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Sep 21, 2018 · Artificial Intelligence

Construction of a Second‑Hand E‑commerce Knowledge Graph and Its Application in Pricing Models

This article explains how a knowledge graph for second‑hand e‑commerce is built—from data extraction and entity, attribute, and relation mining to ontology construction, entity alignment, and graph integration—and describes how the resulting graph supports personalized recommendation, search optimization, and statistical or regression‑based pricing models.

Knowledge GraphNLPentity extraction

0 likes · 15 min read

Construction of a Second‑Hand E‑commerce Knowledge Graph and Its Application in Pricing Models

DataFunTalk

Sep 2, 2018 · Artificial Intelligence

From Zero to One: Building and Deploying Knowledge Graphs at Beike Real Estate

This article details the evolution, architecture, and practical applications of knowledge graphs at Beike Real Estate, covering their historical background, five‑view advantages, data pipelines, ontology construction, intelligent search, recommendation, and chatbot integration, while also discussing challenges and future directions.

Intelligent AssistantKnowledge GraphNLP

0 likes · 13 min read

From Zero to One: Building and Deploying Knowledge Graphs at Beike Real Estate

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.

AIKnowledge GraphOntology

0 likes · 13 min read

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

Alibaba Cloud Developer

Aug 23, 2018 · Artificial Intelligence

How Alibaba’s “Cangjingge” Knowledge Engine Powers AI with Massive Graphs

Alibaba, together with top Chinese universities and research institutes, unveiled the Cangjingge Knowledge Engine project, detailing its massive data assets, five‑module architecture, large‑scale knowledge construction techniques, and initial deployments in safety and tourism knowledge graphs to boost AI applications.

AIAlibabaKnowledge Graph

0 likes · 9 min read

How Alibaba’s “Cangjingge” Knowledge Engine Powers AI with Massive Graphs

JD Tech

Jul 24, 2018 · Databases

Understanding Graph Databases: Concepts, History, Use Cases, and Comparative Overview

This article explains what graph databases are, traces their evolution from early navigational models to modern distributed systems, highlights their core concepts and advantages over relational databases, showcases typical application scenarios, and provides a comparative overview of popular open‑source graph database engines to guide technology selection.

Big DataKnowledge GraphNoSQL

0 likes · 8 min read

Understanding Graph Databases: Concepts, History, Use Cases, and Comparative Overview

JD Retail Technology

Jul 18, 2018 · Artificial Intelligence

JD's AI-Driven Image Automation and Knowledge Graph Applications in E-commerce

JD.com describes its AI-powered image automation pipeline—including intelligent cutout, layout learning, and batch synthesis—along with a large-scale product knowledge graph that enables applications such as the JIMI customer service robot and the Li Bai writing assistant for global e-commerce.

AICustomer Service RobotKnowledge Graph

0 likes · 7 min read

JD's AI-Driven Image Automation and Knowledge Graph Applications in E-commerce

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.

Information ExtractionKnowledge GraphOntology

0 likes · 18 min read

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

Alibaba Cloud Developer

Jun 13, 2018 · Artificial Intelligence

How Alibaba’s Knowledge Graph Powers Real-Time Product Safety with AI

Alibaba’s knowledge graph leverages massive product data, NLP, semantic reasoning, and machine‑learning inference to detect and block counterfeit, infringing, or unsafe items in real time, providing millisecond‑level responses, self‑learning capabilities, and explainable decisions across e‑commerce platforms, thereby protecting intellectual property and consumer rights.

AIKnowledge Graphe‑commerce

0 likes · 9 min read

How Alibaba’s Knowledge Graph Powers Real-Time Product Safety with AI

21CTO

Mar 25, 2018 · Databases

Choosing Between Neo4j and OrientDB: A Practical Guide to Building Knowledge Graphs

This article explains the origins of knowledge graphs, introduces the leading graph databases Neo4j and OrientDB, demonstrates their Java client usage, and compares their features to help developers select the most suitable technology for constructing effective knowledge graph solutions.

ClusterCypherJava

0 likes · 12 min read

Choosing Between Neo4j and OrientDB: A Practical Guide to Building Knowledge Graphs

Alibaba Cloud Developer

Mar 19, 2018 · Artificial Intelligence

How Alibaba’s Smart Dialogue Platform Turns Search into AI‑Powered Conversations

This article details Alibaba’s Shenma Search intelligent dialogue system, covering its content taxonomy, platform architecture, TaskBot/QABot/ChatBot engines, knowledge‑graph infrastructure, production pipelines, and performance metrics that enable AI‑driven information services across devices like Tmall Genie.

AI dialogueAlibabaKnowledge Graph

0 likes · 18 min read

How Alibaba’s Smart Dialogue Platform Turns Search into AI‑Powered Conversations

Alibaba Cloud Developer

Mar 15, 2018 · Artificial Intelligence

How Deep Learning Transforms Knowledge Graph Relation Extraction

This article reviews the evolution from rule‑based DeepDive methods to deep‑learning approaches such as PCNNs and attention‑enhanced models for relation extraction, presents experimental results on the NYT dataset, discusses practical challenges in large‑scale deployment, and outlines future research directions.

