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This survey investigates the synergistic relationship between Large Language Models (LLMs) and Knowledge Graphs (KGs), which is crucial for advancing AI's capabilities in understanding, reasoning, and language processing.
Reformulating XPath queries and XSLT queries on XSLT views
Sven Groppe, Stefan Böttcher, Georg Birkenheuer, and André Höing. 2006b · 2005
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XPath Query Simplification with regard to the Elimination of Intersect and Except Operators. In Proceedings of the 22nd International Conference on Data Engineering Workshops (ICDEW), Atlanta, GA, USA
Sven Groppe, Stefan Böttcher, and Jinghua Groppe. 2006a · 2006
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Translating XPath Queries into SPARQL Queries. In On the Move to Meaningful Internet Systems 2007: OTM Workshops, OTM Confederated International Workshops and Posters, AWeSOMe, CAMS, OTM Academy Doctoral Consortium, MONET, OnToContent, ORM, PerSys, PPN, RDDS, SSWS, and SWWS, Vilamoura, Portugal
Matthias Droop, Markus Flarer, Jinghua Groppe, Sven Groppe, Volker Linnemann, Jakob Pinggera, Florian Santner, Michael Schier, Felix Schöpf, Hannes Staffler, and Stefan Zugal. 2007 · 2007
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Filtering unsatisfiable XPath queries
Jinghua Groppe and Sven Groppe. 2008 · 2007
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Embedding SPARQL into XQuery/XSLT. In Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), Fortaleza, Ceara, Brazil
Sven Groppe, Jinghua Groppe, Volker Linnemann, Dirk Kukulenz, Nils Hoeller, and Christoph Reinke. 2008 · 2008
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SWOBE - embedding the semantic web languages RDF, SPARQL and SPARUL into java for guaranteeing type safety, for checking the satisfiability of queries and for the determination of query result types. In Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), Honolulu, Hawaii, USA
Sven Groppe, Jana Neumann, and Volker Linnemann. 2009b · 2009
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Transforming XSLT stylesheets into XQuery expressions and vice versa
Sven Groppe, Jinghua Groppe, Niklas Klein, Ralf Bettentrupp, Stefan Böttcher, and Le Gruenwald. 2011 · 2010
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Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
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Learning entity and relation embeddings for knowledge graph completion. In Proceedings of the AAAI conference
Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, and Xuan Zhu. 2015 · 2015
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Complex embeddings for simple link prediction. In International conference on machine learning . PMLR
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard. 2016 · 2016
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Quality assessment for linked data: A survey
Amrapali Zaveri, Anisa Rula, Andrea Maurino, Ricardo Pietrobon, Jens Lehmann, and Soeren Auer. 2016 · 2016
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HotpotQA: A dataset for diverse, explainable multi-hop question answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W Cohen, Ruslan Salakhutdinov, and Christopher D Manning. 2018 · 2018
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The limits of machine intelligence
Henry Shevlin, Karina Vold, Matthew Crosby, and Marta Halina. 2019 · 2019
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KG-BERT: BERT for knowledge graph completion
Liang Yao, Chengsheng Mao, and Yuan Luo. 2019 · 2019
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KGPT: Knowledge-grounded pre-training for data-to-text generation
Wenhu Chen, Yu Su, Xifeng Yan, and William Yang Wang. 2020b · 2020
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A review: Knowledge reasoning over knowledge graph
Xiaojun Chen, Shengbin Jia, and Yang Xiang. 2020a · 2020
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Towards Knowledge Enhanced Language Model for Machine Reading Comprehension
Peizhu Gong, Jin Liu, Yihe Yang, and Huihua He. 2020 · 2020
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Few-shot named entity recognition: A comprehensive study
Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, and Jiawei Han. 2020 · 2020
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Leveraging Concept-Enhanced Pre-Training Model and Masked-Entity Language Model for Named Entity Disambiguation
Zizheng Ji, Lin Dai, Jin Pang, and Tingting Shen. 2020 · 2020
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Multi-task learning for knowledge graph completion with pre-trained language models. In Proceedings of the COLING
Bosung Kim, Taesuk Hong, Youngjoong Ko, and Jungyun Seo. 2020 · 2020
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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension . In Proceedings of ACL 2020 . Online
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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K-bert: Enabling language representation with knowledge graph. In Proceedings of the AAAI Conference
Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, and Ping Wang. 2020 · 2020
Earlier work this paper cites.
Investigating pretrained language models for graph-to-text generation
Leonardo FR Ribeiro, Martin Schmitt, Hinrich Schütze, and Iryna Gurevych. 2020 · 2020
Earlier work this paper cites.
