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 21 for “"Graph Database"”.
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Graph database, and its tale on uncertainty
… real world, many complex objects are modelled as graphs. For instance, social networks, protein interaction networks, chemical compounds, World Wide Web, network design, work flows, and etc. While many models utilise Certain Graphs, in some cases, uncertainty on data is inherent, thus they are …
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Interoperability between the StraboSpot graph database and GIS software– A Malpais Mesa Use Case
Geographic Information Systems (GIS) have been used by field geoscientists for decades to digitally collect data with several benefits: observations can be made in the field at a map independent scale while using multiple basemaps, the burdensome task of digitizing handwritten field notes and maps …
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Graph based management of temporal data
… and retrieval of temporal data using an existing graph database system (i.e., Neo4j) without extending with additional operators. Our work focuses on temporal data represented as intervals (event with a start and end time). We propose a novel way of storing temporal interval as cartesian points …
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Inference of Cyber Threats, Vulnerabilities, and Mitigations to Enhance Cybersecurity Simulations
… code. We apply these techniques to BRON, a graph database linking cybersecurity threats, vulnerability sources, and mitigation techniques, in order to extract a wider variety of relationships, and more effectively analyze them. We find that prompt engineering in large language models …
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Using Machine Learning for Description and Inference of Cyber Threats, Vulnerabilities, and Mitigations
… amount of text data in cybersecurity. We use a graph database named BRON, which contains data from publicly available threat and vulnerability sources, for machine learning inference. Applying machine learning to BRON can provide us with more robust relationships, which can improve defenses …
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Mogway: um arcabouço para bancos de dados múltiplos grafos
Graphs are a powerful representation technique, capable of capturing the relationship between entities. They are useful to understand a wide variety of data sets from many areas like science, government and business. In the last years has resurged the interest in storing and managing graph data due …
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Analyzing Multi-Agent Reinforcement Learning and Coevolution in Cybersecurity Simulations
… network architecture in a zero-sum game using a graph database linking cybersecurity attack patterns, vulnerabilities, and software. To support these simulations, we introduce a data-driven approach to generate enterprise network samples. We apply coevolution to this challenging environment, and, …
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Building data storage and analytic backend services for listen online
… be variant. Therefore, traditional relational database management systems (RDBMSs) cannot properly work here to handle the unstructured data. This thesis introduces a system which integrates both Neo4j, a graph database, and MySQL, a traditional relational database, together to solve the …
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A natural language interface for querying graph databases
… amount of knowledge in the world is stored in graph databases. However, most people have limited or no understanding of database schemes and query languages. Providing a tool that translates natural language queries into structured queries allows people without this technical knowledge or …
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SKEWER: Sentiment Knowledge Extraction with Entity Recognition
… California legislature. It features a searchable database of state legislative committee hearings, with each hearing accompanied by a transcript that was generated by an internal transcription tool.</p> <p>This thesis presents SKEWER, a pipeline for building a spoken-word knowledge graph from …
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Investigation of HIV-TB co-infection through analysis of the potential impact of host genetic variation on host-pathogen protein interactions
… response to HIV and Mtb infection. We used a graph-based approach to identify novel variants in the MHC region within African samples without mapping to the canonical reference genome. We generated a host-pathogen functional interaction network made up of inter- and intraspecies protein …
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Incentivizing Collaboration on Space Sustainability: Detectability, Identifiability, and Trackability of Space Missions
… Second, this thesis demonstrates how ASTRIAGraph, a knowledge-graph database that combines data from multiple space data sources, can be used to facilitate parts of the DIT analysis. Finally, it conducts a multi-case study to examine how missions from regions outside of the United States and …
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A BIM - GIS Integrated Information Model Using Semantic Web and RDF Graph Databases
… as Building Information Modelling (BIM) and Geographical Information Systems (GIS) are frequently used to meet such high demands. However, sharing data and information between these two domains is still challenging. At the same time, the semantic or syntactic strategies for inter-communication …
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(Multilingual) Knowledge representation for epistemological access
… entities and relations, using the conceptual graphs formalism. While the labels for the entities were in English, the links between the entities were provided in both English and in the variety of Afrikaans called Kaaps. A knowledge-based application, using Jupyter notebook and a graph …
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Cohesive Subgraph Computation in Graphs
For many years, graph model has been an important vehicle to many real-world applications. Significant research efforts have been devoted towards efficiently and effectively managing and analysing graph data. Among them, mining and querying cohesive subgraph structure in massive networks is of …
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Towards Storing 3D Model Graphs in Relational Databases
The increasing relevance of massive graph data reinforces the need for adequate graph data management. While several graph database engines have been developed, the storage of graph data in a relational database management system, and therefore the seamless integration into existing information …
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The SUDO Framework: For Data Organization And Efficient Query Authorization For NoSQL Databases
Due to the variety of NoSQL databases and database models, along with their schemaless nature, it has been a challenge to develop a framework that can enforce fine-grained access control policies and can be applicable to multiple NoSQL databases ranging over a variety of database models. In this …
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Design Foundations of Graph Databases
The property graph model and graph database management systems such as Neo4j have become increasingly popular. Naturally, questions around graph data modelling best practices arise. Graph databases are perceived as very intuitive and our research will provide evidence to showcase their benefits. …
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Data preservation and reproducibility at the LHCb experiment at CERN
… In order to document these dependencies, a graph database was designed and implemented. The nodes in the graph represent the data with their processing information, software and computational environment, whilst the edges represent their dependence on the other nodes. The database provides a …
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Multi-modal and inertial sensor solutions for navigation-type factor graphs
… is described by a non-Gaussian factor graph model. Existing inference algorithms in simultaneous localization and mapping assume Gaussian measurement uncertainty, resulting in complex front-end processes that attempt to deal with non-Gaussian measurements. Existing robustness approaches …
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