Fall 2024: Developing Semantic Interoperability Technology for Construction Projects leveraging LLMs

Affiliations:

STEM Research Leadership

Project Leader:

Chan Young Park

pcy5443@tamu.edu

Construction Science

Meeting Times:

TBA

Team Size:

Open Spots:

Special Opportunities:

Student will be considered for co-authors on publications. Depending on performance, students will have the opportunity to be a member of our research group with appropriate compensation.

Team Needs:

We are seeking students familiar with NLP and LLMs. Familiarity with P&ID diagrams is preferred.

Description:

We aim to develop applications that address the challenges of semantic interoperability in construction projects, specifically focusing on Piping & Instrumentation Diagrams (P&IDs) used in process plants. P&IDs are critical documents throughout a project’s lifecycle, but interoperability issues often arise due to the variety of software used by different stakeholders. The key objectives of this project are:
– Semantic Matching and Translation: Utilizing natural language processing (NLP) to match and translate varying terminology across P&ID software platforms.
– Document Generation Leveraging Large Language Model: Leveraging large language models (LLMs) to generate standardized P&ID documents that are interoperable across various P&ID software.