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title: "Knowledge graphs & ontologies — papers, page 2"
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# 🕸️ Knowledge graphs & ontologies

87 papers · page 2 of 2 · 26–87 · the most cited first · [all topics](https://md.research.elamur.ai/free/en/topics/)

Facts as linked graphs: knowledge bases, ontologies and the semantic web.

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26. [**COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs**Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al.*2020 · 235 citations*](https://md.research.elamur.ai/free/en/papers/hwang-2020-comet-atomic-2020-symbolic-neural/)
27. [**YAGO3: A Knowledge Base from Multilingual Wikipedias**Farzaneh Mahdisoltani, Joanna Biega, Fabian M. Suchanek*2015 · 235 citations*](https://md.research.elamur.ai/free/en/papers/mahdisoltani-2015-yago3-knowledge-base-multilingual-wikipedias/)
28. [**Breaking Through the 80% Glass Ceiling: Raising the State of the Art in Word Sense Disambiguation by Incorporating Knowledge Graph Information**Michele Bevilacqua, Roberto Navigli*2020 · 232 citations*](https://md.research.elamur.ai/free/en/papers/bevilacqua-2020-breaking-through-80-glass-ceiling/)
29. [**Commonsense Knowledge Base Completion**Xiang Li, Aynaz Taheri, Lifu Tu, et al.*2016 · 232 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-commonsense-knowledge-base-completion/)
30. [**Observed versus latent features for knowledge base and text inference**Kristina Toutanova, Danqi Chen*2015 · 210 citations*](https://md.research.elamur.ai/free/en/papers/toutanova-2015-observed-versus-latent-features-knowledge/)
31. [**Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base**Wen-tau Yih, Ming-Wei Chang, Xiaodong He, et al.*2015 · 203 citations*](https://md.research.elamur.ai/free/en/papers/yih-2015-semantic-parsing-staged-query-graph/)
32. [**Time-Aware Language Models as Temporal Knowledge Bases**Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, et al.*2022 · 194 citations*](https://md.research.elamur.ai/free/en/papers/dhingra-2022-time-aware-language-models-as/)
33. [**Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs**Houyu Zhang, Zhenghao Liu, Chenyan Xiong, et al.*2020 · 181 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-grounded-conversation-generation-as-guided/)
34. [**T-REx: A Large Scale Alignment of Natural Language with Knowledge Base Triples**Hady Elsahar, Pavlos Vougiouklis, Arslen Remaci, et al.*2018 · 177 citations*](https://md.research.elamur.ai/free/en/papers/elsahar-2018-t-rex-large-scale-alignment/)
35. [**DBpedia: A Multilingual Cross-domain Knowledge Base**Pablo Mendes, Max Jakob, Christian Bizer*2012 · 177 citations*](https://md.research.elamur.ai/free/en/papers/mendes-2012-dbpedia-multilingual-cross-domain-knowledge/)
36. [**Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph**Rui Liu, Zheng Lin, Yutong Tan, et al.*2021 · 134 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-enhancing-zero-shot-few-shot/)
37. [**Scaling Semantic Parsers with On-the-Fly Ontology Matching**Tom Kwiatkowski, Eunsol Choi, Yoav Artzi, et al.*2013 · 134 citations*](https://md.research.elamur.ai/free/en/papers/kwiatkowski-2013-scaling-semantic-parsers-fly-ontology/)
38. [**Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering**Jinheon Baek, Alham Fikri Aji, Amir Saffari*2023 · 118 citations*](https://md.research.elamur.ai/free/en/papers/baek-2023-knowledge-augmented-language-model-prompting/)
39. [**Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting**Chen Chen, Yufei Wang, Aixin Sun, et al.*2023 · 75 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-dipping-plms-sauce-bridging-structure/)
40. [**The Arabic Ontology — An Arabic Wordnet with Ontologically Clean Content**Mustafa Jarrar*2022 · 61 citations*](https://md.research.elamur.ai/free/en/papers/jarrar-2022-arabic-ontology-arabic-wordnet-ontologically/)
