Database and Expert Systems Applications

37th International Conference, DEXA 2026, Graz, Austria, August 11–13, 2026, Proceedings, Part I
Erscheinungsjahr 2026
ISBN: 978-3-032-34373-4
Verlag: Springer

Buch, Englisch, 386 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Computer Science

The two-volume set LNCS constitutes the proceedings of the 37th International Conference on Database and Expert Systems Applications, DEXA 2026, held in Graz, Austria, in August 11–13, 2026.

The 34 full and 20 short papers presented in this set together with 2 invited papers were carefully reviewed and selected from 123 submissions. They were organized in topical sections as follows:

Part I: Knowledge Graphs and Graph Intelligence; Graph Data Management and Processing; Recommendation, Search and Information Retrieval; Large Language Models and Multi-Agent Systems; Data Governance, Quality and Integration; Database Systems and Query Processing.

Part II: Storage Systems and Data Infrastructure; Machine Learning Foundations and Data Generation; Temporal Data Analytics and Forecasting; AI for IoT and Cybersecurity; Neural Networks and Applied AI; Systems, Security and Emerging Applications.

Zielgruppe

Research

Autoren/Hrsg.

Wrembel, Robert

Kotsis, Gabriele

Tjoa, A Min

Khalil, Ismail

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Information Retrieval
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse

Inhaltsverzeichnis

.- Invited Paper.

.- Anti-Phishing in the Era of Deepfakes.

.- Knowledge Graphs and Graph Intelligence.

.- Adaptive Structural Modality Enhancement in Score Calculation for Knowledge 
Graph Completion.

.- Knowledge Graph Adapter-Based Augmentation Testbed for Large Language 
Models.

.- Evidence-Supported Credit Risk Report Generation Using News-Centric Financial 
Knowledge Graph.

.- Fair Link Prediction in Social Network with Intersectional Sensitive Attributes.

.- Graph Data Management and Processing. 

.- Evaluation of Subgraph Querying from Databases for Mini-Batch Training of 
Graph Neural Networks.

.- Exploring Topographic Data with Transitive Closure on Graphs.

.- Design Space of Iterative Graph Stream Processing on DAG Constrained Systems.

.- Inspecting Neural Networks with Queries.

.- Layered Evidence-Centric Graph Construction for Explainable Multi-hop Ques
tion Answering.

.- Recommendation, Search and Information Retrieval.

.- MIRAGE: Multi-Intent Reasoning and Adaptive Graph Embedding for Recom
mendation.

.- POI Recommendation with Multi-Granular Weather Information.

.- Beyond the Window: Scaling Listwise LLM Reranking via Candidate Filtering.

.- PIPER: Content-Based Table Search via profiling and LLM-Generated 
Pseudoqueries.

.- Large Language Models and Multi-Agent Systems.

.- Centralized Task Planning and Dynamic Device Collaboration in LLM-based 
Multi-Agent Smart Home Systems.

.- KMAP: Knowledge-Controlled Multi-Agentic LLM Peer Learning.

.- On the Reliability of Open-Weight Language Models for Relational Data Genera
tion under Structural Constraints.

.- Towards Efficient Quantity Retrieval from Text: An Approach via Description 
Parsing and Weak Supervision.

.- Lightweight Strategies to Mitigate Small VideoLLM’s challenges in Video Sum
marization.

.- A Multi-Agent AI System for Automated Patent Deep Research and Analysis.

.- Data Governance, Quality and Integration.

.- An Evidence-Based Method for Assessing Data Governance Maturity.

.- Towards Semi-Automated Data Supply Chain Management.

.- MultiCleansing: Scalable Simultaneous Repairing of Data with Multi-Types of Er
rors.

.- Evaluating Data Quality Tools: Measurement Capabilities and LLM Integration.

.- Database Systems and Query Processing.

.- A Workload-Driven Clustering-Based Schema Transformation Model for Rela
tional to NoSQL Document Stores.

.- Bloom Filter Trees for Efficient Evaluation of Conjunctive Queries in LSM Stores.

.- Feasible Plan Generation with Ambiguity-Boundedness in Cross-Model Query 
Processing.

.- An Improved Representation for Temporal JSON.