@misc{17092,
  keywords = {software security, vulnerability prediction, knowledge graph, cyber threat intelligence},
  author = {Anders H{\o}st and Pierre Lison and Leon Moonen},
  title = {Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database},
  abstract = {Knowledge graphs have shown promise for several cybersecurity tasks, such as vulnerability assessment and threat analysis. In this work, we present a new method for constructing a vulnerability knowledge graph from information in the National Vulnerability Database (NVD). Our approach combines named entity recognition (NER), relation extraction (RE), and entity prediction using a combination of neural models, heuristic rules, and knowledge graph embeddings. We demonstrate how our method helps to fix missing entities in knowledge graphs used for cybersecurity and evaluate the performance.},
  year = {2023},
  month = {04/2023},
  publisher = {arXiv},
  url = {https://arxiv.org/abs/2305.00382},
  doi = {10.48550/arXiv.2305.00382},
}