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Ontology

121 articles · Page 2 of 2
DataFunSummit
DataFunSummit
Jan 7, 2026 · Artificial Intelligence

How Healthpeak Turned Property Management into an AI‑Powered, Ontology‑Driven Operation

Healthpeak, a large medical‑real‑estate REIT, replaced manual spreadsheets and fragmented systems with Palantir’s AI Platform (AIP), building a four‑layer ontology‑based architecture that automates sub‑meter billing, voice‑driven workflows, and real‑time analytics, dramatically boosting efficiency, scalability, and data‑driven decision making.

AIAutomationOntology
0 likes · 19 min read
How Healthpeak Turned Property Management into an AI‑Powered, Ontology‑Driven Operation
DataFunTalk
DataFunTalk
Jan 6, 2026 · Artificial Intelligence

How Healthpeak Transformed Commercial Real Estate Ops with Palantir’s AI Platform

The article details Healthpeak’s shift from fragmented spreadsheets to an ontology‑driven AI operating system built on Palantir AIP, covering the problem domain, four‑layer architecture, automated billing and voice‑driven workflows, implementation lessons, measurable business impact, and a 2026 vision for a fully interconnected enterprise.

AICommercial Real EstateOntology
0 likes · 18 min read
How Healthpeak Transformed Commercial Real Estate Ops with Palantir’s AI Platform
PaperAgent
PaperAgent
Jan 6, 2026 · Artificial Intelligence

How Ontology‑Driven GraphRAG Eliminates Noise in AI Knowledge Graphs

This article examines the shortcomings of naïve GraphRAG implementations on clinical data and explains how an ontology‑driven, zero‑noise GraphRAG architecture can create self‑improving, conflict‑free knowledge graphs for AI applications.

AIData QualityGraphRAG
0 likes · 3 min read
How Ontology‑Driven GraphRAG Eliminates Noise in AI Knowledge Graphs
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
Dec 22, 2025 · Artificial Intelligence

How Advanced RAG Techniques Are Redefining Enterprise Knowledge Services

This article examines four cutting‑edge Retrieval‑Augmented Generation frameworks—Adaptive RAG, Agentic RAG, OG‑RAG, and OAG—detailing their definitions, core mechanisms, performance gains, and practical selection guidance for complex enterprise scenarios, while highlighting future research directions.

Enterprise KnowledgeLLMOntology
0 likes · 21 min read
How Advanced RAG Techniques Are Redefining Enterprise Knowledge Services
PaperAgent
PaperAgent
Dec 18, 2025 · Artificial Intelligence

Can Ontology‑Aware KG‑RAG Double Table QA Performance on Industrial Standards?

This article presents an ontology‑aware knowledge‑graph RAG framework that transforms complex, hierarchical industrial standard documents into a graph of sections, atomic propositions, and refined triples, achieving nearly double F1 scores on table‑based QA tasks and robust performance on long documents.

LLMOntologyRAG
0 likes · 6 min read
Can Ontology‑Aware KG‑RAG Double Table QA Performance on Industrial Standards?
DataFunSummit
DataFunSummit
Dec 1, 2025 · Artificial Intelligence

Why Palantir’s Ontology Approach Could Transform Enterprise AI – Insights from Industry Leaders

A detailed transcript of a closed‑door forum reveals how Palantir’s ontology methodology, combined with AI agents, addresses data semantics, knowledge governance, and enterprise‑level decision making, while highlighting practical challenges, evaluation frameworks, and the need for strong management and high‑quality data foundations.

Data GovernanceEnterprise AIOntology
0 likes · 27 min read
Why Palantir’s Ontology Approach Could Transform Enterprise AI – Insights from Industry Leaders
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
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
Oct 10, 2025 · Artificial Intelligence

How Ontologies Boost Large Language Models: A Comprehensive Review

This review examines how formal knowledge representations (ontologies) can be integrated with large language models to enhance reasoning, reduce hallucinations, and improve factual reliability, outlining three roles—information provider, reasoner, validator—while analyzing recent frameworks, open‑source projects, and future research challenges.

AIKnowledge IntegrationOntology
0 likes · 29 min read
How Ontologies Boost Large Language Models: A Comprehensive Review
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
Aug 22, 2025 · Industry Insights

How Business Semantic Layers Bridge Data and Large Models: Techniques and Roadmap

This article examines the rise of business semantic layers as a core enterprise infrastructure, detailing ontology construction, low‑code integration, prompt engineering, tool‑set design, implementation challenges, and future trends for tightly coupling data lakes with large language models.

Business Semantic LayerEnterprise AILow‑code Integration
0 likes · 27 min read
How Business Semantic Layers Bridge Data and Large Models: Techniques and Roadmap
Model Perspective
Model Perspective
Jul 21, 2025 · Artificial Intelligence

How to Build a Domain Knowledge Graph: Concepts, Steps, and Tools

This article introduces the fundamentals of knowledge graphs, explains their definition, applications, and provides a step‑by‑step guide along with recommended tools and technologies for building domain‑specific knowledge graphs, including data collection, entity and relation extraction, ontology construction, and graph database deployment.

AIOntologyentity extraction
0 likes · 10 min read
How to Build a Domain Knowledge Graph: Concepts, Steps, and Tools
DataFunTalk
DataFunTalk
Jun 20, 2024 · Artificial Intelligence

User Profiling Algorithms: From Ontology‑Based Methods to Deep Learning and Large Model Integration

This article provides a comprehensive overview of user profiling algorithms, covering the evolution from ontology‑based traditional methods to modern deep‑learning approaches, including structured label prediction, representation learning, active learning, and large‑model integration, while discussing challenges, practical applications, and future research directions.

