Tags: knowledge graphs

Research Areas

  1. knowledge graphs

Publications

2023

  1. V. Mulwad, T. Finin, V. S. Kumar, J. W. Williams, S. Dixit, and A. Joshi, "A Practical Entity Linking System for Tables in Scientific Literature", InProceedings, 3rd Workshop on Scientific Document Understanding at AAAI-2023, February 2023, 72 downloads.
  2. P. Ranade, "Knowledge-Embedded Narrative Construction from Open Source Intelligence", InProceedings, Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23) Doctoral Consortium, February 2023, 123 downloads.

2022

  1. A. Piplai, M. Anoruo, K. Fasaye, A. Joshi, T. Finin, and A. Ridley, "Knowledge guided Two-player Reinforcement Learning for Cyber Attacks and Defenses", InProceedings, International Conference on Machine Learning and Applications, December 2022, 159 downloads.
  2. V. Rawte, K. Roy, M. Chakraborty, M. Gaur, K. Faldu, P. Kikani, H. Akbari, and A. Sheth, "TDLR: Top (Semantic)-Down (Syntactic) Language Representation", InProceedings, Attention Workshop, 36th Conference on Neural Information Processing Systems (NeurIPS 2022), November 2022, 29 downloads.
  3. C. Hanks, M. Maiden, P. Ranade, T. Finin, and A. Joshi, "Recognizing and Extracting Cybersecurity Entities from Text", InProceedings, Workshop on Machine Learning for Cybersecurity, International Conference on Machine Learning, July 2022, 349 downloads.
  4. S. Chukkapalli, A. Joshi, T. Finin, and R. F. Erbacher, "CAPD: A Context-Aware, Policy-Driven Framework for Secure and Resilient IoBT Operations", InProceedings, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV, SPIE Defense + Commercial Sensing, April 2022, 172 downloads.
  5. S. Mitra, A. Piplai, S. Mittal, and A. Joshi, "Combating Fake Cyber Threat Intelligence using Provenance in Cybersecurity Knowledge Graphs", IEEE International Conference on Big Data 2021, January 2022, 439 downloads.

2021

  1. S. Dasgupta, A. Piplai, P. Ranade, and A. Joshi, "Cybersecurity Knowledge Graph Improvement with Graph Neural Networks", InProceedings, International Conference on Big Data, December 2021, 212 downloads.
  2. A. Kotal, A. Joshi, and K. P. Joshi, "The Effect of Text Ambiguity on creating Policy Knowledge Graphs", InProceedings, IEEE International Conference on Big Data and Cloud Computing (BDCloud 2021), September 2021, 337 downloads.
  3. P. Ranade, A. Piplai, S. Mittal, A. Joshi, and T. Finin, "Generating Fake Cyber Threat Intelligence Using Transformer-Based Models", Proceedings, International Joint Conference on Neural Networks (IJCNN 2021), July 2021, 465 downloads.

2020

  1. A. Piplai, S. Mittal, A. Joshi, T. Finin, J. Holt, and R. Zak, "Creating Cybersecurity Knowledge Graphs from Malware After Action Reports", Proceedings, IEEE Access Journal, December 2020, 812 downloads.
  2. A. Piplai, P. Ranade, A. Kotal, S. Mittal, S. N. Narayanan, and A. Joshi, "Using Knowledge Graphs and Reinforcement Learning for Malware Analysis", InProceedings, IEEE International Conference on Big Data 2020, December 2020, 744 downloads.

2019

  1. A. Padia, K. Kalpakis, F. Ferraro, and T. Finin, "Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization", Article, Journal of Web Semantics, December 2019, 825 downloads.
  2. A. Padia, "Joint Models to Refine Knowledge Graphs", PhdThesis, University of Maryland, Baltimore County, December 2019, 259 downloads.
  3. A. Padia, K. Kalpakis, F. Ferraro, and T. Finin, "Reflections on: Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization", InProceedings, International Semantic Web Conference (Journal Track), October 2019, 525 downloads.
  4. A. Padia, "Joint Models to Refine Knowledge Graphs", PhdThesis, October 2019, 456 downloads.
  5. S. Mittal, "Knowledge for Cyber Threat Intelligence", PhdThesis, University of Maryland, Baltimore County, May 2019, 221 downloads.

2017

  1. A. Padia, "Cleaning Noisy Knowledge Graphs", InProceedings, Proceedings of the Doctoral Consortium at the 16th International Semantic Web Conference, October 2017, 1065 downloads.
  2. S. Mittal, A. Joshi, and T. Finin, "Thinking, Fast and Slow: Combining Vector Spaces and Knowledge Graphs", TechReport, arXiv, August 2017, 1182 downloads.
  3. S. Mittal, A. Joshi, and T. Finin, "Thinking, Fast and Slow: Combining Vector Spaces and Knowledge Graphs", Article, CoRR, August 2017, 910 downloads.
  4. A. Banerjee, R. Dalal, S. Mittal, and K. P. Joshi, "Generating Digital Twin models using Knowledge Graphs for Industrial Production Lines", InProceedings, Workshop on Industrial Knowledge Graphs, co-located with the 9th International ACM Web Science Conference 2017, June 2017, 1825 downloads.

2016

  1. A. Padia, K. Kalpakis, and T. Finin, "Inferring Relations in Knowledge Graphs with Tensor Decompositions", InProceedings, IEEE International Conference on Big Data , December 2016, 1330 downloads.