https://drive.google.com/file/d/1-vUhhLsjTNU6qgViobVxys5v45srW-GL/view?usp=share_link

*Abstract*
Enterprise support ecosystems contain massive volumes of troubleshooting content, spanning
thousands of articles, dozens of product families, and unstandardized error codes. Customers often
arrive wi...

https://drive.google.com/file/d/1WTOONdaVL3v9J55_MDYh1l971P2jgAwg/view?usp=share_link

Knowledge graph teams routinely demonstrate strong bottom-up success: rich semantic models, reasoning, and compelling use cases. Yet many of these “hero graphs” stall when organizations attempt to scale them en...

Penetration testing sessions yield rich screen recordings of expert pentesters using Kali tools, running scans, exploiting vulnerabilities, and pivoting intelligently. These videos encapsulate master-level expertise—intuitive decisions, creative chains, and risk assessments—yet this knowledge rem...

https://drive.google.com/file/d/1tS9o4_p5DqMcEjc0XwTdlXHumojeEvWk/view?usp=share_link

As an ontologist, I must shamefully admit using data structures that are NOT graphs. I stored phone contacts, weight lifting information, task lists, etc., in things like spreadsheets and bulleted word document...

https://drive.google.com/file/d/1QyL21ATgJB83oA038dsJtB1ZaTmUZlKQ/view?usp=share_link
LLMs can simulate clinical reasoning, but they can't capture the nuanced, individualized judgment that defines effective autism intervention. This talk presents a neural-symbolic approach: an ontology and knowle...

https://drive.google.com/file/d/1gpPJPutlfJqb2xUH-P2-WqtB1BUImwhc/view?usp=share_link
The AI gold rush is on. Every boardroom is placing bets on agentic AI—autonomous systems that perceive, reason, and act without human hand-holding. The market is bullish. The slide decks are stunning. And almost...

https://drive.google.com/file/d/1DK_nkUh3D7TTJqGPYBaryDth2oSDhU6Q/view?usp=share_link

AI systems need more than intelligence; they need context that persists. Without it, even strong models can misinterpret information, lose decision rationale, or repeat the same mistakes. Context Graphs have em...

Most enterprise intelligence is rented. Strategy consultants arrive, analyze a snapshot of your data, deliver a deck, and leave. The insights age immediately. The institutional knowledge walks out the door. And the next strategic question — a new market opportunity, a shift in competitive dynamic...

https://drive.google.com/file/d/1j-vI_R2fV3S0_L8dia8_fWjOCHNIDcom/view?usp=share_link

Co-presenting with Ora Lassila of the Amazon Neptune:

Enterprise organizations possess vast technical documentation repositories containing invaluable institutional knowledge trapped in unstructured formats. W...

https://drive.google.com/file/d/1FtpjVYzcv7_edmKO3gH78V6CBol2DwB_/view?usp=share_link

It has been a good year for the graph. Ontologies got trendy. Amid the unprecedented velocity of AI-driven change, one need is constant - to capture the meaning and unlock the value of enterprise information an...

"https://drive.google.com/file/d/1f0drnGNon5MiiOVrCvvgkzxLhwCfdETr/view?usp=share_link

The last generation of enterprise software — Salesforce, Workday, SAP — became trillion-dollar platforms by owning what happened. The next trillion-dollar opportunity? Owning why it happened.

Enterprise AI ag...

https://drive.google.com/file/d/1tH57rvRUGo-pWjm09u5AtXnARkPLrWxw/view?usp=share_link

Abstract

The gap between domain experts who need knowledge graph insights and the technical Cypher expertise required to query them represents one of the most significant adoption barriers in enterprise graph ...

https://drive.google.com/file/d/1GqheySdjCqY7N0bYpxm1bz495V1KYG1_/view?usp=share_link

Event-driven systems generate rich signals, but without context they remain fragmented and hard to reason over. Knowledge graphs offer a powerful way to connect these signals — yet building and operating them i...

"https://drive.google.com/file/d/1A4hiMKMIX6x1lrAintov1-Kf5ion4xcb/view?usp=share_link

Knowledge Graphs Are Not Enough. In this session, we’ll challenge the conventional wisdom around knowledge graphs. While they’ve been positioned as the cornerstone of enterprise semantics, they are not the end...

"https://drive.google.com/file/d/1x8vYa4d8CmunWXKRcCX1Exm6SczzRUe9/view?usp=share_link

Ontologies form the semantic framework for knowledge graphs, but to serve the purpose of connecting to content and standardizing metadata, ontologies need to be based on taxonomies and other controlled vocabul...

"This hands on workshop will provide an introduction to knowledge graph creation from unstructured (e.g. text documents) and structured data (e.g. CSV tables), retrieval augmented generation with knowledge graphs: aka GraphRAG.

- Into to GraphRAG concepts
- Build a knowledge graph from unstructu...

maplib aims to be the go-to framework for handling and constructing RDF graphs in Python. It offers mapping with Reasonable Ontology Templates (OTTR), data frames, visual graph exploration, RDF store for queries, reasoning, validation, and even more! In other words, full support of semantic techn...

https://drive.google.com/file/d/1KJ1jts5EE0GAwJVIcI44SX1hF4SRBEG5/view?usp=share_link

https://drive.google.com/file/d/1sbw8uXzA-hR1hvBPzVAeUD-SK7gpAgwi/view?usp=share_link

For decades, the Life Sciences industry has operated under a "Data Delusion": the belief that if we simply aggregate enough "clean" data and apply it at scale, biology will become computable. Yet, despite massi...

https://www.dropbox.com/scl/fo/p5oi87h9800o35bhyua80/AHipulxYW0IQJrinOTB-Qy0?rlkey=x5fvfx8gsusubrqkx55h0obkp&e=5&st=nxa2ste2&dl=0

We intend to give the presentation on site. This is a shared proposal together with my colleague Dr. Fabian Muttach from Regulatory Affairs. ( https://www.linkedin.co...

The expertise your teams carry — domain rules, entity relationships, business logic — is exactly what AI agents need to make reliable decisions. A knowledge graph makes that expertise queryable: not document search, but a structured, traceable model that agents reason over directly. In this hands...

https://drive.google.com/file/d/1db06jIurJyQDtDwgCOfCLAuy3E_eB3gV/view?usp=share_link

The life sciences community is adopting emerging modeling approaches—LinkML, SHACL-centric design, and updated standards like RDF 1.2—while simultaneously pushing toward ambitious paradigms such as digital twin...

https://drive.google.com/file/d/1SZsz2tn8ku7wJCl_XgjSze3jANf-S1Kk/view?usp=share_link

A large portion of enterprise knowledge exists in unstructured documents such as reports, filings, contracts, and research papers. Transforming these documents into knowledge graphs is challenging because unstr...

We report on an initiative that operationalizes FAIR data principles to transform Chemistry Manufacturing and Controls (CMC) data into reusable, interoperable data products. The program delivers an ontology‑driven semantic layer and automated pipelines that decouple data sources from consumers, e...