Question generation using knowledge graphs with the T5 language model and masked self-attention. In GCCE . IEEE
Kosuke Aigo, Takashi Tsunakawa, Masafumi Nishida, and Masafumi Nishimura. 2021 · 2021
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Contextual Language Models for Knowledge Graph Completion. In MLSMKG@PKDD/ECML
Russa Biswas, Radina Sofronova, Mehwish Alam, and Harald Sack. 2021 · 2021
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REBEL: Relation Extraction By End-to-end Language generation. In EMNLP 2021
Pere-Lluís Huguet Cabot and Roberto Navigli. 2021 · 2021
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Jointgt: Graph-text joint representation learning for text generation from knowledge graphs
Pei Ke, Haozhe Ji, Yu Ran, Xin Cui, Liwei Wang, Linfeng Song, Xiaoyan Zhu, and Minlie Huang. 2021 · 2021
Earlier work this paper cites.
A survey on complex knowledge base question answering: Methods, challenges and solutions
Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, and Ji-Rong Wen. 2021 · 2021
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Few-shot knowledge graph-to-text generation with pretrained language models
Junyi Li, Tianyi Tang, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, and Ji-Rong Wen. 2021 · 2021
Earlier work this paper cites.
Knowledge graph quality control: A survey
Xiangyu Wang, Lyuzhou Chen, Taiyu Ban, Muhammad Usman, Yifeng Guan, Shikang Liu, Tianhao Wu, and Huanhuan Chen. 2021a · 2021
Cited alongside, same era.
Enabling language representation with knowledge graph and structured semantic information. In CCAI . IEEE
Wenwen Xu, Mingzhe Fang, Li Yang, Huaxi Jiang, Geng Liang, and Chun Zuo. 2021 · 2021
Cited alongside, same era.
Knowledge is flat: A seq2seq generative framework for various knowledge graph completion
Chen Chen, Yufei Wang, Bing Li, and Kwok-Yan Lam. 2022 · 2022
Cited alongside, same era.
GAP: A graph-aware language model framework for knowledge graph-to-text generation
Anthony Colas, Mehrdad Alvandipour, and Daisy Zhe Wang. 2022 · 2022
Cited alongside, same era.
Locating and Editing Factual Associations in GPT. In Advances in Neural Information Processing Systems 35
Kevin Meng, David Bau, Alex Andonian, and Yonatan Belinkov. 2022 · 2022
A survey of knowledge enhanced pre-trained language models
Linmei Hu, Zeyi Liu, Ziwang Zhao, Lei Hou, Liqiang Nie, and Juanzi Li. 2023 · 2023
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Hanieh Khorashadizadeh, Nandana Mihindukulasooriya, Sanju Tiwari, Jinghua Groppe, and Sven Groppe. 2023 · 2023
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Kg-gpt: A general framework for reasoning on knowledge graphs using large language models
Jiho Kim, Yeonsu Kwon, Yohan Jo, and Edward Choi. 2023 · 2023
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Large Language Models are Zero-Shot Reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2023 · 2023
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Text-to-Ontology Mapping via Natural Language Processing with Application to Search for Relevant Ontologies in Catalysis
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Cited alongside, same era.
Training language models to follow instructions with human feedback, 2022
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
Cited alongside, same era.
SGPT: a generative approach for SPARQL query generation from natural language questions
Md Rashad Al Hasan Rony, Uttam Kumar, Roman Teucher, Liubov Kovriguina, and Jens Lehmann. 2022 · 2022
Cited alongside, same era.
SimKGC: Simple contrastive knowledge graph completion with pre-trained language models
Liang Wang, Wei Zhao, Zhuoyu Wei, and Jingming Liu. 2022 · 2022
Cited alongside, same era.
From discrimination to generation: Knowledge graph completion with generative transformer. In Companion Proceedings of the Web Conference
Xin Xie, Ningyu Zhang, Zhoubo Li, Shumin Deng, Hui Chen, Feiyu Xiong, Mosha Chen, and Huajun Chen. 2022 · 2022
Cited alongside, same era.
Dict-BERT: Enhancing Language Model Pre-training with Dictionary . In ACL
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, and Meng Jiang. 2022 · 2022
Cited alongside, same era.
Towards Semantically Enriched Embeddings for Knowledge Graph Completion
Mehwish Alam, Frank van Harmelen, and Maribel Acosta. 2023 · 2023
Cited alongside, same era.
PromptNER: Prompting For Named Entity Recognition
Dhananjay Ashok and Zachary C Lipton. 2023 · 2023
Cited alongside, same era.
