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A Web-scale system for scientific knowledge exploration

arXiv 1805.12216 ↗First posted 30 May 2018cs.CL cs.DLcited by 39

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Abstract (arXiv)

To enable efficient exploration of Web-scale scientific knowledge, it is necessary to organize scientific publications into a hierarchical concept structure. In this work, we present a large-scale system to (1) identify hundreds of thousands of scientific concepts, (2) tag these identified concepts to hundreds of millions of scientific publications by leveraging both text and graph structure, and (3) build a six-level concept hierarchy with a subsumption-based model. The system builds the most comprehensive cross-domain scientific concept ontology published to date, with more than 200 thousand concepts and over one million relationships.

Key facts. Cited by 39 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 May 2018.

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Citing papers per year: 2021: 6; 2022: 5; 2023: 9; 2024: 11; 2025: 5; 2026: 3.

39 papers.

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  1. 2023Paloma: A Benchmark for Evaluating Language Model Fitcited by 54
  2. 2023mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Modelcited by 32
  3. 2021MATCH: Metadata-Aware Text Classification in A Large Hierarchycited by 20
  4. 2021OAG-BERT: Towards A Unified Backbone Language Model For Academic Knowledge Servicescited by 20
  5. 2023The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Studycited by 17
  6. 2023Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understandingcited by 16
  7. 2022CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervisioncited by 15
  8. 2024Taxonomy-guided Semantic Indexing for Academic Paper Searchcited by 12
  9. 2023Chain-of-Factors Paper-Reviewer Matchingcited by 11
  10. 2024Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomycited by 11
  11. 2024Taxonomy Tree Generation from Citation Graphcited by 11
  12. 2022Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classificationcited by 10
27 more
  1. 2024Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Fieldcited by 10
  2. 2022Automatic Related Work Generation: A Meta Studycited by 8
  3. 2024A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansioncited by 8
  4. 2023Exploring the Landscape of Natural Language Processing Researchcited by 7
  5. 2025Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generationcited by 7
  6. 2021Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansioncited by 6
  7. 2021UIUC_BioNLP at SemEval-2021 Task 11: A Cascade of Neural Models for Structuring Scholarly NLP Contributionscited by 5
  8. 2023Weakly Supervised Multi-Label Classification of Full-Text Scientific Paperscited by 4
  9. 2024AI on AI: Exploring the Utility of GPT as an Expert Annotator of AI Publicationscited by 4
  10. 2021Improving Editorial Workflow and Metadata Quality at Springer Naturecited by 3
  11. 2024Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classescited by 3
  12. 2025Topic Coverage-based Demonstration Retrieval for In-Context Learningcited by 3
  13. 2022SciNoBo : A Hierarchical Multi-Label Classifier of Scientific Publicationscited by 2
  14. 2024NLP-KG: A System for Exploratory Search of Scientific Literature in Natural Language Processingcited by 2
  15. 2025Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Studycited by 2
  16. 2026SciImpact: A Multi-Dimensional, Multi-Field Benchmark for Scientific Impact Predictioncited by 2
  17. 2021Deep forecasting of translational impact in medical researchcited by 1
  18. 2023Hierarchical Classification of Research Fields in the "Web of Science" Using Deep Learningcited by 1
  19. 2022Learning to Rank with Small Set of Ground Truth Datacited by 0
  20. 2023SAINE: Scientific Annotation and Inference Engine of Scientific Researchcited by 0
  21. 2024Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processingcited by 0
  22. 2024Responsible AI: Portraits with Intelligent Bibliometricscited by 0
  23. 2024An Instance-based Plus Ensemble Learning Method for Classification of Scientific Paperscited by 0
  24. 2025A Socratic RAG Approach to Connect Natural Language Queries on Research Topics with Knowledge Organization Systemscited by 0
  25. 2025A Causal Inference Approach for Quantifying Research Impactcited by 0
  26. 2026Improving Scientific Document Retrieval with Academic Concept Indexcited by 0
  27. 2026SciZoom: A Large-scale Benchmark for Hierarchical Scientific Summarization across the LLM Eracited by 0