Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 95 for “"knowledge graph"”.
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Knowledge Graph Extension by Entity Type Recognition
Knowledge graphs have emerged as a sophisticated advancement and refinement of semantic networks, and their deployment is one of the critical methodologies in contemporary artificial intelligence. The construction of knowledge graphs is a multifaceted process involving various techniques, where …
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Descriptive knowledge graph for explaining entity relationships
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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Question Answering on Dynamic Knowledge Graph for Chemistry
… implementing applications. While the chemistry Knowledge Graph provides a solution for representing this data and information, it poses challenges for human users to access it efficiently. A Knowledge Graph Question Answering system is one of the solutions. However, due to the specific nature of …
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StoryNet: A 5W1H-based knowledge graph to connect stories
Stories are a powerful medium through which the human community has exchanged information since the dawn of the information age. They have taken multiple forms like articles, movies, books, plays, short films, magazines, mythologies, etc. With the ever-growing complexity of information …
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Effective Knowledge Graph Aggregation for Malware-Related Cybersecurity Text
… sifting through much repeated information. Knowledge graphs, a structured representation of relationship information, are an effective way to visually condense information presented in large amounts of unstructured text for human readers. Thusly, they are useful for sifting through the …
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Fact-based visual question answering using knowledge graph embeddings
… of the world, and seamlessly leverage their knowledge and experiences while reasoning about the outside world perceived through vision and language. Fact-based Visual Question Answering (FVQA), a challenging variant of VQA, requires a QA-system to mimic this human ability. It must include …
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An Interactive Visual Paradigm for Knowledge Graph Question-Answering
… data reliability and provenance is critical, yet knowledge graphs (KGs) often remain complex for non-expert users. This thesis introduces TRACE, a Reasoning and Answer-path Comprehension Engine, a visualization tool enhancing transparency in KG question answering (KGQA). By abstracting intricate …
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Pretraining Table Embeddings for Knowledge Graph Based Provenance Systems
We aim to build a knowledge graph based provenance system for data objects across institutions and teams. The world of data objects and systems is complex and heterogeneous. For effective collaboration, a shared data model is needed. Specifically, this work examines the problem of provenance …
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Building a Knowledge Graph for Food, Energy, and Water Systems
A knowledge graph represents millions of facts and reliable information about people, places, and things. Several companies like Microsoft, Amazon, and Google have developed knowledge graphs to better customer experience. These knowledge graphs have proven their reliability and their usage for …
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ABM: attention-based message passing network for knowledge graph completion
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-12-01
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A dynamic knowledge graph approach to self-driving chemical laboratories
… in chemical experiments by utilising a dynamic knowledge graph to unify the representation of data, software, hardware, and workflow. The developed approach is applied to a few selected case studies. To realise a self-driving chemical laboratory, the design-make-test-analyse cycle is first …
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A Knowledge Graph based Method on Language Understanding for Customer Service
… they have limitations on exploring relevant knowledge as side information in specific domain. Therefore, a specific knowledge graph can be utilized to construct a question and answering system on customer service. In this thesis, we propose a knowledge graph based method named …
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Methods for Knowledge Graph Construction from Text Collections: Development and Applications
… pressing challenges for extracting actionable knowledge for several application scenarios. However, the extraction of rich semantic knowledge demands the deployment of scalable and flexible automatic methods adaptable across text genres and schema specifications. Moreover, the full potential of …
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SPIRAL: Iterative Subgraph Expansion for Knowledge-Graph Based Retrieval-Augmented Generation
… (RAG) mitigates this risk, yet existing graph-based retrievers either return bloated neighborhoods or incur prohibitive latency on large knowledge graphs (KGs). We introduce SPIRAL—Supervised Prior + Iterative Reinforcement with Adaptive Labelling—a lightweight two-stage framework that …
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Supporting Visual Analytics System Authoring Through Knowledge Graph Representations of Design Studies
… the reasoning behind key decisions and the knowledge generated through expert interactions during the study itself. In this work, we address this gap by introducing a methodology for capturing and analyzing these design studies, grounded in three real-world urban visual analytics projects …
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Optimizing cybersecurity knowledge graph question answering: a framework for performance and generalization
UTC's ForensiQ system demonstrates that Knowledge Graph Question Answering (KGQA) systems can handle the scale and complexity of Internet of Things (IoT) forensics. However, using KGQA systems requires a high level of technical expertise, and there are concerns about ForensiQ's inference speed and …
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Knowledge graph reasoning and its applications: A pathway towards neural symbolic AI
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms
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A dynamic knowledge graph approach for studying the decarbonisation of power systems
This thesis introduces a dynamic knowledge graph framework, providing a reusable, interoperable, and extensible approach for cross-domain analyses in power system studies, facilitating research on decarbonisation. Domain ontologies were designed to conceptualise the power system and used to create …
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Performance Enhancement of Unified Recommendation and Knowledge Graph Completion Learning by Relation Rotation
… (RS) by jointly learning the recommendation and knowledge graph completion (KGC) tasks. Recent studies have established that considering the incomplete nature of knowledge graphs (KG) can further enhance the performance of RS. However, most existing MTL models depend on translation-based …
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