Fetching the paper…
Reading the bibliography…
Ontology matching (OM) enables semantic interoperability between different ontologies and resolves their conceptual heterogeneity by aligning related entities.
Mind Children: The Future of Robot and Human Intelligence
Hans Moravec. 1988 · 1988
Earlier work this paper cites.
The Language Instinct: How the Mind Creates Language
Steven Pinker. 1994 · 1994
Earlier work this paper cites.
Comparison of Schema Matching Evaluations. In Web, Web-Services, and Database Systems . Springer, Erfurt, Germany, 221–237
Hong-Hai Do, Sergey Melnik, and Erhard Rahm. 2003 · 2003
Earlier work this paper cites.
DeepOnto: A Python Package for Ontology Engineering with Deep Learning
Yuan He, Jiaoyan Chen, Hang Dong, Ian Horrocks, Carlo Allocca, Taehun Kim, and Brahmananda Sapkota. 2024 · 2004
Earlier work this paper cites.
Of Mice and Men: Aligning Mouse and Human Anatomies. In American Medical Informatics Association Annual Symposium – AMIA 2005 . AMIA, Washington, DC, USA, 61–65
Olivier Bodenreider, Terry F Hayamizu, Martin Ringwald, Sherri De Coronado, and Songmao Zhang. 2005 · 2005
Earlier work this paper cites.
Sydney OWL Syntax-towards a Controlled Natural Language Syntax for OWL 1.1. In Proceedings of the OWLED 2007 Workshop on OWL: Experiences and Directions , Vol. 258. CEUR-WS.org, Innsbruck, Austria
Anne Cregan, Rolf Schwitter, and Thomas Meyer. 2007 · 2007
Earlier work this paper cites.
Introduction to Information Retrieval
Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze. 2008 · 2008
Earlier work this paper cites.
Reciprocal Rank Fusion Outperforms Condorcet and Individual Rank Learning Methods. In Proceedings of the 32nd international ACM SIGIR conference on Research and Development in Information Retrieval . ACM, Boston, MA, USA, 758–759
Gordon V. Cormack, Charles L A Clarke, and Stefan Buettcher. 2009 · 2009
Earlier work this paper cites.
Computing Machinery and Intelligence
Alan M. Turing. 2009 · 2009
Earlier work this paper cites.
Materials Ontology: An Infrastructure for Exchanging Materials Information and Knowledge
Toshihiro Ashino. 2010 · 2010
Earlier work this paper cites.
Ontology Alignment Evaluation Initiative: Six Years of Experience
Euzenat, Jérôme and Meilicke, Christian and Stuckenschmidt, Heiner and Shvaiko, Pavel and Trojahn, Cássia. 2011 · 2011
Earlier work this paper cites.
LogMap: Logic-Based and Scalable Ontology Matching. In The Semantic Web – ISWC 2011 . Springer, Bonn, Germany, 273–288
Ernesto Jiménez-Ruiz and Bernardo Cuenca Grau. 2011 · 2011
Earlier work this paper cites.
LogMap 2.0: Towards Logic-Based, Scalable and Interactive Ontology Matching. In Proceedings of the 4th International Workshop on Semantic Web Applications and Tools for the Life Sciences . ACM, London, UK, 45–46
Ernesto Jiménez-Ruiz, Bernardo Cuenca Grau, and Yujiao Zhou. 2011 · 2011
Earlier work this paper cites.
Ontology Matching: State of the Art and Future Challenges
Pavel Shvaiko and Jérôme Euzenat. 2013 · 2011
Earlier work this paper cites.
Ontology Matching (2nd ed.)
Jérôme Euzenat and Pavel Shvaiko. 2013 · 2013
Earlier work this paper cites.
The AgreementMakerLight Ontology Matching System. In On the Move to Meaningful Internet Systems: OTM 2013 Conferences . Springer, Graz, Austria, 527–541
Daniel Faria, Catia Pesquita, Emanuel Santos, Matteo Palmonari, Isabel F. Cruz, and Francisco M Couto. 2013 · 2013
Earlier work this paper cites.
Conference v2.0: An Uncertain Version of the OAEI Conference Benchmark. In The Semantic Web – ISWC 2014 . Springer, Riva del Garda, Italy, 33–48
Michelle Cheatham and Pascal Hitzler. 2014 · 2014
Earlier work this paper cites.
AgreementMakerLight 2.0: Towards Efficient Large-Scale Ontology Matching. In Proceedings of the ISWC 2014 Posters and Demonstrations Track , Vol. 1272. CEUR-WS.org, Riva del Garda, Italy, 457–460
Daniel Faria, Catia Pesquita, Emanuel Santos, Isabel F Cruz, and Francisco M Couto. 2014 · 2014
Earlier work this paper cites.
Negotiating over Ontological Correspondences with Asymmetric and Incomplete Knowledge. In Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems . IFAAMAS, Paris, France, 517–524
Terry R. Payne and Valentina Tamma. 2014 · 2014
Earlier work this paper cites.
