Database and Expert Systems Applications : 37th International Conference, DEXA 2026, Graz, Austria, August 11–13, 2026, Proceedings, Part I / / edited by Robert Wrembel, Gabriele Kotsis, A Min Tjoa, Ismail Khalil

• Autore: Wrembel Robert
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2027
• Edizione: 1st ed. 2027.
• Descrizione fisica: 1 online resource (598 pages)
• Disciplina: 005.74
• Soggetto topico: Database management; Artificial intelligence; Application software; Software engineering; Information storage and retrieval systems; Data mining; Database Management; Artificial Intelligence; Computer and Information Systems Applications; Software Engineering; Information Storage and Retrieval; Data Mining and Knowledge Discovery
• Nota di contenuto: -- 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Database and Expert Systems Applications
• ISBN: 9783032343741
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911127460203321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 16859