Attention MechanismDeep LearningKnowledge Graph

0 likes · 14 min read

How Deep Learning Transforms Knowledge Graph Relation Extraction

Alibaba Cloud Developer

Mar 14, 2018 · Artificial Intelligence

DeepDive Powers Knowledge Graph Relation Extraction for Shenma Search

This article explains how Alibaba’s Shenma Search team builds and refines a large‑scale knowledge graph using open information extraction, detailing relation‑extraction techniques, distant supervision challenges, and the DeepDive system’s architecture, custom Chinese NLP pipeline, iterative improvements, and empirical results across millions of triples.

DeepDiveKnowledge Graphdistant supervision

0 likes · 28 min read

DeepDive Powers Knowledge Graph Relation Extraction for Shenma Search

Alibaba Cloud Developer

Feb 5, 2018 · Artificial Intelligence

How Alibaba’s AliMe Evolved in 2017: AI Architecture, Algorithms, and Real‑World Impact

In 2017 Alibaba's AliMe chatbot platform expanded from a single‑company solution to a multilingual, multi‑channel AI service, introducing platform‑level SaaS/PaaS capabilities, a seven‑layer front‑end architecture, modular back‑end design, advanced intent recognition, knowledge‑graph‑driven product management, reinforcement‑learning‑based recommendation, and machine‑reading comprehension for enterprise and consumer use cases.

AI PlatformAlibabaChatbot

0 likes · 23 min read

How Alibaba’s AliMe Evolved in 2017: AI Architecture, Algorithms, and Real‑World Impact

Alibaba Cloud Developer

Dec 23, 2017 · Artificial Intelligence

How Large-Scale Knowledge Graphs Are Shaping AI and Natural Language Understanding

The December 20 Knowledge Graph symposium in Hangzhou, organized by Alibaba and the Chinese Society of Computational Linguistics, gathered leading Chinese scholars who discussed the pivotal role of massive knowledge graphs in AI, natural language processing, knowledge engineering, reasoning, and data‑driven intelligence.

Knowledge EngineeringKnowledge Graphartificial intelligence

0 likes · 12 min read

How Large-Scale Knowledge Graphs Are Shaping AI and Natural Language Understanding

JD Tech

Nov 30, 2017 · Artificial Intelligence

Interview with JD Infrastructure Chief Architect He Xiaofeng on Real‑time Computing and Product Data Mining

He Xiaofeng, JD Mall Infrastructure chief architect, discusses his role in building a real‑time computing platform, applying streaming frameworks, machine learning, and knowledge‑graph techniques to product data mining, improve search accuracy, and outline future research directions.

InfrastructureJD.comKnowledge Graph

0 likes · 5 min read

Interview with JD Infrastructure Chief Architect He Xiaofeng on Real‑time Computing and Product Data Mining

Ctrip Technology

Oct 19, 2017 · Artificial Intelligence

Intelligent Human‑Computer Interaction: Technical Practices of Alibaba’s “Ali Xiaomi” Chatbot

This article presents a comprehensive overview of Alibaba’s intelligent chatbot “Ali Xiaomi”, covering industry context, e‑commerce deployment, NLU architecture, intent‑matching layers, deep‑learning‑based intent classification, reinforcement‑learning‑driven recommendation, knowledge‑graph‑enhanced services, and hybrid retrieval‑generation dialogue models, with future outlooks for AI‑driven interaction.

Deep LearningKnowledge Graphe‑commerce

0 likes · 18 min read

Intelligent Human‑Computer Interaction: Technical Practices of Alibaba’s “Ali Xiaomi” Chatbot

JD Retail Technology

Sep 13, 2017 · Artificial Intelligence

Machine Learning Applications for Product Data Quality and Knowledge Graph Construction at JD.com

At the 2nd China Big Data International Summit 2017, JD’s chief architect presented how machine‑learning techniques are applied across e‑commerce to improve product data quality, ensure compliance, resolve image‑text mismatches, automate category identification, restructure titles, and build a multi‑dimensional product knowledge graph.

Data QualityKnowledge Graphartificial intelligence

0 likes · 9 min read

Machine Learning Applications for Product Data Quality and Knowledge Graph Construction at JD.com

Alibaba Cloud Developer

Aug 30, 2017 · Artificial Intelligence

How Alibaba’s Knowledge Graph Powers Real‑Time Product Governance with AI

Alibaba’s massive product knowledge graph combines billions of triples, AI‑driven inference, and semantic reasoning to enable millisecond‑level, explainable detection of illegal or counterfeit items across its e‑commerce ecosystem, improving platform governance and consumer experience.

AIAlibabaInference Engine

0 likes · 8 min read

How Alibaba’s Knowledge Graph Powers Real‑Time Product Governance with AI

Ctrip Technology

Aug 28, 2017 · Artificial Intelligence

Building and Applying Large‑Scale Knowledge Graphs: Construction, Reasoning, and Use Cases

This article examines the construction, reasoning, and large‑scale applications of knowledge graphs, discussing graph building techniques, storage solutions, deep‑learning‑based entity extraction, inference models such as TransR and RESCAL, and how these graphs enhance search, recommendation, and other AI systems.