Lukáš Korel, Uladzislau Yorsh, Alexander S Behr, Norbert Kockmann, and Martin Holeňa. 2023 · 2023
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SPARQLGEN: One-Shot Prompt-based Approach for SPARQL Query Generation
Liubov Kovriguina, Roman Teucher, Daniil Radyush, and Dmitry Mouromtsev. 2023 · 2023
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Multi-Hop Question Generation with Knowledge Graph-Enhanced Language Model
Zhenping Li, Zhen Cao, Pengfei Li, Yong Zhong, and Shaobo Li. 2023a · 2023
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Enhancing Entity Alignment Between Wikidata and ArtGraph using LLMs. In SWODCH@ISWC
Anna Sofia Lippolis, Antonis Klironomos, Daniela F Milon-Flores, Heng Zheng, Alexane Jouglar, Ebrahim Norouzi, and Aidan Hogan. 2023 · 2023
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ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning
Linhao Luo, Jiaxin Ju, Bo Xiong, Yuan-Fang Li, Gholamreza Haffari, and Shirui Pan. 2023a · 2023
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Reasoning on graphs: Faithful and interpretable large language model reasoning
Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, and Shirui Pan. 2023b · 2023
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Ontologies in the era of large language models–a perspective
Fabian Neuhaus. 2023 · 2023
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Reham Omar, Omij Mangukiya, Panos Kalnis, and Essam Mansour. 2023 · 2023
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Large language models and knowledge graphs: Opportunities and challenges
Jeff Z Pan, Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jiaoyan Chen, Stefan Dietze, Hajira Jabeen, Janna Omeliyanenko, Wen Zhang, Matteo Lissandrini, et al · 2023
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Improving Subgraph Extraction Algorithms for One-Shot SPARQL Query Generation with Large Language Models
Dmitrii Pliukhin, Daniil Radyush, Liubov Kovriguina, and Dmitry Mouromtsev. 2023 · 2023
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Querying Large Language Models with SQL
Mohammed Saeed, Nicola De Cao, and Paolo Papotti. 2023 · 2023
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OLAF: An Ontology Learning Applied Framework
Marion Schaeffer, Matthias Sesboüé, Jean-Philippe Kotowicz, Nicolas Delestre, and Cecilia Zanni-Merk. 2023 · 2023
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Knowledge graph-augmented language models for complex question answering
Priyanka Sen, Sandeep Mavadia, and Amir Saffari. 2023 · 2023
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Extending an Event-type Ontology: Adding Verbs and Classes Using Fine-tuned LLMs Suggestions
Jana Straková, Eva Fučíková, Jan Hajič, and Zdeňka Urešová. 2023 · 2023
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Revisiting Relation Extraction in the era of Large Language Models
Somin Wadhwa, Silvio Amir, and Byron C. Wallace. 2023 · 2023
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GPT-RE: In-context Learning for Relation Extraction using Large Language Models
Zhen Wan, Fei Cheng, Zhuoyuan Mao, Qianying Liu, Haiyue Song, Jiwei Li, and Sadao Kurohashi. 2023 · 2023
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Knowledgpt: Enhancing large language models with retrieval and storage access on knowledge bases
Xintao Wang, Qianwen Yang, Yongting Qiu, Jiaqing Liang, Qianyu He, Zhouhong Gu, Yanghua Xiao, and Wei Wang. 2023b · 2023
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How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?
Xin Xu, Yuqi Zhu, Xiaohan Wang, and Ningyu Zhang. 2023 · 2023
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Zero-shot Temporal Relation Extraction with ChatGPT
Chenhan Yuan, Qianqian Xie, and Sophia Ananiadou. 2023 · 2023
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Universalner: Targeted distillation from large language models for open named entity recognition
Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, and Hoifung Poon. 2023 · 2023
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From local to global: A graph rag approach to query-focused summarization
Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, and Jonathan Larson. 2024 · 2024
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Towards Generating High-Quality Knowledge Graphs by Leveraging Large Language Models. In The 29th Annual International Conference on Natural Language & Information Systems (NLDB 2024), Turin, Italy
Morteza Kamaladdini Ezzabady, Frédéric Ieng, Hanieh Khorashadizadeh, Farah Benamara, Sven Groppe, and Soror Sahri. 2024 · 2024
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Unifying large language models and knowledge graphs: A roadmap
Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, and Xindong Wu. 2024 · 2024
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Linyao Yang, Hongyang Chen, Zhao Li, Xiao Ding, and Xindong Wu. 2024 · 2024
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