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semantic modeling

17 articles · Page 1 of 1
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Aug 13, 2026 · Industry Insights

Why Industrial Ontology Stumbles: From Academic Perfection to Real-World Roots

The article examines how ontology, once hailed as the key to bridging raw data and complex business logic in digital transformation, often fails in industrial settings because academic standards clash with dynamic realities, prompting a shift toward lightweight, iterative semantic models focused on objects, connections, and actions.

AI integrationKnowledge GraphOWL
0 likes · 14 min read
Why Industrial Ontology Stumbles: From Academic Perfection to Real-World Roots
Woodpecker Software Testing
Woodpecker Software Testing
Aug 11, 2026 · Artificial Intelligence

From AI Hype to Essential Testing: The 2026 AI‑Augmented Testing Landscape

By 2026, AI‑augmented testing has become a core quality gate in leading tech firms, with 87% of top software companies deploying at least two AI capabilities such as semantic‑aware test modeling, predictive defect detection, and trustworthy AI governance, as illustrated by real‑world cases from a bank, an e‑commerce platform, and an automotive OEM.

AI governanceAI testingCI/CD
0 likes · 7 min read
From AI Hype to Essential Testing: The 2026 AI‑Augmented Testing Landscape
Architect
Architect
Aug 8, 2026 · Databases

Ontology as the Semantic Control Plane for Agent Fact Systems

The article explains how an ontology—defining objects, relationships, constraints, and inferable boundaries within a domain—serves as a semantic control plane between the fact and action layers of an agent‑driven system, ensuring consistent interpretation, validation, and lifecycle management of business facts.

Agent SystemsData GovernanceGraph Databases
0 likes · 18 min read
Ontology as the Semantic Control Plane for Agent Fact Systems
ThinkingAgent
ThinkingAgent
Jun 14, 2026 · Artificial Intelligence

Ontology: The Overlooked Knowledge Infrastructure Driving AI Understanding

The article explains how ontology—a 2,500‑year‑old philosophical concept—provides the structured knowledge backbone that large language models lack, detailing its definition, differences from databases and knowledge graphs, its role in reducing hallucinations, defining knowledge boundaries, enabling reasoning, and four practical AI application scenarios.

AI agentsKnowledge GraphKnowledge Management
0 likes · 17 min read
Ontology: The Overlooked Knowledge Infrastructure Driving AI Understanding
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Jun 10, 2026 · Databases

Ontology Intelligence & Decision Modeling: From OntoGraph DB to OntoOS (WorldOS)

The article analyzes why traditional graph databases fall short for ontology‑driven intelligent applications, compares graph versus ontology databases, introduces OntoGraph as a state‑layer ontology DB, explains Property Runtime's computed‑property engine and lineage tracking, and shows how OntoFlow and OntoOS together enable end‑to‑end decision modeling and sandbox simulation.

Decision EngineGraph DatabaseKnowledge Graph
0 likes · 13 min read
Ontology Intelligence & Decision Modeling: From OntoGraph DB to OntoOS (WorldOS)
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
May 25, 2026 · Artificial Intelligence

From Filing Records to Building Dictionaries: The Paradigm Shift in Data Governance for the AI Era

The article explains how traditional data governance, which merely cleans and organizes files, fails to meet AI’s need for semantic understanding, and argues that adopting ontology‑based governance—building a “cognitive dictionary” of entities, relationships, and rules—enables machines to truly comprehend and reason over enterprise data.

AIData GovernanceEnterprise Architecture
0 likes · 13 min read
From Filing Records to Building Dictionaries: The Paradigm Shift in Data Governance for the AI Era
DataFunSummit
DataFunSummit
Apr 27, 2026 · Artificial Intelligence

How Tencent Games Leverages AI to Turn Data Governance into a Service

Tencent Games’ data governance team details an AI‑driven, end‑to‑end semantic framework that shifts traditional rule‑based data management to a service‑oriented model, cutting storage waste by 30 %, halving development time, and boosting asset recommendation accuracy to 95 % across its global gaming platform.

AIBig DataData Governance
0 likes · 19 min read
How Tencent Games Leverages AI to Turn Data Governance into a Service
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Apr 21, 2026 · Artificial Intelligence

Why Ontology Engineering Is the Secret Sauce Behind Scalable AI Agents

The article analyzes how Palantir's ontology engineering unifies semantic and operational layers to provide unified business views, executable actions, governance, and evolution capabilities that empower AI agents with reliable context, closed‑loop control, scenario simulation, and easier deployment across enterprise environments.

