must flow when trust is absolute.
- E-Commerce
Cyberplex: Chapters
Foundational data layers for early enterprise web systems. We applied complex taxonomy to organize multi-layered digital inventory into structured entities for instant, dynamic retrieval.
- Research
MLIS research: Search Engines
Original research on citation patterns and search engine behaviour, studying how authority signals propagate through linked documents.
- Founding
Huckleberry Way
Founded the knowledge architecture firm where information science, enterprise systems, and elite content converge into a practice built for AI-era discovery.
Verify this entity.
In knowledge graph terms, sameAs links connect an entity to its verified presence across platforms. These links tell AI systems: this Person entity on this page is the same person found at each of these locations. The loop is closed.
Additional sameAs links are added as verified profiles are established. Each new link strengthens the entity’s verification loop.
