PDF Viewer

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (16)

[1]
OmEGa(Ω): Ontology-based information extraction framework for constructing task-centric knowledge graph from manufacturing documents with large language model
2025Midan Shim, Hyojun Choi et al.
[2]
KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment
2025Yuxing Lu, Jinzhuo Wang
[3]
Applying Large Language Models in Knowledge Graph-based Enterprise Modeling: Challenges and Opportunities
2025Benedikt Reitemeyer, Hans-Georg Fill
[4]
SS08: Development and application of knowledge graphs and large language models technology
2024Yuting Yang, Minghao Wang et al.
[5]
Low-resource knowledge graph completion based on knowledge distillation driven by large language models
2024Wenlong Hou, Weidong Zhao et al.
[6]
Fine-tuning the process
2024Mike Hale
[7]
An ontology-based knowledge representation framework for aircraft maintenance processes to support work optimization
2024Zixu Kang, Dong Zhou et al.
[8]
Exploring Large Language Models for Knowledge Graph Completion
2023Liang Yao, Jiazhen Peng et al.
[9]
An Intent-based Network Empowered by Knowledge Graph: Enhancement of Intent Translation and Management Function for Vertical Industry
2023D. Wang, Shenhu Zhang et al.
[10]
The Semantic Asset Administration Shell
2019Sebastian R. Bader, M. Maleshkova
[11]
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
2018Dimitri Kartsaklis, Mohammad Taher Pilehvar et al.
[12]
Current status and advancement of cyber-physical systems in manufacturing
2015Lihui Wang, Martin Törngren et al.
[13]
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
2015J. Lee, B. Bagheri et al.
[14]
Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm
2014Fadi Shrouf, Joaquín B. Ordieres Meré et al.
[15]
The servitization of manufacturing: A review of literature and reflection on future challenges
2009T. Baines, H. Lightfoot et al.
[16]
MASON: A Proposal For An Ontology Of Manufacturing Domain
2006S. Lemaignan, A. Siadat et al.

Founder's Pitch

"Unified framework integrating LLMs and Knowledge Graphs for intent-driven smart manufacturing."

Smart ManufacturingScore: 7View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

2/4 signals

5

Series A Potential

1/4 signals

2.5

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 2/12/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.