• Skip to primary navigation
  • Skip to main content

Aggie Research Programs

Texas A&M University

  • Research Leadership
  • Undergraduates
  • Project List
  • Contacts
  • FAQs
  • Show Search
Hide Search

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

Faculty Mentor: David H. Jeong, Ph.D.
Meeting Times:
TBA
Team Size:
3
Open Spots: 0
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.

Written by:
Aahana Duggal
Published on:
August 26, 2024

Categories: FullTags: Fall 2024

Footer

Texas A&M University  |  Web Accessibility  |  Site Policies  |  Site Support

© 2021, Website by CVMBS Communications, Texas A&M College of Veterinary Medicine & Biomedical Sciences