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 GraphOWLOntology

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

Model Perspective

Jul 25, 2025 · Databases

How to Model and Deploy Knowledge Graphs with Neo4j and Python

This article explains the fundamentals of knowledge graph representation, including entities, concepts, relationships, and triple structures, and provides step‑by‑step instructions for installing Neo4j, configuring Python with py2neo, and importing CSV‑based triples into a graph database for querying and reasoning.

Knowledge GraphNeo4jPython

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How to Model and Deploy Knowledge Graphs with Neo4j and Python

DataFunTalk

May 21, 2023 · Databases

Graph Database Storage Techniques and Practices with Galaxybase

This article introduces RDF and property graph models, explains the core goals of graph database storage, compares mainstream storage solutions such as array, linked‑list and LSM‑Tree approaches, and presents practical deployment experiences of the Galaxybase distributed graph database.

Distributed SystemsGalaxybaseProperty Graph

0 likes · 23 min read

Graph Database Storage Techniques and Practices with Galaxybase

ITPUB

Aug 20, 2022 · Databases

Unlocking Knowledge Graphs: From Basics to Real‑World Applications

This article introduces the fundamentals of knowledge graphs, explores their research dimensions—including knowledge engineering, NLP, databases, and machine learning—examines graph database storage models, discusses their relevance to AI and big data, and showcases the authors' own graph‑based projects and case studies.

AIKnowledge GraphRDF

0 likes · 14 min read

Unlocking Knowledge Graphs: From Basics to Real‑World Applications

DataFunTalk

Aug 11, 2022 · Databases

Fundamentals of Knowledge Graphs, Graph Databases, and Their Applications in AI and Big Data

This article introduces the basic concepts of knowledge graphs, explores their research dimensions across knowledge engineering, natural language processing, databases and machine learning, discusses graph database storage models and their integration with artificial intelligence and big data, and presents related projects and real‑world case studies.

Big DataKnowledge GraphRDF

0 likes · 13 min read

Fundamentals of Knowledge Graphs, Graph Databases, and Their Applications in AI and Big Data

DataFunTalk

Apr 18, 2022 · Databases

Subgraph Matching in Graph Databases: Concepts, Algorithms, and Optimizations

This article introduces graph databases, explains the subgraph‑matching problem, compares it with relational databases, discusses its computational complexity, and surveys backtracking and multi‑way join algorithms, worst‑case optimal joins, set‑intersection SIMD acceleration, and the gStore system’s research contributions.

RDFSIMDSPARQL

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Subgraph Matching in Graph Databases: Concepts, Algorithms, and Optimizations

iQIYI Technical Product Team

Jul 30, 2021 · Artificial Intelligence

Construction and Application of iQIYI's Qisou Knowledge Graph

iQIYI’s Qisou Knowledge Graph, built since 2015 through a five‑stage pipeline of schema modeling, multi‑source data acquisition, entity alignment fusion, JanusGraph‑HBase storage, and inference‑driven querying, now powers precise video search, intelligent Q&A, tag mining, and relationship‑based recommendation across its platform.

AIKnowledge GraphRDF

0 likes · 14 min read

Construction and Application of iQIYI's Qisou Knowledge Graph