Detecting and Correcting Conservativity Principle Violations in Ontology-to-Ontology Mappings. In The Semantic Web – ISWC 2014 . Springer, Riva del Garda, Italy, 1–16
Alessandro Solimando, Ernesto Jiménez-Ruiz, and Giovanna Guerrini. 2014 · 2014
Earlier work this paper cites.
Wikidata: A Free Collaborative Knowledge Base
Denny Vrandečić and Markus Krötzsch. 2014 · 2014
Earlier work this paper cites.
Experiences from the Anatomy Track in the Ontology Alignment Evaluation Initiative
Zlatan Dragisic, Valentina Ivanova, Huanyu Li, and Patrick Lambrix. 2017 · 2017
Earlier work this paper cites.
Minimizing Conservativity Violations in Ontology Alignments: Algorithms and Evaluation
Alessandro Solimando, Ernesto Jimenez-Ruiz, and Giovanna Guerrini. 2017 · 2017
Earlier work this paper cites.
The Ten-Year OntoFarm and its Fertilization within the Onto-Sphere
Ondřej Zamazal and Vojtěch Svátek. 2017 · 2017
Earlier work this paper cites.
Matching Biomedical Ontologies Based on Formal Concept Analysis
Mengyi Zhao, Songmao Zhang, Weizhuo Li, and Guowei Chen. 2018 · 2018
Earlier work this paper cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . ACL, Minneapolis, MN, USA, 4171–4186
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . ACL, Hong Kong, China, 3982–3992
Nils Reimers and Iryna Gurevych. 2019 · 2019
Earlier work this paper cites.
Language Models are Few-Shot Learners. In Proceedings of the 34th Annual Conference on Neural Information Processing Systems , Vol. 33. Curran Associates, Inc., Vancouver, BC, Canada, Article 159, 25 pages
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
Cited alongside, same era.
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. In Proceedings of the 34th Annual Conference on Neural Information Processing Systems , Vol. 33. Curran Associates Inc., Vancouver, BC, Canada, Article 793, 16 pages
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela. 2020 · 2020
Cited alongside, same era.
Evaluation of Automatic Ontology Matching for Materials Sciences and Engineering (Master’s thesis)
Engy Nasr. 2020 · 2020
Cited alongside, same era.
Matcha-DL a Tool for Supervised Ontology Alignment
Pedro Giesteira Cotovio, Lucas Ferraz, Daniel Faria, Laura Balbi, Marta Contreiras Silva, and Catia Pesquita. 2024 · 2024
Closest in time.
LLMs4OM: Matching Ontologies with Large Language Models
Hamed Babaei Giglou, Jennifer D’Souza, Felix Engel, and Sören Auer. 2024 · 2024
Closest in time.
Google Vertex AI Embeddings
Google Cloud. [n.d.] · 2024
Closest in time.
Google Gemma Models
Google Gemma Team and Google DeepMind. [n.d.] · 2024
Closest in time.
Ontologies for the MatOnto Project
iNovex IRAD. [n.d.] · 2024
Closest in time.
OWL Verbalizer
Kaarel Kaljurand. 2007 · 2024
Closest in time.
LangChain
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Denvar Antonyrajah, Ali Hadian, and Jaehun Lee. 2021 · 2021
Cited alongside, same era.
Combining FCA-Map with representation learning for aligning large biomedical ontologies. In Proceedings of the 16th International Workshop on Ontology Matching – ISWC 2021 , Vol. 3063. CEUR-WS.org, Virtual Conference, 207–208
Guoxuan Li, Songmao Zhang, Jiayi Wei, and Wenqian Ye. 2021 · 2021
Cited alongside, same era.
Linked Data and Semantic Web (2021-2A): Ontology Matching
Shenghui Wang. 2021 · 2021
Cited alongside, same era.
BERTMap: A BERT-based Ontology Alignment System. In Proceedings of the 36th AAAI Conference on Artificial Intelligence , Vol. 36. AAAI Press, Virtual Conference, 5684–5691
Yuan He, Jiaoyan Chen, Denvar Antonyrajah, and Ian Horrocks. 2022 · 2022
Cited alongside, same era.
Large Language Models are Zero-Shot Reasoners. In Proceedings of the 36th Annual Conference on Neural Information Processing Systems , Vol. 35. Curran Associates, Inc., New Orleans, LA, USA, Article 1613, 15 pages
Takeshi Kojima, Shixiang (Shane) Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2022 · 2022
Cited alongside, same era.
Training Language Models to Follow Instructions with Human Feedback. In Proceedings of the 36th Annual Conference on Neural Information Processing Systems , Vol. 35. Curran Associates, Inc., New Orleans, LA, USA, 27730–27744
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F Christiano, Jan Leike, and Ryan Lowe. 2022 · 2022
Cited alongside, same era.
Large Language Models Still Can’t Plan (A Benchmark for LLMs on Planning and Reasoning about Change). In NeurIPS 2022 Foundation Models for Decision Making Workshop . Curran Associates, Inc., New Orleans, LA, USA
Karthik Valmeekam, Alberto Olmo, Sarath Sreedharan, and Subbarao Kambhampati. 2022 · 2022
Cited alongside, same era.
