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ORCIDPouya Ghiasnezhad Omran
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2020 – today
- 2024
[i3]Runsong Jia, Bowen Zhang, Sergio José Rodríguez Méndez, Pouya Ghiasnezhad Omran:
Leveraging Large Language Models for Semantic Query Processing in a Scholarly Knowledge Graph. CoRR abs/2405.15374 (2024)- 2023
- [j5]Subudhi Asara Senaratne
, Peter Christen, Graham J. Williams, Pouya Ghiasnezhad Omran:
Unsupervised Identification of Abnormal Nodes and Edges in Graphs. ACM J. Data Inf. Qual. 15(1): 8:1-8:37 (2023) - [j4]Pouya Ghiasnezhad Omran, Kerry Taylor, Sergio José Rodríguez Méndez, Armin Haller:
Learning SHACL shapes from knowledge graphs. Semantic Web 14(1): 101-121 (2023) - [j3]Hong Wu, Zhe Wang, Kewen Wang, Pouya Ghiasnezhad Omran, Jiangmeng Li:
Rule Learning over Knowledge Graphs: A Review. TGDK 1(1): 7:1-7:23 (2023) - [c19]Asara Senaratne, Peter Christen, Graham J. Williams, Pouya Ghiasnezhad Omran:
Rule-Based Knowledge Discovery via Anomaly Detection in Tabular Data. AAAI Spring Symposium: MAKE 2023 - [c18]Asara Senaratne, Pouya Ghiasnezhad Omran, Peter Christen, Graham J. Williams:
TRIC: A Triples Corrupter for Knowledge Graphs. ESWC (Satellite Events) 2023: 117-122 - [c17]Shixuan Liu, Pouya Ghiasnezhad Omran, Kerry Taylor:
Data Augmented Knowledge Graph Completion via Pre-trained Language Models. ISWC (Posters/Demos/Industry) 2023 - [c16]Bowen Zhang, Sergio José Rodríguez Méndez, Pouya Ghiasnezhad Omran:
ASKG: An Approach to Enrich Scholarly Knowledge Graphs through Paper Decomposition with Deep Learning. ISWC (Posters/Demos/Industry) 2023 - [p1]Pouya Ghiasnezhad Omran, Hong Wu, Zhe Wang, Kewen Wang:
Embedding-Based First-Order Rule Learning in Large Knowledge Graphs. Compendium of Neurosymbolic Artificial Intelligence 2023: 287-307 - [i2]Ehsan Emamirad, Pouya Ghiasnezhad Omran, Armin Haller, Shirley Gregor:
A System's Approach Taxonomy for User-Centred XAI: A Survey. CoRR abs/2303.02810 (2023) - 2022
- [j2]Pouya Ghiasnezhad Omran, Kerry Taylor, Sergio José Rodríguez Méndez, Armin Haller:
Active knowledge graph completion. Inf. Sci. 604: 267-279 (2022) - [c15]Pouya Ghiasnezhad Omran, Zhe Wang, Kewen Wang:
Learning Rules With Attributes and Relations in Knowledge Graphs. AAAI Spring Symposium: MAKE 2022 - [c14]Linda Kwan, Pouya Ghiasnezhad Omran, Armin Haller:
RDF* Knowledge Graph Completion by Translation. ISWC (Posters/Demos/Industry) 2022 - 2021
- [j1]Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang:
An Embedding-Based Approach to Rule Learning in Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 33(4): 1348-1359 (2021) - [c13]Subudhi Asara Senaratne, Pouya Ghiasnezhad Omran, Graham J. Williams, Peter Christen:
Unsupervised Anomaly Detection in Knowledge Graphs. IJCKG 2021: 161-165 - [c12]Sandaru Seneviratne, Sergio José Rodríguez Méndez, Xuecheng Zhang, Pouya Ghiasnezhad Omran, Kerry Taylor, Armin Haller:
TNNT: The Named Entity Recognition Toolkit. K-CAP 2021: 249-252 - [c11]Sergio José Rodríguez Méndez, Pouya Ghiasnezhad Omran, Armin Haller, Kerry Taylor:
MEL: Metadata Extractor & Loader. ISWC (Posters/Demos/Industry) 2021 - [i1]Sandaru Seneviratne, Sergio José Rodríguez Méndez, Xuecheng Zhang, Pouya Ghiasnezhad Omran, Kerry Taylor, Armin Haller:
TNNT: The Named Entity Recognition Toolkit. CoRR abs/2108.13700 (2021) - 2020
- [c10]Jesse Wright, Sergio José Rodríguez Méndez, Armin Haller, Kerry Taylor, Pouya Ghiasnezhad Omran:
Schímatos: A SHACL-Based Web-Form Generator for Knowledge Graph Editing. ISWC (2) 2020: 65-80 - [c9]Pouya Ghiasnezhad Omran, Kerry Taylor, Sergio José Rodríguez Méndez, Armin Haller:
Active Knowledge Graph Completion. ISWC (Demos/Industry) 2020: 89-94 - [c8]Pouya Ghiasnezhad Omran, Kerry Taylor, Sergio José Rodríguez Méndez, Armin Haller:
Towards SHACL Learning from Knowledge Graphs. ISWC (Demos/Industry) 2020: 94-99 - [c7]Jesse Wright, Sergio José Rodríguez Méndez, Armin Haller, Kerry Taylor, Pouya Ghiasnezhad Omran:
on2ts- Typescript generation from OWL ontologies and SHACL. ISWC (Demos/Industry) 2020: 358-363 - [c6]Sergio José Rodríguez Méndez, Armin Haller, Pouya Ghiasnezhad Omran, Jesse Wright, Kerry Taylor:
J2RM: An ontology-based JSON-to-RDF Mapping tool. ISWC (Demos/Industry) 2020: 368-373
2010 – 2019
- 2019
- [c5]Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang:
Learning Temporal Rules from Knowledge Graph Streams. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2019 - [c4]Pouya Ghiasnezhad Omran, Zhe Wang, Kewen Wang:
Knowledge Graph Rule Mining via Transfer Learning. PAKDD (3) 2019: 489-500 - [c3]Hong Wu, Zhe Wang, Xiaowang Zhang, Pouya Ghiasnezhad Omran, Zhiyong Feng, Kewen Wang:
A System for Reasoning-based Link Prediction in Large Knowledge Graphs. ISWC (Satellites) 2019: 121-124 - 2018
- [c2]Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang:
Scalable Rule Learning via Learning Representation. IJCAI 2018: 2149-2155 - 2016
- [c1]Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang:
Transfer Learning in Probabilistic Logic Models. Australasian Conference on Artificial Intelligence 2016: 378-389
Coauthor Index
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