41. [**Compositional Vector Space Models for Knowledge Base Completion**Arvind Neelakantan, Benjamin Roth, Andrew McCallum*2015 · 51 citations*](https://md.research.elamur.ai/free/en/papers/neelakantan-2015-compositional-vector-space-models-knowledge/)
42. [**Dbnary: Wiktionary as a LMF based Multilingual RDF network**Gilles Sérasset*2012 · 49 citations*](https://md.research.elamur.ai/free/en/papers/serasset-2012-dbnary-wiktionary-as-lmf-based/)
43. [**OG-RAG: Ontology-grounded retrieval-augmented generation for large language models**Kartik Sharma, Peeyush Kumar, Yunqing Li*2025 · 37 citations*](https://md.research.elamur.ai/free/en/papers/sharma-2025-og-rag-ontology-grounded-retrieval/)
44. [**Ontology-Aware Token Embeddings for Prepositional Phrase Attachment**Pradeep Dasigi, Waleed Ammar, Chris Dyer, et al.*2017 · 35 citations*](https://md.research.elamur.ai/free/en/papers/dasigi-2017-ontology-aware-token-embeddings-prepositional/)
45. [**Approximating an Interlingua in a Principled Way**Eduard Hovy, Sergei Nirenburg*1992 · 31 citations*](https://md.research.elamur.ai/free/en/papers/hovy-1992-approximating-interlingua-principled-way/)
46. [**SemLink+: FrameNet, VerbNet and Event Ontologies**Martha Palmer, Claire Bonial, Diana McCarthy*2014 · 24 citations*](https://md.research.elamur.ai/free/en/papers/palmer-2014-semlink-framenet-verbnet-event-ontologies/)
47. [**Linked Data Quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO**Michael Färber, Frederic Bartscherer, Carsten Menne, et al.*2018 · 16 citations*](https://md.research.elamur.ai/free/en/papers/farber-2018-linked-data-quality-dbpedia-freebase/)
48. [**Al –-Khalil : The Arabic Linguistic Ontology Project**Hassina Aliane, Zaia Alimazighi, Ahmed Cherif Mazari*2010 · 16 citations*](https://md.research.elamur.ai/free/en/papers/aliane-2010-al-khalil-arabic-linguistic-ontology/)
49. [**The Merged Upper Model: A Linguistic Ontology for German and English**Renate Henschel, John Bateman*1994 · 16 citations*](https://md.research.elamur.ai/free/en/papers/henschel-1994-merged-upper-model-linguistic-ontology/)
50. [**Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering**Runxuan Liu, Bei Luo, Jiaqi Li, et al.*2025 · 15 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-ontology-guided-reverse-thinking-makes/)
51. [**Creating Linked Data Morphological Language Resources with MMoOn - The Hebrew Morpheme Inventory**Bettina Klimek, Natanael Arndt, Sebastian Krause, et al.*2016 · 15 citations*](https://md.research.elamur.ai/free/en/papers/klimek-2016-creating-linked-data-morphological-language/)
52. [**Integrating Transformers and Knowledge Graphs for Twitter Stance Detection**Thomas Clark, Costanza Conforti, Fangyu Liu, et al.*2021 · 14 citations*](https://md.research.elamur.ai/free/en/papers/clark-2021-integrating-transformers-knowledge-graphs-twitter/)
53. [**Towards Ontology Construction with Language Models**Maurice Funk, Simon Hosemann, Jean Christoph Jung, et al.*2023 · 12 citations*](https://md.research.elamur.ai/free/en/papers/funk-2023-towards-ontology-construction-language-models/)
54. [**IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions**Ziheng Zeng, Kellen Tan Cheng, Srihari Venkat Nanniyur, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2023-iekg-commonsense-knowledge-graph-idiomatic/)
55. [**The Index Thomisticus Treebank as Linked Data in the LiLa Knowledge Base**Francesco Mambrini, Marco Passarotti, Giovanni Moretti, et al.*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/mambrini-2022-index-thomisticus-treebank-as-linked/)
56. [**A Tree Extension for CoNLL-RDF**Christian Chiarcos, Luis Glaser*2020 · 8 citations*](https://md.research.elamur.ai/free/en/papers/chiarcos-2020-tree-extension-conll-rdf/)
