nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems

Summary: nsDB proposes a native neuro-symbolic DB integrating neural models with symbolic data management for multimodal analytics, learning, and complex queries. It frames open systems challenges including in-database training, multi-objective optimization, and database agents. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: h6d77a2da0a138870
Venue: VLDB
Year: 2024
Pagerank: 5.2433452e-05
Overall Rank: 8,984 | 39.60%
DOI: 10.14778/3681954.3682000

Incoming Non-self Citations Over Time

Authors

1. Ye Yuan (Beijing Institute of Technology)
2. Bo Tang (Southern University of Science and Technology)
3. Tianfei Zhou (Beijing Institute of Technology)
4. Zhiwei Zhang (Beijing Institute of Technology)
5. Jianbin Qin (Shenzhen University)

BibTeX Citation

@article{yuan_vldb24,
        title = {{nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems}},
        author = {Yuan, Ye and Tang, Bo and Zhou, Tianfei and Zhang, Zhiwei and Qin, Jianbin},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {11},
        pages = {3283--3289},
        doi = {10.14778/3681954.3682000},
        url = {https://doi.org/10.14778/3681954.3682000},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,385	NeurDB: On the Design and Implementation of an AI-powered Autonomous Database	2025	CIDR	5.3420959e-05
10,346	KathDB: Explainable Multimodal Database Management System with Human-AI Collaboration	2026	CIDR	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 20 of 20 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
33	Consistent Query Answers in Inconsistent Databases	1999	PODS	0.00049349003
104	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00033690989
1,392	Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes	2023	CIDR	0.00010807936
2,182	Extending Relational Query Processing with ML Inference	2020	CIDR	8.8982998e-05
2,400	Declarative Recursive Computation on an RDBMS or, Why You Should Use a Database For Distributed Machine Learning	2019	VLDB	8.5213814e-05
2,662	End-to-end Optimization of Machine Learning Prediction Queries	2022	SIGMOD	8.1596229e-05
3,773	Hardware-conscious Query Processing in GPU-accelerated Analytical Engines	2019	CIDR	7.0294475e-05
3,861	GaccO - A GPU-accelerated OLTP DBMS	2022	SIGMOD	6.9656048e-05
3,985	Designing an Open Framework for Query Optimization and Compilation	2022	VLDB	6.8730085e-05
4,287	VIVA: An End-to-End System for Interactive Video Analytics	2022	CIDR	6.6869736e-05
5,172	CGgraph: An Ultra-fast Graph Processing System on Modern Commodity CPU-GPU Co-processor	2024	VLDB	6.2439642e-05
5,289	Tensor Relational Algebra for Distributed Machine Learning System Design	2021	VLDB	6.1940481e-05
5,776	The Tensor Data Platform: Towards an AI-centric Database System	2023	CIDR	5.9981216e-05
6,660	Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation	2023	SIGMOD	5.7178404e-05
6,998	Integration of Data Mining and Relational Databases	2000	VLDB	5.6253155e-05
7,872	Rock: Cleaning Data by Embedding ML in Logic Rules	2024	SIGMOD	5.4362062e-05
8,948	Tao: Improving Resource Utilization while Guaranteeing SLO in Multi-tenant Relational Database-as-a-Service	2024	SIGMOD	5.252939e-05
9,827	AMNES: Accelerating the computation of data correlation using FPGAs	2023	VLDB	5.1249969e-05
9,828	Transforming ML Predictive Pipelines into SQL with MASQ	2021	SIGMOD	5.1249969e-05
10,107	TVM: A Tile-based Video Management Framework	2024	VLDB	5.0789354e-05

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