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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Add the specific info for your thesis
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\title{Mo-Lab: An Interactive Model Reporting and Analysis in OpenCAESER through Natural Language Processing and SPARQL Integration}
\author{Thomas Decloedt}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Add all the acronyms you use in your thesis here. %
% These will be added to the List of Acronyms %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\newacronym{abox}{ABox}{Assertional Box}
\newacronym{ai}{AI}{Artificial Intelligence}
\newacronym{ann}{ANN}{Artificial Neural Network}
\newacronym{api}{API}{Application Programming Interface}
\newacronym{aws}{AWS}{Amazon Web Services}
\newacronym{bgp}{BGP}{Basic Graph Pattern}
\newacronym{bleu}{BLEU}{Bilingual Evaluation Understudy}
\newacronym{bnode}{BNode}{Blank Node}
\newacronym{cad}{CAD}{Computer-Aided Design}
\newacronym{cf}{CF}{Coherency Factor}
\newacronym{cgp}{CGP}{Complex Graph Pattern}
\newacronym{cnl}{CNL}{Controlled Natural Language}
\newacronym{da}{DA}{Domain Adaptation}
\newacronym{dpt}{DPT}{Demonstration Per Template}
\newacronym{fsl}{FSL}{Few-Shot Learning}
\newacronym{gat}{GAT}{Graph Attention Network}
\newacronym{ged}{GED}{Graph Edit Distance}
\newacronym{gnn}{GNN}{Graph Neural Network}
\newacronym{gpm}{GPM}{Graph Pattern Matching}
\newacronym{gp}{GP}{Graph Pattern}
\newacronym{icl}{ICL}{In-Context Learning}
\newacronym{ide}{IDE}{Integrated Development Environment}
\newacronym{ir}{IR}{Information Retrieval}
\newacronym{jit}{JIT}{Just-In-Time}
\newacronym{kbqa}{KBQA}{Knowledge Base Question Answering}
\newacronym{kb}{KB}{Knowledge Base}
\newacronym{kgqan}{KGQAn}{Knowledge Graph Question Answering platform}
\newacronym{kgqa}{KGQA}{Knowledge Graph Question Answering}
\newacronym{kg}{KG}{Knowledge Graph}
\newacronym{llm}{LLM}{Large Language Model}
\newacronym{lm}{LM}{Language Model}
\newacronym{lora}{LoRA}{Low-Rank Adaptation}
\newacronym{mbse}{MBSE}{Model-Based Systems Engineering}
\newacronym{mcs}{MCS}{Maximum Common Subgraph}
\newacronym{mlp}{MLP}{Multilayer Perceptron}
\newacronym{ml}{ML}{Machine Learning}
\newacronym{nlp}{NLP}{Natural Language Processing}
\newacronym{nlu}{NLU}{Natural Language Understanding}
\newacronym{nmt}{NMT}{Neural Machine Translation}
\newacronym{nnqt}{NNQT}{Normalized Natural Question Template}
\newacronym{ocl}{OCL}{Object Constraint Language}
\newacronym{oml}{OML}{Ontological Modeling Language}
\newacronym{oov}{OOV}{Out-of-Vocabulary}
\newacronym{orkg}{ORKG}{Open Research Knowledge Graph}
\newacronym{owl2}{OWL2}{Web Ontology Language 2}
\newacronym{owl}{OWL}{Web Ontology Language}
\newacronym{pcst}{PCST}{Prize-Collecting Steiner Tree}
\newacronym{peft}{PEFT}{Parameter-Efficient Fine-Tuning}
\newacronym{pgp}{PGP}{Placeholder Graph Pattern}
\newacronym{pllm}{PLLM}{Pre-trained Large Language Model}
\newacronym{plm}{PLM}{Pre-trained Language Model}
\newacronym{qa}{QA}{Question Answering}
\newacronym{qlora}{QLoRA}{Quantized Low Rank Adaption}
\newacronym{qu}{QU}{Question Understanding}
\newacronym{rag}{RAG}{Retrieval-Augmented Generation}
\newacronym{rdf}{RDF}{Resource Description Framework}
\newacronym{s2s}{S2S}{SQUALL-to-SPARQL}
\newacronym{se}{SE}{Systems Engineering}
\newacronym{sparql}{SPARQL}{SPARQL Protocol and RDF Query Language}
\newacronym{sp}{SP}{Semantic Parsing}
\newacronym{sql}{SQL}{Structured Query Language}
\newacronym{squall}{SQUALL}{Semantic Query and Update High-Level Language}
\newacronym{swrl}{SWRL}{Semantic Web Rule Language}
\newacronym{sysml}{SysML}{Systems Modeling Language}
\newacronym{tbox}{TBox}{Terminological Box}
\newacronym{uml}{UML}{Unified Modeling Language}
\newacronym{uri}{URI}{Uniform Resource Identifier}
\newacronym{vtl}{VTL}{Velocity Template Language}
\newacronym{zsl}{ZSL}{Zero-Shot Learning}