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. In Proceedings of the 36th Annual Conference on Neural Information Processing Systems , Vol. 35. Curran Associates, Inc., New Orleans, LA, USA, Article 1800, 14 pages
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou. 2022 · 2022
Cited alongside, same era.
LLMs4OL: Large Language Models for Ontology Learning. In The Semantic Web – ISWC 2023 . Springer, Athens, Greece, 408–427
Hamed Babaei Giglou, Jennifer D’Souza, and Sören Auer. 2023 · 2023
Cited alongside, same era.
LangChain, Inc. [n.d.] · 2024
Closest in time.
Meta Llama Models
Meta. [n.d.] · 2024
Closest in time.
Copilot Studio
Microsoft. [n.d.]b · 2024
Closest in time.
Levels of AGI for Operationalizing Progress on the Path to AGI. In Proceedings of the 41st International Conference on Machine Learning , Vol. 235. ML Research Press, Vienna, Austria, 36308–36321
Meredith Ringel Morris, Jascha Sohl-Dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clement Farabet, and Shane Legg. 2024 · 2024
Closest in time.
Ontology Alignment Evaluation Initiative (OAEI)
OAEI Community. [n.d.] · 2024
Closest in time.
OpenAI Embedding Models
OpenAI. [n.d.]b · 2024
Closest in time.
OpenAI Models
OpenAI. [n.d.]c · 2024
Closest in time.
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing . ACL, Miami, FL, USA, 237–250
Oded Ovadia, Menachem Brief, Moshik Mishaeli, and Oren Elisha. 2024 · 2024
Closest in time.
pgvector
PostgreSQL Global Development Group. [n.d.]a · 2024
Closest in time.
PostgreSQL
PostgreSQL Global Development Group. [n.d.]b · 2024
Closest in time.
How Does A Text Preprocessing Pipeline Affect Ontology Syntactic Matching?
Zhangcheng Qiang, Kerry Taylor, and Weiqing Wang. 2024 · 2024
Closest in time.
RAG-Fusion
Adrian Raudaschl. [n.d.] · 2024
Closest in time.
Auto-GPT
Toran Bruce Richards. [n.d.] · 2024
Closest in time.
A Survey on Large Language Model Based Autonomous Agents
Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, and Jirong Wen. 2024 · 2024
Closest in time.
GoT: Effective Graph-of-Thought Reasoning in Language Models. In Findings of the Association for Computational Linguistics: NAACL 2024 . ACL, Mexico City, Mexico, 2901–2921
Yao Yao, Zuchao Li, and Hai Zhao. 2024 · 2024
Closest in time.
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
Aohan Zeng, Bin Xu, Bowen Wang, Chenhui Zhang, Da Yin, Dan Zhang, Diego Rojas, Guanyu Feng, Hanlin Zhao, Hanyu Lai, Hao Yu, Hongning Wang, Jiadai Sun, Jiajie Zhang, Jiale Cheng, Jiayi Gui, Jie Tang, Jing Zhang, Jingyu Sun, Juanzi Li, Lei Zhao, Lindong Wu, Lucen Zhong, Mingdao Liu, Minlie Huang, Peng Zhang, Qinkai Zheng, Rui Lu, Shuaiqi Duan, Shudan Zhang, Shulin Cao, Shuxun Yang, Weng Lam Tam, Wenyi Zhao, Xiao Liu, Xiao Xia, Xiaohan Zhang, Xiaotao Gu, Xin Lv, Xinghan Liu, Xinyi Liu, Xinyue Yang, Xixuan Song, Xunkai Zhang, Yifan An, Yifan Xu, Yilin Niu, Yuantao Yang, Yueyan Li, Yushi Bai, Yuxiao Dong, Zehan Qi, Zhaoyu Wang, Zhen Yang, Zhengxiao Du, Zhenyu Hou, and Zihan Wang. 2024 · 2024
Closest in time.
Large Language Model Assisted Multi-Agent Dialogue for Ontology Alignment. In Proceedings of the 2024 International Conference on Autonomous Agents and Multiagent Systems . IFAAMAS, Auckland, New Zealand, 2594–2596
Shiyao Zhang, Yuji Dong, Yichuan Zhang, Terry R. Payne, and Jie Zhang. 2024b · 2024
Closest in time.
LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model
Zhi Zhou, Jiang-Xin Shi, Peng-Xiao Song, Xiao-Wen Yang, Yi-Xuan Jin, Lan-Zhe Guo, and Yu-Feng Li. 2024 · 2024
Closest in time.
Mingyu Zong and Bhaskar Krishnamachari. 2022 · 2025
Closest in time.
Towards Valid and Reusable Reference Alignments—Ten Basic Quality Checks for Ontology Alignments and Their Application to Three Different Reference Data Sets
Elena Beisswanger and Udo Hahn. 2012 · 2041
Closest in time.