Deep LearningKnowledge Graphentity recognition

0 likes · 13 min read

Building and Applying Large‑Scale Knowledge Graphs: Construction, Reasoning, and Use Cases

Architects' Tech Alliance

Jul 19, 2017 · Industry Insights

How AI Can Transform Software Integration: From MiddleBox to Knowledge Graphs

The article examines the evolution of integration architectures, identifies persistent data‑search, adaptation, and system‑linkage challenges, and proposes AI‑driven solutions such as knowledge‑graph self‑service and deep‑learning UI automation, illustrating how intelligent integration can reshape software development pipelines.

AI integrationDevOpsKnowledge Graph

0 likes · 13 min read

How AI Can Transform Software Integration: From MiddleBox to Knowledge Graphs

Alibaba Cloud Developer

Jul 17, 2017 · Artificial Intelligence

How Alibaba Turns Big Data into ‘Data New Energy’ with Automated Tagging and Distributed Knowledge Graphs

Alibaba's senior algorithm expert Yang Hongxia explains how the company fuses massive, heterogeneous data sources into a unified platform, builds automated tag‑production pipelines and large‑scale distributed knowledge graphs, and applies these technologies to drive smarter business decisions and AI‑enabled services.

AlibabaBig DataData Platform

0 likes · 14 min read

How Alibaba Turns Big Data into ‘Data New Energy’ with Automated Tagging and Distributed Knowledge Graphs

Baidu Intelligent Testing

Jun 20, 2017 · Big Data

Design and Challenges of Web Crawlers and Link Scheduling for Knowledge Graph Construction

The article explains how web crawlers (spiders) collect data for knowledge graphs, covering core tasks, major challenges, crawler features, new‑link expansion, storage design, link‑selection scheduling strategies, and the role of large‑scale data mining and machine learning in optimizing crawl efficiency.

Big DataKnowledge GraphSpider

0 likes · 17 min read

Design and Challenges of Web Crawlers and Link Scheduling for Knowledge Graph Construction

Alibaba Cloud Developer

May 11, 2017 · Artificial Intelligence

How Alibaba’s ‘Ali Xiaomi’ Chatbot Merges NLU, Knowledge Graphs, and Deep RL

Alibaba’s ‘Ali Xiaomi’ chatbot leverages a layered architecture that integrates intent recognition, multi‑type matching, knowledge‑graph‑based entity management, deep reinforcement learning, and hybrid retrieval‑generation models to deliver high‑accuracy, scalable conversational services across e‑commerce, customer support, and intelligent recommendation scenarios.

ChatbotKnowledge Graphdeep reinforcement learning

0 likes · 18 min read

How Alibaba’s ‘Ali Xiaomi’ Chatbot Merges NLU, Knowledge Graphs, and Deep RL

Model Perspective

Sep 25, 2016 · Fundamentals

Designing Effective Lessons on Function Parity and Monotonicity: Strategies and Difficulty Analysis

This article outlines a detailed lesson plan for teaching function parity and monotonicity, analyzes teaching difficulties, proposes a knowledge‑graph model for instructional sequencing, and discusses time‑budget constraints to optimize student understanding.

Knowledge Graphdifficulty analysisfunction parity

0 likes · 10 min read

Designing Effective Lessons on Function Parity and Monotonicity: Strategies and Difficulty Analysis

Ctrip Technology

Aug 12, 2016 · Artificial Intelligence

Deep Learning Meetup Recap: Applications in Travel, Advertising, NLP, Computer Vision, and Knowledge Graphs

Last month Ctrip Technology Center hosted a deep‑learning meetup featuring academic and industry experts from UCL, Fudan, Southeast University, Nanjing University, Huawei, Sogou and others, who presented real‑world applications of deep learning in travel, advertising, natural language processing, computer vision, and knowledge graphs.

AI applicationsAdvertisingComputer Vision

0 likes · 6 min read

Deep Learning Meetup Recap: Applications in Travel, Advertising, NLP, Computer Vision, and Knowledge Graphs

Ctrip Technology

Jul 29, 2016 · Artificial Intelligence

Knowledge Graph Based Question Answering System: Architecture, Research Results, and Deep Learning Approaches

This article presents a knowledge‑graph‑driven question answering system, detailing its three‑layer architecture, semantic search and disambiguation techniques, verb‑semantic templates, deep‑learning models, experimental results, and current challenges in data quality and model integration.

Knowledge Graphentity recognitionquestion answering

0 likes · 7 min read

Knowledge Graph Based Question Answering System: Architecture, Research Results, and Deep Learning Approaches

Ctrip Technology

Jul 29, 2016 · Artificial Intelligence

Reasoning Techniques in Knowledge Graphs and Their Application to a High‑School Exam Robot

The talk reviews the history and concepts of knowledge graphs, explains logical and statistical reasoning methods—including rule‑based and representation‑learning approaches—and demonstrates how these techniques can be applied to build an intelligent robot that assists students in solving high‑school exam problems.

Knowledge Graphexam robotreasoning

0 likes · 5 min read

Reasoning Techniques in Knowledge Graphs and Their Application to a High‑School Exam Robot