Alexander Kalinowski

According to our database, Alexander Kalinowski authored at least 19 papers between 2020 and 2024.

Collaborative distances:

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

2024

Is the Lecture Engaging for Learning? Lecture Voice Sentiment Analysis for Knowledge Graph-Supported Intelligent Lecturing Assistant (ILA) System.

Yuan An, Samarth Kolanupaka, Jacob An, Matthew Ma, Unnat Chhatwal, Alex Kalinowski, Michelle Rogers, Brian Smith

CoRR, 2024

Enhancing semantic interoperability across materials science with HIVE4MAT.

Jane Greenberg, Kio Polson, Scott McClellan, Xintong Zhao, Alex Kalinowski, Yuan An

Proceedings of the First International Workshop on Semantic Materials Science: Harnessing the Power of Semantic Web Technologies in Materials Science co-located with the 20th International Conference on Semantic Systems (SEMANTiCS 2024), 2024

Representing Knowledge Graph Triples through Siamese Line Graph Sampling.

Alexander Kalinowski, Yuan An

Proceedings of the International Joint Conference on Neural Networks, 2024

Is the Lecture Engaging? Lecture Sentiment Analysis for Knowledge Graph-Supported Intelligent Lecturing Assistant (ILA) System.

Yuan An, Samarth Kolanupaka, Jacob An, Matthew Ma, Unnat Chhatwal, Alex Kalinowski, Michelle Rogers, Brian Smith

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Knowledge Graph Question Answering for Materials Science (KGQA4MAT): Developing Natural Language Interface for Metal-Organic Frameworks Knowledge Graph (MOF-KG).

Yuan An, Jane Greenberg, Alexander Kalinowski, Xintong Zhao, Xiaohua Hu, Fernando J. Uribe-Romo, Kyle Langlois, Jacob Furst, Diego A. Gómez-Gualdrón

CoRR, 2023

Knowledge Graph Question Answering for Materials Science (KGQA4MAT).

Yuan An, Jane Greenberg, Fernando J. Uribe-Romo, Diego A. Gómez-Gualdrón, Kyle Langlois, Jacob Furst, Alex Kalinowski, Xintong Zhao, Xiaohua Hu

Proceedings of the Metadata and Semantic Research - 17th Research Conference, 2023

A Scalable Approach to Aligning Natural Language and Knowledge Graph Representations: Batched Information Guided Optimal Transport.

Alexander Kalinowski, Deepayan Datta, Yuan An

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Building Open Knowledge Graph for Metal-Organic Frameworks (MOF-KG): Challenges and Case Studies.

Yuan An, Jane Greenberg, Xintong Zhao, Xiaohua Hu, Scott McClellan, Alexander Kalinowski, Fernando J. Uribe-Romo, Kyle Langlois, Jacob Furst, Diego A. Gómez-Gualdrón, Fernando Fajardo-Rojas, Katherine Ardila

CoRR, 2022

Exploring Wasserstein distance across concept embeddings for ontology matching.

Yuan An, Alexander Kalinowski, Jane Greenberg

Proceedings of the 17th International Workshop on Ontology Matching (OM 2022) co-located with the 21th International Semantic Web Conference (ISWC 2022), 2022

Prompt Design and Answer Processing for Knowledge Base Construction from Pre-trained Language Models.

Xiao Fang, Alexander Kalinowski, Haoran Zhao, Ziao You, Yuhao Zhang, Yuan An

Proceedings of the Semantic Web Challenge on Knowledge Base Construction from Pre-trained Language Models 2022 co-located with the 21st International Semantic Web Conference (ISWC2022), 2022

Repurposing Knowledge Graph Embeddings for Triple Representation via Weak Supervision.

Alexander Kalinowski, Yuan An

Proceedings of the 3rd International Conference on Intelligent Data Science Technologies and Applications, 2022

Is There a Limit to the Utility of Analogy? A Case Study in Knowledge Graph Triple Representation.

Alexander Kalinowski, Yuan An

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

Exploring Pre-Trained Language Models to Build Knowledge Graph for Metal-Organic Frameworks (MOFs).

Yuan An, Jane Greenberg, Xiaohua Hu, Alexander Kalinowski, Xiao Fang, Xintong Zhao, Scott McClellan, Fernando J. Uribe-Romo, Kyle Langlois, Jacob Furst, Diego A. Gómez-Gualdrón, Fernando Fajardo-Rojas, Katherine Ardila, Semion Saikin, Corey A. Harper, Ron Daniel Jr.

Proceedings of the IEEE International Conference on Big Data, 2022

Quantifying the Impact of Predicate Similarities on Knowledge Graph Triple Embeddings.

Alexander Kalinowski, Yuan An

Proceedings of the 8th International Workshop on Artificial Intelligence and Cognition, 2022

2021

OTMapOnto: optimal transport-based ontology matching.

Yuan An, Alexander Kalinowski, Jane Greenberg

Proceedings of the 16th International Workshop on Ontology Matching co-located with the 20th International Semantic Web Conference (ISWC 2021), 2021

Exploring Sentence Embedding Structures for Semantic Relation Extraction.

Alexander Kalinowski, Yuan An

Proceedings of the International Joint Conference on Neural Networks, 2021

Clustering and Network Analysis for the Embedding Spaces of Sentences and Sub-Sentences.

Yuan An, Alexander Kalinowski, Jane Greenberg

Proceedings of the Second International Conference on Intelligent Data Science Technologies and Applications, 2021

2020

A Survey of Embedding Space Alignment Methods for Language and Knowledge Graphs.

Alexander Kalinowski, Yuan An

CoRR, 2020

A Comparative Study on Structural and Semantic Properties of Sentence Embeddings.

Alexander Kalinowski, Yuan An

CoRR, 2020