Pouya Ghiasnezhad Omran

According to our database, Pouya Ghiasnezhad Omran authored at least 29 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Anomaly Detection and Classification in Knowledge Graphs.

Asara Senaratne, Peter Christen, Pouya Ghiasnezhad Omran, Graham J. Williams

CoRR, 2024

Leveraging Large Language Models for Semantic Query Processing in a Scholarly Knowledge Graph.

Runsong Jia, Bowen Zhang, Sergio José Rodríguez Méndez, Pouya Ghiasnezhad Omran

CoRR, 2024

Using Knowledge Graphs and Agentic LLMs for Factuality Text Assessment and Improvement.

Linda Kwan, Pouya Ghiasnezhad Omran, Kerry Taylor

Proceedings of the ISWC 2024 Posters, 2024

Towards Building an RDF-based Deep Document Model and Retrieval Augmented Generation System for Enhanced Question Answering with Large Language Models.

Runsong Jia, Bowen Zhang, Sergio José Rodríguez Méndez, Pouya Ghiasnezhad Omran

Proceedings of the ISWC 2024 Posters, 2024

2023

Unsupervised Identification of Abnormal Nodes and Edges in Graphs.

Subudhi Asara Senaratne, Peter Christen, Graham J. Williams, Pouya Ghiasnezhad Omran

ACM J. Data Inf. Qual., March, 2023

Embedding-Based First-Order Rule Learning in Large Knowledge Graphs.

Pouya Ghiasnezhad Omran, Hong Wu, Zhe Wang, Kewen Wang

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Rule Learning over Knowledge Graphs: A Review.

Hong Wu, Zhe Wang, Kewen Wang, Pouya Ghiasnezhad Omran, Jiangmeng Li

TGDK, 2023

Learning SHACL shapes from knowledge graphs.

Pouya Ghiasnezhad Omran, Kerry Taylor, Sergio José Rodríguez Méndez, Armin Haller

Semantic Web, 2023

A System's Approach Taxonomy for User-Centred XAI: A Survey.

Ehsan Emamirad, Pouya Ghiasnezhad Omran, Armin Haller, Shirley Gregor

CoRR, 2023

ASKG: An Approach to Enrich Scholarly Knowledge Graphs through Paper Decomposition with Deep Learning.

Bowen Zhang, Sergio José Rodríguez Méndez, Pouya Ghiasnezhad Omran

Proceedings of the ISWC 2023 Posters, 2023

Data Augmented Knowledge Graph Completion via Pre-trained Language Models.

Shixuan Liu, Pouya Ghiasnezhad Omran, Kerry Taylor

Proceedings of the ISWC 2023 Posters, 2023

TRIC: A Triples Corrupter for Knowledge Graphs.

Asara Senaratne, Pouya Ghiasnezhad Omran, Peter Christen, Graham J. Williams

Proceedings of the Semantic Web: ESWC 2023 Satellite Events - Hersonissos, Crete, Greece, May 28, 2023

Rule-Based Knowledge Discovery via Anomaly Detection in Tabular Data.

Asara Senaratne, Peter Christen, Graham J. Williams, Pouya Ghiasnezhad Omran

Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023), 2023

2022

Active knowledge graph completion.

Pouya Ghiasnezhad Omran, Kerry Taylor, Sergio José Rodríguez Méndez, Armin Haller

Inf. Sci., 2022

RDF* Knowledge Graph Completion by Translation.

Linda Kwan, Pouya Ghiasnezhad Omran, Armin Haller

Proceedings of the ISWC 2022 Posters, 2022

Learning Rules With Attributes and Relations in Knowledge Graphs.

Pouya Ghiasnezhad Omran, Zhe Wang, Kewen Wang

Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), 2022

2021

An Embedding-Based Approach to Rule Learning in Knowledge Graphs.

Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang

IEEE Trans. Knowl. Data Eng., 2021

MEL: Metadata Extractor & Loader.

Sergio José Rodríguez Méndez, Pouya Ghiasnezhad Omran, Armin Haller, Kerry Taylor

Proceedings of the ISWC 2021 Posters, 2021

TNNT: The Named Entity Recognition Toolkit.

Sandaru Seneviratne, Sergio José Rodríguez Méndez, Xuecheng Zhang, Pouya Ghiasnezhad Omran, Kerry Taylor, Armin Haller

Proceedings of the K-CAP '21: Knowledge Capture Conference, 2021

Unsupervised Anomaly Detection in Knowledge Graphs.

Subudhi Asara Senaratne, Pouya Ghiasnezhad Omran, Graham J. Williams, Peter Christen

Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

2020

on2ts- Typescript generation from OWL ontologies and SHACL.

Jesse Wright, Sergio José Rodríguez Méndez, Armin Haller, Kerry Taylor, Pouya Ghiasnezhad Omran

Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

Schímatos: A SHACL-Based Web-Form Generator for Knowledge Graph Editing.

Jesse Wright, Sergio José Rodríguez Méndez, Armin Haller, Kerry Taylor, Pouya Ghiasnezhad Omran

Proceedings of the Semantic Web - ISWC 2020, 2020

Towards SHACL Learning from Knowledge Graphs.

Pouya Ghiasnezhad Omran, Kerry Taylor, Sergio José Rodríguez Méndez, Armin Haller

Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

J2RM: An ontology-based JSON-to-RDF Mapping tool.

Sergio José Rodríguez Méndez, Armin Haller, Pouya Ghiasnezhad Omran, Jesse Wright, Kerry Taylor

Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

2019

A System for Reasoning-based Link Prediction in Large Knowledge Graphs.

Hong Wu, Zhe Wang, Xiaowang Zhang, Pouya Ghiasnezhad Omran, Zhiyong Feng, Kewen Wang

Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

Knowledge Graph Rule Mining via Transfer Learning.

Pouya Ghiasnezhad Omran, Zhe Wang, Kewen Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Learning Temporal Rules from Knowledge Graph Streams.

Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang

Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) Stanford University, 2019

2018

Scalable Rule Learning via Learning Representation.

Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2016

Transfer Learning in Probabilistic Logic Models.

Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang

Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016