A sustainable development benchmarking framework for energy companies based on topic mining and knowledge graph: The case of oil and gas industry

X Xu, Z Liu, W Liu, C Pei, X Wu, Z Nie - Renewable and Sustainable …, 2024 - Elsevier
Benchmarking is one of the key management approaches to support companies to
continuously improve and gain competitive advantage. However, previous benchmarking …

Knowledge graph visualization: Challenges, framework, and implementation

R Nararatwong, N Kertkeidkachorn… - 2020 IEEE Third …, 2020 - ieeexplore.ieee.org
A knowledge graph (KG) is a rich resource representing real-world facts. Visualizing a
knowledge graph helps humans gain a deep understanding of the facts, leading to new …

UWKGM: A modular platform for knowledge graph management

N Kertkeidkachorn, R Nararatwong… - Proceedings of the 29th …, 2020 - dl.acm.org
A knowledge graph becomes a central data hub in the enterprise and the research
communities. Nevertheless, the development of knowledge graphs is challenging due to the …

Modeling Knowledge Graphs and Its Applicability in Multi-Source Social Network Data

AS Akinnubi - 2024 - search.proquest.com
Social network analysis is becoming more relevant with the rise of Large Language Models
and other AI frameworks, particularly as online content creation surges. However, analyzing …

[PDF][PDF] Knowledge Graph Management Platforms: A Feature Based Review

Purpose: The purpose of this study is to identify and review the existing knowledge graph
(KG) management platforms (KGMP) based on a comprehensive set of features to help KG …

[PDF][PDF] UWKGM: A Unified Workbench for Knowledge Graph Management Platform

N Kertkeidkachorn… - 人工知能学会全国大会論文 …, 2020 - scholar.archive.org
Knowledge graphs enhance AI applications, eg recommendation systems and question-
answering systems, with their vast connections of knowledge to better model real-world …

Unified Workbench for Knowledge Graph Management

QAT Dataset, TTV Dataset, ARL Demo - ai.iee.e.titech.ac.jp
Knowledge Graphs become essential knowledge resources for AI applications.
Nevertheless, massive real-world knowledge is produced every day. Ignoring new …

人工知能による科学技術研究の加速

長野希美, 池田修己, 三輪誠, 坂田一郎, 浅谷公威… - 人工知能, 2019 - jstage.jst.go.jp
2・ 1 生命科学分野のコーパス構築生命科学分野は, マクロな個体レベルから器官, 組織, 細胞,
ミクロな分子から原子, 電子などの原子下レベルに至るまでさまざまなレベルの研究が行われ …