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Multimodal Knowledge Systems
Changmeng Zheng, Qing Li (Gebundene Ausgabe, Englisch)
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Beschreibung
This book focuses on advancing the integration of multimodal data (text, images, and structured knowledge) to enable precise knowledge extraction and human-like reasoning. The book’s primary objective is to address critical challenges such as modality gaps, semantic misalignment, dataset biases, and static reasoning paradigms. By introducing novel frameworks that unify graph-based learning,… hierarchical representation, bias mitigation, and iterative refinement, this book provides systematic solutions to build robust, interpretable, and scalable AI systems. This book addresses gaps caused by incomplete textual semantics, spurious correlations across modalities, and inflexible reasoning pipelines by offering three pivotal contributions. First, the authors offer theoretical innovations in graph alignment techniques, hierarchical learning paradigms, and multi-agent reasoning frameworks. Then, the book goes on to offer practical tools including benchmark datasets, reproducible methodologies, and applications validated on state-of-the-art tasks. Finally, the book offers a broader impact through solutions tailored for low-resource settings, ethical considerations in AI deployment, and integration with emerging technologies like large foundation models. By bridging the divide between theoretical advancements and real-world applicability, the book serves as an essential resource for researchers and practitioners aiming to leverage multimodal data effectively, ethically, and at scale. Dieses Produkt haben wir gerade leider nicht auf Lager.
Handgeprüfte Gebrauchtware
Bis zu 50 % günstiger als neu
Der Umwelt zuliebe
Technische Daten
Erscheinungsdatum
01.06.2026
Sprache
Englisch
EAN
9783032187604
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Wireless Networks
Sonderedition
Nein
Autor
Changmeng Zheng, Qing Li
Seitenanzahl
226
Einbandart
Gebundene Ausgabe
Buch Untertitel
Construction and Reasoning
Schlagwörter
Multimodal Knowledge Extraction, Cross-Modal Graph Alignment, Hierarchical Representation Learning, Knowledge Graph Reasoning, Bias Mitigation in AI, Multimodal Dataset Construction, Interpretable Neural Networks, Multi-Agent Debate Systems, Ethical AI Deployment, Foundation Model Integration, Social Media Analytics, Human-in-the-Loop AI
Thema-Inhalt
TJK - Nachrichtententechnik, Telekommunikation
UKN - Netzwerk-Hardware
UN - Datenbanken
Höhe
235 mm
Breite
15.5 cm
Hersteller: Springer Nature Customer Service Center GmbH, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com
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