AI agentsEnterprise AIPalantir
0 likes · 25 min read
Why Ontology Engineering Is the Secret Sauce Behind Scalable AI Agents
AI Large Model Application Practice
AI Large Model Application Practice
Mar 2, 2026 · Artificial Intelligence

How to Build Your First Business Ontology for AI Agents – A Step‑by‑Step Guide

This article walks you through why enterprise AI agents need a semantic ontology, explains TBox and ABox concepts, outlines a general modeling workflow, introduces RDF/OWL standards and tools like Protégé and reasoners, and provides a hands‑on example—including Python code with Owlready2—to create and test a business ontology for order‑expedition rules.

Knowledge GraphOWLRDF
0 likes · 18 min read
How to Build Your First Business Ontology for AI Agents – A Step‑by‑Step Guide
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Dec 1, 2025 · Artificial Intelligence

Why Enterprises Must Rethink Ontology to Bridge the Last Mile of LLM Deployment

The article explains how a well‑designed enterprise ontology—an explicit business‑level semantic and constraint model—turns large language models from risky, hallucination‑prone tools into safe, auditable AI agents that can act across systems, enforce policies, and become a lasting digital asset.

AI governanceEnterprise AILLM Integration
0 likes · 15 min read
Why Enterprises Must Rethink Ontology to Bridge the Last Mile of LLM Deployment
DataFunSummit
DataFunSummit
Feb 5, 2024 · Artificial Intelligence

Ant Group's Knowledge Graph: Overview, Construction, Applications, and Integration with Large Models

Ant Group shares its comprehensive knowledge graph initiatives, detailing the fundamentals, construction pipeline, fusion techniques, cognitive representations, diverse business applications, and the emerging synergy between knowledge graphs and large language models, illustrating how graph-based AI enhances accuracy, interpretability, and downstream services.

Artificial IntelligenceData IntegrationGraph Fusion
0 likes · 14 min read
Ant Group's Knowledge Graph: Overview, Construction, Applications, and Integration with Large Models
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 9, 2023 · Artificial Intelligence

Designing Scalable Knowledge Graph Schemas: From Structure to Semantic Modeling

This guide presents a comprehensive methodology for building knowledge graph schemas that decouple structural representation from semantic meaning, covering schema design, attribute semantic standardization, concept modeling, multi‑relational and hypergraph techniques, and practical steps for implementation across complex business domains.

AIData ModelingKnowledge Graph
0 likes · 54 min read
Designing Scalable Knowledge Graph Schemas: From Structure to Semantic Modeling
DataFunSummit
DataFunSummit
Feb 3, 2023 · Artificial Intelligence

Interactive BERT for Relevance in Health E‑commerce Search

This article presents an in‑depth exploration of an interactive BERT‑based relevance model for health e‑commerce search, detailing the business context, query and product feature extraction, domain‑specific sample generation, model architecture enhancements, offline and online performance gains, and practical deployment through knowledge distillation.

AIBERThealth e-commerce
0 likes · 14 min read
Interactive BERT for Relevance in Health E‑commerce Search
DataFunTalk
DataFunTalk
Jan 11, 2023 · Artificial Intelligence

Exploring Interactive BERT for Relevance in Health E‑commerce Search

This article presents a comprehensive overview of Alibaba Health's interactive BERT approach for improving relevance in health e‑commerce search, covering business background, model design, domain‑specific data construction, knowledge‑distilled twin‑tower deployment, experimental results, and a detailed Q&A session.

AIBERThealth e-commerce
0 likes · 14 min read
Exploring Interactive BERT for Relevance in Health E‑commerce Search
DataFunTalk
DataFunTalk
Jul 7, 2021 · Big Data

Solving Data Island Challenges and Enabling Advanced OLAP Analysis on Heterogeneous Big Data Platforms – Kyligence Solution Overview

This article explains the growing analytical demands in the big‑data era, the limitations of traditional OLAP, and how Kyligence’s distributed OLAP engine addresses data‑island issues, multi‑dimensional and many‑to‑many analysis, unified security, and performance optimization with MDX on Spark, delivering a seamless Excel‑like experience.

Big DataData IntegrationDistributed Computing
0 likes · 9 min read
Solving Data Island Challenges and Enabling Advanced OLAP Analysis on Heterogeneous Big Data Platforms – Kyligence Solution Overview
JD Cloud Developers
JD Cloud Developers
Dec 28, 2020 · Artificial Intelligence

Top Tech Highlights: C++20 Release, AI Cloud Surge, MuZero Breakthrough & More

Last week’s developer newsletter spotlights the official C++20 standard launch, a surprising over‑100% growth in China’s AI cloud market, Nature’s discovery of universal facial expressions, DeepMind’s rule‑free MuZero game mastery, JD Cloud’s 99.995% SLA upgrade, mimik‑IBM edge‑computing partnership, a Fudan microservice fault‑localization thesis, and an AAAI paper on semantic relation modeling.

Artificial IntelligenceC++20Edge computing
0 likes · 9 min read
Top Tech Highlights: C++20 Release, AI Cloud Surge, MuZero Breakthrough & More