从A到Z设计、实现和部署企业知识图谱

Azanzi Jiomekong, Folefac Martins Derick Asong
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摘要

企业知识图(EKGs)在人工智能(AI)领域变得越来越重要。它经常用于组织科学数据,组织公司和组织中的数据,避免数据孤岛,向参与任务的所有利益相关者提供数据的共同视图,使用推理机制从现有信息中推断非隐藏信息等。本教程的目的是让读者熟悉心电图的完整开发和集成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing, implementing and deploying an Enterprise Knowledge Graph from A to Z
Enterprise Knowledge Graphs (EKGs) are increasingly becoming important in the Artificial Intelligence (AI) world. It’s frequently used to organize scientific data, organize data in companies and organizations, avoid data silos, furnish a common view of data to all stakeholders involved in a task, infer non hidden information from existing ones using the reasoning mechanism, etc. Our aim in this tutorial is to familiarize our audience with the complete development and integration of an EKG.
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