Page 26 - Sirius_Annual_Report_2021

Highlights of 2021
• We organized 2 workshops (Ontology Matching workshop, NeSy workshop)
• We organised 2 challenges (OAEI and SemTab)
• We published more than 20 papers
• We won a best paper award at the LDK 2021 conference
• Three non-SIRIUS researchers joined our program
• Summaya Mumtaz completed her PhD
• We are organizing the Journal of Web Semantics Special Issue on «Automating Knowledge Graph Construction»
• Ernesto Jimenez-Ruiz gave a keynote at the Description Logics workshop and is co-organizing the Interest Group on Knowledge Graphs at The Alan Turing Institute
[1] Peyman Rasouli and Ingrid Chieh Yu: «Explainable Debugger for Black-box Machine Learning Models.» 2021 International Joint Conference on Neural Networks (IJCNN), IEEE, pp. 1-10, 2021. [https:/ieeexplore.ieee.org/document/9533944]
[2] Erik B. Myklebust, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen: «Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings.» Semantic Web journal (2021). [http:/www.semantic-web-journal.net/system/files/swj2804.pdf]
[3] Magnus Holter and Basil Ell: «Towards Scope Detection in Textual Requirements.» 3rd Conference on Language, Data and Knowledge (LDK 2021). [https:/drops.dagstuhl.de/opus/volltexte/2021/14567/pdf/OASIcs-LDK-2021-31.pdf]
[4] David Jaime Tena Cucala, Bernardo Cuenca Grau, Egor V. Kostylev, Boris Motik: «Explainable GNN-Based Models over Knowledge Graphs.» International Conference on Learning Representations (ICLR 2022). [https:/openreview.net/pdf?id=CrCvGNHAIrz]
[5] Shuwen Liu, Bernardo Cuenca Grau, Ian Horrocks, Egor V. Kostylev: «INDIGO: GNN-based inductive knowledge graph completion using pair-wise encoding.» The 34th Annual Conference on Advances in Neural Information Processing (NeurIPS 2021). [https:/proceedings.neurips.cc/paper/2021/file/ 0fd600c953cde8121262e322ef09f70e-Paper.pdf]
[6] Summaya Mumtaz and Martin Giese: «Frequency-Based vs. Knowledge-Based Similarity Measures for Categorical Data.» AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1). 2020. [http:/ceur-ws.org/Vol-2600/paper16.pdf]
[7] Daniel Bakkelund: «Order preserving hierarchical agglomerative clustering.» Machine Learning (2021). [https:/link.springer.com/content/pdf/10.1007/ s10994-021-06125-0.pdf]
[8] Jiaoyan Chen, Pan Hu, Ernesto Jiménez-Ruiz, Ole Magnus Holter, Denvar Antonyrajah, Ian Horrocks: «OWL2Vec*: embedding of OWL ontologies.» Machine Learning 110.7 (2001): 1813-1845. [https:/link.springer.com/content/pdf/10.1007/s10994-021-05997-6.pdf]
[9] Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Denvar Antonyrajah, Ali Hadian, Jaehun Lee: «Augmenting Ontology Alignment by Semantic Embedding and Distant Supervision.» Extended Semantic Web Conference (2021): 392-408. [https:/openaccess.city.ac.uk/id/eprint/25810/1/]
[10] Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Evgeny Kharlamov, Yulin Shen: «Efficient Computation of Semantically Cohesive Subgraphs for Keyword-Based Knowledge Graph Exploration.» WWW 2021: 1410-1421. [https:/dl.acm.org/doi/pdf/10.1145/3442381.3449900]
[11] Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Jie Tang, Evgeny Kharlamov: «Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees.» IJCAI 2021: 1555-1562. [https:/www.ijcai.org/proceedings/2021/0215.pdf]
[12] Baifan Zhou, Yulia Svetashova, Andre Gusmao, Ahmet Soylu, Gong Cheng, Ralf Mikut, Arild Waaler, Evgeny Kharlamov: «SemML: Facilitating development of ML models for condition monitoring with semantics.» Journal of Web Semantics 71: 100664 (2021). [https:/reader.elsevier.com/reader/sd/pii/ S1570826821000391]
[13] Baifan Zhou, Dongzhuoran Zhou, Jieying Chen, Yulia Svetashova, Gong Cheng, Evgeny Kharlamov: «Scaling Usability of ML Analytics with Knowledge Graphs: Exemplified with A Bosch Welding Case.» IJCKG 2021: 54-63. [https:/dl.acm.org/doi/pdf/10.1145/3502223.3502230]
[14] Dongzhuoran Zhou, Baifan Zhou, Jieying Chen, Gong Cheng, Egor V. Kostylev, Evgeny Kharlamov: «Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding.» IJCKG 2021: 145-150. [https:/dl.acm.org/doi/pdf/10.1145/3502223.3502243]
[15] Basil Ell, Mohammad Fazleh Elahi, and Philipp Cimiano: «Bridging the Gap Between Ontology and Lexicon via Class-Specific Association Rules Mined from a Loosely-Parallel Text-Data Corpus.» 3rd Conference on Language, Data and Knowledge (LDK 2021). [https:/drops.dagstuhl.de/opus/volltexte/2021/14569/ pdf/OASIcs-LDK-2021-33.pdf]
[16] Xiaxia Wang, Gong Cheng, Tengteng Lin, Jing Xu, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu: «PCSG: Pattern-Coverage Snippet Generation for RDF Datasets.» ISWC 2021: 3-2.
[17] Roberto Avogadro, Marco Cremaschi, Ernesto Jiménez-Ruiz, Anisa Rula: «A Framework for Quality Assessment of Semantic Annotations of Tabular Data.» International Semantic Web Conference (2021): 528-545. [https:/openaccess.city.ac.uk/id/eprint/26426/1/]
[18] Yuan He, Jiaoyan Chen, Denvar Antonyrajah, Ian Horrocks: «BERTMap: A BERT-based Ontology Alignment System.» AAAI 2022. [https:/arxiv.org/ abs/2112.02682]
[19] Jiaoyan Chen, Yuan He, Ernesto Jimenez-Ruiz, Hang Dong, Ian Horrocks: «Contextual Semantic Embeddings for Ontology Subsumption Prediction.» Submitted to KR 2022. [https:/arxiv.org/abs/2202.09791]
[20] Peyman Rasouli and Ingrid Chieh Yu: «Analyzing and Improving the Robustness of Tabular Classiers using Counterfactual Explanations.» 20th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 1286-1293, 2021. [https:/ieeexplore.ieee.org/document/9679972]
26 | SIRIUS ANNUAL REPORT 2021