57. [**Challenges for the Representation of Morphology in Ontology Lexicons**Bettina Klimek, John P. McCrae, Julia Bosque-Gil, et al.*2019 · 7 citations*](https://md.research.elamur.ai/free/en/papers/klimek-2019-ontolex-morphology/)
58. [**Reifying RDF: What Works Well With Wikidata?**Daniel Hernández, Aidan Hogan, Markus Krötzsch*2015 · 7 citations*](https://md.research.elamur.ai/free/en/papers/hernandez-2015-reifying-rdf-what-works-well/)
59. [**The DARPA Wikidata Overlay: Wikidata as an ontology for natural language processing**Elizabeth Spaulding, Kathryn Conger, Anatole Gershman, et al.*2023 · 6 citations*](https://md.research.elamur.ai/free/en/papers/spaulding-2023-darpa-wikidata-overlay-wikidata-as/)
60. [**Developing an Arabic Infectious Disease Ontology to Include Non-Standard Terminology**Lama Alsudias, Paul Rayson*2020 · 5 citations*](https://md.research.elamur.ai/free/en/papers/alsudias-2020-developing-arabic-infectious-disease-ontology/)
61. [**Large Language Models as Oracles for Ontology Alignment**Sviatoslav Lushnei, Dmytro Shumskyi, Severyn Shykula, et al.*2026 · 4 citations*](https://md.research.elamur.ai/free/en/papers/lushnei-2026-large-language-models-as-oracles/)
62. [**Azhary: An Arabic Lexical Ontology**Hossam Ishkewy, Hany Harb, Hassan Farahat*2014 · 4 citations*](https://md.research.elamur.ai/free/en/papers/ishkewy-2014-azhary-arabic-lexical-ontology/)
63. [**Automatic Suggestions Help Extending Eventive Ontology: A Case Study on SynSemClass**Jana Straková, Eva Fučíková, Zdenka Uresova, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/strakova-2026-automatic-suggestions-help-extending-eventive/)
64. [**GIL-Zaragoza at SemEval 2026 Task 11: Comparing Classification, Autoformalization, and Ontologies for Formal Reasoning Capabilities**Francisco Lopez-Ponce, Lucia Pitarch, Iván Saavedra Martínez, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ponce-2026-gil-zaragoza-semeval-2026-task/)
65. [**Cross-Lingual Mental Health Ontologies for Indian Languages: Bridging Patient Expression and Clinical Understanding through Explainable AI and Human-in-the-Loop Validation**Ananth Kandala, Ratna Kandala, Akshata Kishore Moharir, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/kandala-2025-cross-lingual-mental-health-ontologies/)
66. [**pyrealb at the GEM'24 Data-to-text Task: Symbolic English Text Generation from RDF Triples**Guy Lapalme*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/lapalme-2024-pyrealb-gem-24-data-text/)
67. [**QA-KGNet: Language Model-driven Knowledge Graph Question-answering Model (QA-KGNet: 一种语言模型驱动的知识图谱问答模型)**Shaojie Qiao (乔少杰), Guoping Yang (杨国平), Yong Yu (于泳), et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/qiao-2023-qa-kgnet-language/)
68. [**The Circumstantial Event Ontology (CEO) and ECB+/CEO: an Ontology and Corpus for Implicit Causal Relations between Events**Roxane Segers, Tommaso Caselli, Piek Vossen*2018 · 1 citation*](https://md.research.elamur.ai/free/en/papers/segers-2018-circumstantial-event-ontology-ceo-ecb/)
69. [**How to construct a multi-lingual domain ontology**Nitsan Chrizman, Alon Itai*2014 · 1 citation*](https://md.research.elamur.ai/free/en/papers/chrizman-2014-how-construct-multi-lingual-domain/)
70. [**A Linguistic Ontology for Constructicography: The Research Constructicon and its Ontology Modules**Elodie Winckel, Peter Uhrig, Stephanie Evert*2026*](https://md.research.elamur.ai/free/en/papers/winckel-2026-linguistic-ontology-constructicography-research-constructicon/)
71. [**A Scalable Pipeline for Novelty Detection in Skill Extraction Using Large Language Models**Gian Seifert, Simon Clematide*2026*](https://md.research.elamur.ai/free/en/papers/seifert-2026-scalable-pipeline-novelty-detection-skill/)
72. [**Bridging the Gap between Ontologies and Dictionaries: Requirements and Implementation of a New Core for OntoLex-Lemon**John P. McCrae, Jorge Gracia, Fahad Khan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mccrae-2026-ontolex-new-core/)
