Knowledge systems & enterprise data
Ontologies, semantic graphs, metadata, reference data, master data, and governed information foundations.
Ideas & Intellectual Property
Ideas made useful. Innovation made defensible.
A representative view of patents, books, publications, and technical themes developed while building enterprise products and platforms.
100+Patents issued and pending
2,400+Citations across industry
5×IBM Master Inventor
6Selected books and publications
Innovation philosophy
Protect and share.
Protect enough to create room for differentiation. Share enough to advance the field.
Patents are one way to recognize and protect invention—but not the only one. Publications, open-source work, technical communities, and thoughtful abstraction all help ideas travel farther than a single product.
Technology domains
The portfolio spans multiple generations of enterprise technology, with recurring themes around trusted data, context-rich intelligence, and systems that improve through interaction and feedback.
AI & decision intelligence
Machine learning, recommendation, classification, prediction, reasoning, and contextual decision support.
Environmental intelligence
Weather, climate, geospatial context, agriculture, sustainability, and environmental risk.
Industrial operations & assets
Asset lifecycle, maintenance, operational workflows, IoT, reliability, and industrial decision support.
Security, risk & counter-fraud
Fraud detection, investigation, access control, risk models, and trusted enterprise workflows.
Platforms, automation & interaction
Enterprise architecture, cloud platforms, orchestration, user interaction, and extensible AI services.
Selected inventions
A small cross-section of the portfolio, chosen to show the evolution from semantic data foundations to machine-learning and enterprise architecture.
View the complete patent portfolio ↗
Machine learning · Semantics
Refinement and calibration for classifying information assets
Uses semantic refinement and feedback to improve enterprise-asset classification and create better training data for automated classifiers.
US8849828B2 ↗
Enterprise architecture · Optimization
Optimally configuring an information landscape
Models operational behavior and recommends configuration changes to improve the performance of complex information environments.
US20140201116A1 ↗
Reference data · ETL
Detecting reference-data tables in integration processes
Identifies likely reference-data tables inside ETL workflows so they can be governed and handled more intelligently.
US8583626B2 ↗
Glossaries · Reference data
Inferring valid values for glossary concepts
Extends glossary coverage by identifying relevant reference-data values through relationships and relevance scoring.
US20140164399A1 ↗
Architecture · Semantic reasoning
Semantic questioning for information architectures
Applies semantic questions to architecture models to reveal relationships, gaps, and implications across complex systems.
US20130080461A1 ↗
Security · Gap analysis
Security capability reference models
Uses goal-oriented models to compare security capabilities and identify architecture gaps.
US8819820B2 ↗
Semantic graphs · Feedback
Generating semantic graphs for enterprise assets
Builds and improves relationships among information assets using feedback-reinforced search and navigation.
US8782039B2 ↗
Ontology · Data discovery
Ontology-guided reference-data discovery
Uses ontology-based signals to identify reference data and support more consistent enterprise integration.
US8250101B2 ↗Books & publications
Representative work on reference data, information virtualization, semantic extraction, metadata, and enterprise integration.
View Google Scholar ↗RDM
Journal chapter
Principled Reference Data Management for Big Data and Business Intelligence
A solution-oriented approach to stewardship, governance, quality, and architecture for enterprise reference data.
View publication ↗IV
Technical white paper
Technical Strategies for Information Virtualization
Pragmatic architecture patterns for making distributed information more accessible and reusable.
View publication ↗AI
Conference paper
Ontology-guided Extraction of Complex Nested Relationships
A modular approach to extracting structured, queryable relationships from natural-language text.
View paper ↗MD
Conference paper
Metadata Exploitation in Large-scale Data Migration Projects
Metadata capabilities for improving governance, quality control, and delivery in complex integration programs.
View paper ↗IBM
IBM Redbooks
Practical Guide to Managing Reference Data
An implementation-oriented guide to planning, modeling, integrating, governing, and operating an enterprise reference-data hub.
View book ↗OA
Conference paper
Ontology-guided Reference Data Alignment in Information Integration Projects
A semantic approach to detecting and aligning reference-data values across source and target systems.
View paper ↗From idea to impact