Active LearningDeep LearningOntology
0 likes · 26 min read
User Profiling Algorithms: From Ontology‑Based Methods to Deep Learning and Large Model Integration
DataFunTalk
DataFunTalk
Apr 2, 2024 · Artificial Intelligence

User Portrait Algorithms: From Ontology‑Based Methods to Deep Learning and Future Directions

This article provides a comprehensive overview of user portrait algorithms, covering their historical development, ontology‑based traditional approaches, deep‑learning enhancements, representation‑learning techniques such as lookalike, active‑learning driven iteration, and the integration of large‑model world knowledge, while also discussing current challenges and future research directions.

Active LearningDeep LearningLarge Language Models
0 likes · 26 min read
User Portrait Algorithms: From Ontology‑Based Methods to Deep Learning and Future Directions
HomeTech
HomeTech
Aug 12, 2022 · Artificial Intelligence

Construction and Application of an Automotive Knowledge Graph for Recommendation Systems

This article presents a comprehensive overview of building an automotive domain knowledge graph—from ontology design, data acquisition, and graph schema construction using JanusGraph, to its practical use in cold‑start, explanation, and ranking stages of recommendation systems—highlighting challenges, solutions, and performance benefits.

AIJanusGraphOntology
0 likes · 24 min read
Construction and Application of an Automotive Knowledge Graph for Recommendation Systems
DataFunTalk
DataFunTalk
Jan 6, 2022 · Artificial Intelligence

Deep Application‑Driven Construction of Medical Knowledge Graphs

This article presents a comprehensive overview of medical knowledge graph development, covering global and domestic progress, domain characteristics, a detailed seven‑piece ontology and "Huizhi" graph construction process, platform support, and real‑world healthcare applications such as intelligent alerts, guideline recommendations, and data reporting.

Data IntegrationHealthcareMedical Knowledge Graph
0 likes · 11 min read
Deep Application‑Driven Construction of Medical Knowledge Graphs
DataFunSummit
DataFunSummit
Dec 28, 2021 · Artificial Intelligence

Deep Application‑Driven Construction of Medical Knowledge Graphs: Methods, Models, and Case Studies

This article presents a comprehensive overview of medical knowledge graph development, covering global and domestic progress, domain characteristics, a six‑step construction workflow—including schema design, ontology term set creation, and graph building—and showcases practical applications such as intelligent alerts, guideline recommendations, and data direct reporting.

Big DataData IntegrationHealthcare
0 likes · 11 min read
Deep Application‑Driven Construction of Medical Knowledge Graphs: Methods, Models, and Case Studies
DataFunTalk
DataFunTalk
Dec 9, 2019 · Artificial Intelligence

Automatic Construction of Knowledge Graphs: Methods, Challenges, and Applications

This article reviews the principles, techniques, and challenges of automatically building knowledge graphs, covering logical modeling, latent‑space analysis, human‑computer interaction, ontology support, and practical pipelines, and illustrates their use in network behavior analysis, intelligent Q&A, and recommendation systems.

Artificial IntelligenceHuman-Computer InteractionOntology
0 likes · 17 min read
Automatic Construction of Knowledge Graphs: Methods, Challenges, and Applications
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 8, 2019 · Artificial Intelligence

How Alibaba Builds a Massive E‑Commerce Concept Graph to Power Search & Recommendation

This article explains how Alibaba’s Search & Recommendation team constructs a large‑scale e‑commerce concept graph—defining e‑commerce concepts, mining them from queries and titles, building an ontology, linking concepts to entities, and applying the graph to improve personalized search and recommendation.

OntologySearchconcept mining
0 likes · 19 min read
How Alibaba Builds a Massive E‑Commerce Concept Graph to Power Search & Recommendation
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 31, 2018 · Artificial Intelligence

How Alibaba Built an E‑commerce Knowledge Graph to Power Smarter Search

This article explains Alibaba’s end‑to‑end approach to constructing an e‑commerce knowledge graph—detailing the background, challenges, data‑structuring methods, schema design, modular architecture, and deployment pipeline that enable deep user‑intent understanding across complex shopping scenarios.

AIOntologydata modeling
0 likes · 13 min read
How Alibaba Built an E‑commerce Knowledge Graph to Power Smarter Search
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 28, 2018 · Artificial Intelligence

How to Build a Knowledge Graph from Scratch: Bottom‑Up Techniques Explained

This article explains the fundamentals of knowledge graphs, compares top‑down and bottom‑up construction methods, describes data types, storage options, logical and technical architectures, and walks through the iterative steps of information extraction, knowledge fusion, processing, updating, and real‑world applications.

OntologySemantic Webgraph database
0 likes · 18 min read
How to Build a Knowledge Graph from Scratch: Bottom‑Up Techniques Explained
21CTO
21CTO
Feb 11, 2016 · Artificial Intelligence

How ICBC Leverages Text Mining to Transform Customer Service

This article details how Industrial and Commercial Bank of China (ICBC) applies text mining and natural language processing to analyze both internal call‑center records and external online discussions, building ontologies and models that turn massive unstructured feedback into actionable insights for improving service quality and reducing costs.

OntologyWord2Vecbanking
0 likes · 21 min read
How ICBC Leverages Text Mining to Transform Customer Service