73. [**Formalizing the DATASUS RTS: An Ontological Model for a Resource Description Framework Knowledge Graph**Vitor Pires, Dalvan Griebler, Felipe Meneguzzi*2026*](https://md.research.elamur.ai/free/en/papers/pires-2026-formalizing-datasus-rts-ontological-model/)
74. [**From Graph to Text and Back: Semantic Fidelity in Automated Industrial Knowledge Graphs**Kamyar Zeinalipour, Silvia Severini, Alessia Borghini, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zeinalipour-2026-graph-text-back-semantic-fidelity/)
75. [**Integrating TEI, NER/NEL, Textometry, and Linked Data for a Semantically Enriched Interview Corpus**Ranka Stankovic, Tamara Vučenović, Biljana Rujević, et al.*2026*](https://md.research.elamur.ai/free/en/papers/stankovic-2026-integrating-tei-ner-nel-textometry/)
76. [**Leveraging Decoupled Composition in Large Language Models for Knowledge Base Question Answering (基于解耦与组合的大模型知识问答方法)**Shengze Shi (施圣泽), Li Qin (秦利), Jun Hu (胡军), et al.*2026*](https://md.research.elamur.ai/free/en/papers/shi-2026-leveraging-decoupled-composition/)
77. [**Link Prediction over N-ary Knowledge Graphs: A Survey (多元知识图谱链接预测研究综述)**Jiyao Wei (隗继耀), Saiping Guan (官赛萍), Xiaolong Jin (靳小龙), et al.*2026*](https://md.research.elamur.ai/free/en/papers/wei-2026-link-prediction-over/)
78. [**Ontology-Graph Dual-Agent Reinforcement Learning Method for Temporal Knowledge Graph Reasoning (面向时序知识图谱推理的本体-图谱双智能体强化学习方法)**Yuehang Si (司悦航), Zefan Zeng (曾泽凡), Boyan Wang (王博岩), et al.*2026*](https://md.research.elamur.ai/free/en/papers/si-2026-ontology-graph-dual/)
79. [**PolyglotQL: A Pipeline for Multilingual Text-to-SPARQL Dataset Generation**Julio Perez, Fabio Barth, Georg Rehm*2026*](https://md.research.elamur.ai/free/en/papers/perez-2026-polyglotql-pipeline-multilingual-text-sparql/)
80. [**Towards Corpus-Based Population and Visualization of ISO 24617-8 Ontology (Short Paper)**Maciej Ogrodniczuk, Dariusz Czerski*2026*](https://md.research.elamur.ai/free/en/papers/ogrodniczuk-2026-corpus-based-population-visualization-iso/)
81. [**Proceedings of Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning @ COLING 2025***2025*](https://md.research.elamur.ai/free/en/papers/anon-2025-proceedings-bridging-neurons-symbols-natural/)
82. [**A Pre-trained Universal Knowledge Graph Reasoning Model Based on Rule Prompts (基于规则提示的知识图谱通用推理预训练模型)**Yuanning Cui (崔员宁), Zequn Sun (孙泽群), Wei Hu (胡伟)*2024*](https://md.research.elamur.ai/free/en/papers/cui-2024-pre-trained-universal/)
83. [**Method for Expanding Event Commonsense Knowledge Graph Based on Large Language Models (基于大语言模型的事件常识知识图谱扩展方法)**Qiaojuan Huang (黄俏娟), Cungen Cao (曹存根), Ya Wang (王亚), et al.*2024*](https://md.research.elamur.ai/free/en/papers/huang-2024-method-expanding-event/)
84. [**Research Progress and Trend of Temporal Knowledge Graph Representation and Reasoning (时序知识图谱表示与推理的研究进展与趋势)**Yuhan Wang (王俞涵), Ziyang Chen (陈子阳), Xiang Zhao (赵翔), et al.*2024*](https://md.research.elamur.ai/free/en/papers/wang-2024-trend-temporal-knowledge/)
85. [**Temporal Knowledge Graph Forecasting with Story-Inspired Large Language Models (故事启发大语言模型的时序知识图谱预测)**Juan Chen (陈娟), Xinchao Zhao (赵新潮), Jingyan Sui (隋京言), et al.*2024*](https://md.research.elamur.ai/free/en/papers/chen-2024-temporal-knowledge-graph/)
86. [**Survey on Representation Learning Methods of Knowledge Graph for Link Prediction (面向链接预测的知识图谱表示学习方法综述)**Xueying Du (杜雪盈), Mingwei Liu (刘名威), Liwei Shen (沈立炜), et al.*2023*](https://md.research.elamur.ai/free/en/papers/du-2023-representation-learning-methods/)
87. [**Overview on Knowledge Graph Embedding Technology Research (知识图谱嵌入技术研究综述)**Tiancheng Zhang (张天成), Xue Tian (田雪), Xianghui Sun (孙相会), et al.*2021*](https://md.research.elamur.ai/free/en/papers/zhang-2021-overview-knowledge-graph/)

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