Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems | Paper Citation Record

Observation afc72dae-ad15-4699-8cfd-7840846e2f95 · outbound

This paper cites Large language models hallucination: A comprehensive survey.Computer Science Review, 61:100970, 2026.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Large language models hallucination: A comprehensive survey.Computer Science Review, 61:100970, 2026

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This paper cites What is the semantic web? InSemantic Web for the Working Ontologist, pages 1–12.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems What is the semantic web? InSemantic Web for the Working Ontologist, pages 1–12

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This paper cites Concept2vec: Metrics for Evaluating Quality of Embeddings for Ontological Concepts.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Concept2vec: Metrics for Evaluating Quality of Embeddings for Ontological Concepts

Reference 3

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This paper cites Princeton Univ.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Princeton Univ

Reference 4

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This paper cites Princeton Univ.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Princeton Univ

Reference 5

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This paper cites Spear.Building Ontologies with Basic Formal Ontology.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Spear.Building Ontologies with Basic Formal Ontology

Reference 6

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This paper cites Dutoi, Peter J.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Dutoi, Peter J

Reference 7

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This paper cites Packt Publishing, Birmingham, England; Mumbai, 2021.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Packt Publishing, Birmingham, England; Mumbai, 2021

Reference 8

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This paper cites O’Reilly Media, Sebastopol, CA, 2023.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems O’Reilly Media, Sebastopol, CA, 2023

Reference 9

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This paper cites Osborne, Robert Salzmann, Daniel Scheiermann, and Ramona Wolf.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Osborne, Robert Salzmann, Daniel Scheiermann, and Ramona Wolf

Reference 10

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Observation fba293bf-f8a3-4cf8-b60b-f0ddf1f805c0 · outbound

This paper cites Representation learn- ing: A review and new perspectives.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 35(8):1798–1828, 2013.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Representation learn- ing: A review and new perspectives.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 35(8):1798–1828, 2013

Reference 11

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Observation 2fdeea13-0bde-40d9-b395-cd5a5d9769d1 · outbound

This paper cites Relphormer: Relational graph transformer for knowledge graph representations.Neurocomputing, 566:127044, 2024.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Relphormer: Relational graph transformer for knowledge graph representations.Neurocomputing, 566:127044, 2024

Reference 12

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Observation 659cad7c-0471-4291-b9c3-02545f01c223 · outbound

This paper cites Enriching word vectors with subword information.Transactions of the Association for Computational Linguistics, 5:135–146, 2017.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Enriching word vectors with subword information.Transactions of the Association for Computational Linguistics, 5:135–146, 2017

Reference 13

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Observation fa5edb45-3961-4441-a13f-65e00685c8fc · outbound

This paper cites Owl2vec*: Embedding of owl ontologies.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Owl2vec*: Embedding of owl ontologies

Reference 14

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This paper cites Hitter: Hierarchical transformers for knowledge graph embed- dings.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Hitter: Hierarchical transformers for knowledge graph embed- dings

Reference 15

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This paper cites Quantum computers, quantum computing, and quan- tum thermodynamics.Frontiers in Quantum Science and Technology, 3:1422257, 2024.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Quantum computers, quantum computing, and quan- tum thermodynamics.Frontiers in Quantum Science and Technology, 3:1422257, 2024

Reference 16

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This paper cites Fuzzy ontologies: State of the art re- visited.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Fuzzy ontologies: State of the art re- visited

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This paper cites A systematic review on the use of ontologies in requirements engineering.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems A systematic review on the use of ontologies in requirements engineering

Reference 18

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Observation e43706bb-843f-46da-8f07-9ddc609ab1e4 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems From Local to Global: A Graph RAG Approach to Query-Focused Summarization

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Observation 26f0e960-8d8f-4b78-aa2f-a6c8ad04e7bc · outbound

This paper cites Ontological errors taxonomy: Inconsistency, incompleteness and redundancy.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Ontological errors taxonomy: Inconsistency, incompleteness and redundancy

Reference 20

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This paper cites University of Turin, 2005.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems University of Turin, 2005

Reference 21

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This paper cites Begriffsschrift, a formula language, modeled upon that of arithmetic, for pure thought (1879).

