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Knowledge Graph

532 articles · Page 6 of 6
Meituan Technology Team
Meituan Technology Team
Oct 18, 2018 · Artificial Intelligence

AI Challenger 2018: Global AI Competition and Technical Insights

The AI Challenger 2018 competition, co‑hosted by Innovation Workshop, Sogou, Meituan‑Dianping and Meitu, provides over ten new datasets, more than ten research and industry tracks, and prizes exceeding 3 million RMB, with Meituan‑Dianping debuting as organizer on fine‑grained sentiment analysis and autonomous‑driving perception tracks, and launching a technical salon offering live courses such as the October 24 session on knowledge graphs and Meitu’s AI brain.

AI competitionKnowledge GraphSentiment Analysis
0 likes · 6 min read
AI Challenger 2018: Global AI Competition and Technical Insights
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 18, 2018 · Artificial Intelligence

AI-Powered Smart Document Processing for International Trade

This article outlines how Alibaba engineers apply AI, image processing, natural language processing, and knowledge‑graph techniques to automate and secure the handling of complex, image‑heavy trade documents, dramatically improving efficiency, reducing risk, and enabling scalable, low‑cost solutions for SMEs in international commerce.

AIDocument AutomationKnowledge Graph
0 likes · 14 min read
AI-Powered Smart Document Processing for International Trade
Efficient Ops
Efficient Ops
Oct 7, 2018 · Operations

How AIOps Can Turn IT Operations into Fully Unmanned Systems

This article explains the challenges of traditional human‑centric IT operations, introduces a quantitative unmanned‑operations rating method, describes how AIOps (AI for IT Operations) provides the perception‑decision‑action loop, and showcases intelligent fault detection and knowledge‑graph techniques that together enable a path toward fully autonomous operations.

AIOpsIntelligent Fault DetectionKnowledge Graph
0 likes · 20 min read
How AIOps Can Turn IT Operations into Fully Unmanned Systems
iQIYI Technical Product Team
iQIYI Technical Product Team
Sep 28, 2018 · Artificial Intelligence

CCF Multimedia Committee Visit to iQIYI – AI, Knowledge Graph, and Multimedia Technology Presentations

During the CCF Multimedia Committee’s visit to iQIYI, senior researchers and professors presented cutting‑edge AI, knowledge‑graph‑driven content distribution, image‑text sentiment matching, and intelligent multimedia transmission technologies, while interactive tours of studios and labs deepened academia‑industry collaboration and highlighted iQIYI’s innovative multimedia ecosystem.

AICCFKnowledge Graph
0 likes · 8 min read
CCF Multimedia Committee Visit to iQIYI – AI, Knowledge Graph, and Multimedia Technology Presentations
Ctrip Technology
Ctrip Technology
Sep 27, 2018 · Artificial Intelligence

Application of Knowledge Graphs in the Internet Tourism Industry

This article examines the distinctive features of tourism-domain knowledge graphs, outlines methods for constructing them from internal and external data sources, and explores their practical applications such as question‑answering bots, personalized recommendation, and advanced search within the online travel sector.

AIGraph DatabaseKnowledge Graph
0 likes · 11 min read
Application of Knowledge Graphs in the Internet Tourism Industry
DataFunTalk
DataFunTalk
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 GraphNLPe-commerce
0 likes · 15 min read
Construction of a Second‑Hand E‑commerce Knowledge Graph and Its Application in Pricing Models
DataFunTalk
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.

Artificial IntelligenceData EngineeringIntelligent Assistant
0 likes · 13 min read
From Zero to One: Building and Deploying Knowledge Graphs at Beike Real Estate
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.

AIData ModelingKnowledge Graph
0 likes · 13 min read
How Alibaba Built an E‑commerce Knowledge Graph to Power Smarter Search
Alibaba Cloud Developer
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 Engine
0 likes · 9 min read
How Alibaba’s “Cangjingge” Knowledge Engine Powers AI with Massive Graphs
JD Tech
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 DataGraph DatabaseKnowledge Graph
0 likes · 8 min read
Understanding Graph Databases: Concepts, History, Use Cases, and Comparative Overview
JD Retail Technology
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
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.

Graph DatabaseKnowledge GraphSemantic Web
0 likes · 18 min read
How to Build a Knowledge Graph from Scratch: Bottom‑Up Techniques Explained
Alibaba Cloud Developer
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 GraphSemantic Reasoning
0 likes · 9 min read
How Alibaba’s Knowledge Graph Powers Real-Time Product Safety with AI
21CTO
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.

ClusterCypherGraph Database
0 likes · 12 min read
Choosing Between Neo4j and OrientDB: A Practical Guide to Building Knowledge Graphs
Alibaba Cloud Developer
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
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 MechanismKnowledge GraphPCNN
0 likes · 14 min read
How Deep Learning Transforms Knowledge Graph Relation Extraction
Alibaba Cloud Developer
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
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
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.

Artificial IntelligenceKnowledge GraphKnowledge engineering
0 likes · 12 min read
How Large-Scale Knowledge Graphs Are Shaping AI and Natural Language Understanding
Ctrip Technology
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.

Knowledge GraphNatural Language Understandingdeep learning
0 likes · 18 min read
Intelligent Human‑Computer Interaction: Technical Practices of Alibaba’s “Ali Xiaomi” Chatbot
JD Retail Technology
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.

Artificial IntelligenceKnowledge Graphdata quality
0 likes · 9 min read
Machine Learning Applications for Product Data Quality and Knowledge Graph Construction at JD.com
Ctrip Technology
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.

Graph DatabaseKnowledge Graphdeep learning
0 likes · 13 min read
Building and Applying Large‑Scale Knowledge Graphs: Construction, Reasoning, and Use Cases
Architects' Tech Alliance
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
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 DataKnowledge Graph
0 likes · 14 min read
How Alibaba Turns Big Data into ‘Data New Energy’ with Automated Tagging and Distributed Knowledge Graphs
Baidu Intelligent Testing
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
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 GraphNatural Language Understanding
0 likes · 18 min read
How Alibaba’s ‘Ali Xiaomi’ Chatbot Merges NLU, Knowledge Graphs, and Deep RL
Ctrip Technology
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 ApplicationsAdvertisingKnowledge Graph
0 likes · 6 min read
Deep Learning Meetup Recap: Applications in Travel, Advertising, NLP, Computer Vision, and Knowledge Graphs
Ctrip Technology
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
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 GraphSemantic Webexam robot
0 likes · 5 min read
Reasoning Techniques in Knowledge Graphs and Their Application to a High‑School Exam Robot