Blog | Lokesh Sharma

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Everything, newest first.

Ontology Versioning and Release Management at Scale

A practical guide to managing semantic data contracts, CI/CD pipeline validations, and release cycles in fast-moving enterprise data systems.

Building Semantic Data Pipelines with RML and Spark

How to construct validated RDF knowledge graphs from relational databases and streaming sources at scale using RML mapping rules.

Synergy of AI and Knowledge Graphs

MCP, governed agents, GraphRAG, and neuro-symbolic data products.

Governing LLMs in the Enterprise: The Role of Knowledge Graphs and MCP

Creating guardrails for AI agents. Using ontologies as the 'ground truth' constraints for LLM actions in critical systems.

The Case for Neuro-Symbolic AI: When Knowledge Graphs Meet LLM Agents

Why pure neural architectures plateau without structured knowledge — and how the synergy of knowledge graphs, LLM agents, and governed tool protocols like MCP can unlock the next leap in enterprise AI.

Neurosymbolic AI in Supply Chain: Moving from Data Silos to Predictive Procurement

How combining LLM agents with ontological reasoning can automate supplier risk assessment and inventory forecasting.

Beyond Standard RAG: Enhancing Document Processing with Temporal Knowledge Graphs

Why vector databases aren't enough for complex R&D. The need for tracking entities and relationships over time (Temporal KG).

Semantic & Standards

Ontology engineering, semantic web modeling, SHACL, and RDF validation.

Governing LLMs in the Enterprise: The Role of Knowledge Graphs and MCP

Creating guardrails for AI agents. Using ontologies as the 'ground truth' constraints for LLM actions in critical systems.

The Case for Neuro-Symbolic AI: When Knowledge Graphs Meet LLM Agents

Why pure neural architectures plateau without structured knowledge — and how the synergy of knowledge graphs, LLM agents, and governed tool protocols like MCP can unlock the next leap in enterprise AI.

Neurosymbolic AI in Supply Chain: Moving from Data Silos to Predictive Procurement

How combining LLM agents with ontological reasoning can automate supplier risk assessment and inventory forecasting.

Ontology-Driven Data Modeling: Building Future-Proof Data Products

Bridging the gap between software engineering and semantic standards. Why data architecture needs semantics.

Beyond Standard RAG: Enhancing Document Processing with Temporal Knowledge Graphs

Why vector databases aren't enough for complex R&D. The need for tracking entities and relationships over time (Temporal KG).

Why My Portfolio Starts With Ontology-First Thinking

A short opening note on semantic systems, knowledge graphs, and the kind of technical work this site will document.

Data Engineering and Architecture

Pipelines, cloud architectures, systems engineering, and semantic databases.

The Case for Neuro-Symbolic AI: When Knowledge Graphs Meet LLM Agents

Why pure neural architectures plateau without structured knowledge — and how the synergy of knowledge graphs, LLM agents, and governed tool protocols like MCP can unlock the next leap in enterprise AI.

Ontology-Driven Data Modeling: Building Future-Proof Data Products

Bridging the gap between software engineering and semantic standards. Why data architecture needs semantics.

Writing that compounds into trust.

Latest

Ontology Versioning and Release Management at Scale

Building Semantic Data Pipelines with RML and Spark

Synergy of AI and Knowledge Graphs

Governing LLMs in the Enterprise: The Role of Knowledge Graphs and MCP

The Case for Neuro-Symbolic AI: When Knowledge Graphs Meet LLM Agents

Neurosymbolic AI in Supply Chain: Moving from Data Silos to Predictive Procurement

Beyond Standard RAG: Enhancing Document Processing with Temporal Knowledge Graphs

Semantic & Standards

Governing LLMs in the Enterprise: The Role of Knowledge Graphs and MCP

The Case for Neuro-Symbolic AI: When Knowledge Graphs Meet LLM Agents

Neurosymbolic AI in Supply Chain: Moving from Data Silos to Predictive Procurement

Ontology-Driven Data Modeling: Building Future-Proof Data Products

Beyond Standard RAG: Enhancing Document Processing with Temporal Knowledge Graphs

Why My Portfolio Starts With Ontology-First Thinking

Data Engineering and Architecture

The Case for Neuro-Symbolic AI: When Knowledge Graphs Meet LLM Agents

Ontology-Driven Data Modeling: Building Future-Proof Data Products