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Begriffsschrift, a formula language, modeled upon that of arithmetic, for pure thought (1879)

Reference 22

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This paper cites Srivastava, Harit Vishwakarma, Hima Karanam, and L.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Srivastava, Harit Vishwakarma, Hima Karanam, and L

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This paper cites Establishing a new link between fuzzy logic, neuro- science, and quantum mechanics through bayesian probability.Molecules, 26(19):5987, 2021.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Establishing a new link between fuzzy logic, neuro- science, and quantum mechanics through bayesian probability.Molecules, 26(19):5987, 2021

Reference 24

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This paper cites MIT Press, London, England, 2019.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems MIT Press, London, England, 2019

Reference 25

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This paper cites Long short-term memory.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Long short-term memory

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This paper cites Roberts, and Brandon M.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Roberts, and Brandon M

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This paper cites Recurrent neural networks.Scholarpedia, 2013.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Recurrent neural networks.Scholarpedia, 2013

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This paper cites node2vec: Scalable Feature Learning for Networks.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems node2vec: Scalable Feature Learning for Networks

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This paper cites Ontology (definition).

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Ontology (definition)

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This paper cites Long short-term memory.Neu- ral Computation, 9(8):1735–1780, 1997.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Long short-term memory.Neu- ral Computation, 9(8):1735–1780, 1997

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Logic and ontology

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This paper cites Ontology reasoning with deep neural networks.Journal of Artificial Intelligence Research, 68:503– 540, 2020.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Ontology reasoning with deep neural networks.Journal of Artificial Intelligence Research, 68:503– 540, 2020

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This paper cites Myklebust, Jiaoyan Chen, and Ernesto Jimenez-Ruiz.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Myklebust, Jiaoyan Chen, and Ernesto Jimenez-Ruiz

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Knowl- edge graph embedding via dynamic mapping matrix

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This paper cites A survey on statistical relational learning.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems A survey on statistical relational learning

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This paper cites Gemini 1.5 Pro 2M context window, code execution capabilities, and Gemma 2 are available today.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Gemini 1.5 Pro 2M context window, code execution capabilities, and Gemma 2 are available today

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Klir.Fuzzy Sets and Fuzzy Logic: Theory and Applications

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This paper cites Learning entity and relation embeddings for knowledge graph completion.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Learning entity and relation embeddings for knowledge graph completion

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This paper cites KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Mask and reason: Pre-training knowledge graph transformers for complex logical queries

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Ontologies vs

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Quantum Fuzzy Sets: Blending Fuzzy Set Theory and Quantum Computation

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This paper cites Medsker and Lakhmi C.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Medsker and Lakhmi C

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Mendel, Qilian Liang, and W

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Ontology completion with graph-based machine learning: A comprehensive evalua- tion.Machine Learning and Knowledge Extraction, 4(4):1107–1123, 2022

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This paper cites Efficient Estimation of Word Representations in Vector Space.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Efficient Estimation of Word Representations in Vector Space

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This paper cites Distributed Representations of Words and Phrases and their Compositionality.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Distributed Representations of Words and Phrases and their Compositionality

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Unresolved cited work

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This paper cites Love, Al´ an Aspuru-Guzik, and Jeremy L.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Love, Al´ an Aspuru-Guzik, and Jeremy L

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This paper cites Deep contextualized word representations.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Deep contextualized word representations

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This paper cites Fuzzy logic on quantum annealers.IEEE Transactions on Fuzzy Systems, 30(8):3389–3394, 2022.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Fuzzy logic on quantum annealers.IEEE Transactions on Fuzzy Systems, 30(8):3389–3394, 2022

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This paper cites Two dogmas of empiricism.The Philosophical Review, 60(1):20–43, 1951.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Two dogmas of empiricism.The Philosophical Review, 60(1):20–43, 1951

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This paper cites why should i trust you?.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems why should i trust you?

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Rdf2vec: Rdf graph embeddings for data mining

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Rumelhart, James L

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems On the relation between fuzzy and quantum logic

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems The quest for a quantum neural network.Quantum Information Processing, 13(11):2567– 2586, 2014

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Reference 63

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Clarendon Press, Oxford, England, 1987

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Onto2Vec: joint vector-based representation of biological entities and their ontology-based annotations

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Opa2vec: Com- bining formal and informal content of biomedical ontologies to improve similarity-based prediction.Bioinformatics, 35(12):2133–2140, 2019

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems A review on the long short-term memory model.Artificial Intelligence Review, 53(8):5929– 5955, 2020

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Metaphysics

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Attention Is All You Need

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Owl 2 web ontology language document overview (second edition), 2012

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems SimKGC: Simple con- trastive knowledge graph completion with pre-trained language models

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Unresolved cited work

Reference 72

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Knowledge graph embedding by translating on hyperplanes

Reference 73

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems KG-BERT: BERT for Knowledge Graph Completion

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Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Knowledge Graph Enhanced Large Language Model Editing

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This paper cites Understanding bag-of-words model: A statistical framework.International Journal of Machine Learning and Cybernetics, 1(1-4):43–52, 2010.

Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems Understanding bag-of-words model: A statistical framework.International Journal of Machine Learning and Cybernetics, 1(1-4):43–52, 2010

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