Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
110 tokens/sec
GPT-4o
56 tokens/sec
Gemini 2.5 Pro Pro
44 tokens/sec
o3 Pro
6 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Driving Digital Engineering Integration and Interoperability Through Semantic Integration of Models with Ontologies (2206.10454v1)

Published 8 Jun 2022 in cs.AI

Abstract: Engineered solutions are becoming more complex and multi-disciplinary in nature. This evolution requires new techniques to enhance design and analysis tasks that incorporate data integration and interoperability across various engineering tool suites spanning multiple domains at different abstraction levels. Semantic Web Technologies (SWT) offer data integration and interoperability benefits as well as other opportunities to enhance reasoning across knowledge represented in multiple disparate models. This paper introduces the Digital Engineering Framework for Integration and Interoperability (DEFII) for incorporating SWT into engineering design and analysis tasks. The framework includes three notional interfaces for interacting with ontology-aligned data. It also introduces a novel Model Interface Specification Diagram (MISD) that provides a tool-agnostic model representation enabled by SWT that exposes data stored for use by external users through standards-based interfaces. Use of the framework results in a tool-agnostic authoritative source of truth spanning the entire project, system, or mission.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (8)
  1. Daniel Dunbar (1 paper)
  2. Thomas Hagedorn (3 papers)
  3. Mark Blackburn (1 paper)
  4. John Dzielski (1 paper)
  5. Steven Hespelt (1 paper)
  6. Benjamin Kruse (1 paper)
  7. Dinesh Verma (8 papers)
  8. Zhongyuan Yu (7 papers)
Citations (15)

Summary

We haven't generated a summary for this paper yet.