Isbn: 9798337313603 - llms, knowledge graphs, and the semantic web: revolutionizing data processing, knowledge extraction, and ai capabilities (10 resultados)

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  • Idioma: Inglés

    Editorial: Engineering Science Reference, 2026

    9798337313603

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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    HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Engineering Science Reference, 2026

    9798337313603

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    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

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    HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Igi Global Scientific Publishing, 2026

    9798337313603

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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  • Idioma: Inglés

    Editorial: Igi Global Scientific Publishing, 2026

    9798337313603

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    Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA

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    EUR 233,75

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    Hardback. Condición: New.

  • Idioma: Inglés

    Editorial: Igi Global Scientific Publishing, 2026

    9798337313603

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    Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK

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    EUR 226,61

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    Hardback. Condición: New.

  • Idioma: Inglés

    Editorial: Igi Global Scientific Publishing, 2026

    9798337313603

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    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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    EUR 219,69

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    Hardcover. Condición: new. Hardcover. In the landscape of AI and data science, the convergence of large language models (LLMs), knowledge graphs (KGs), and the Semantic Web ushers in a new era of intelligent systems. These technologies transform how machines understand and process human language while redefining the way knowledge is extracted, structured, and utilized. LLMs are enhanced by the structured data of KGs and the frameworks of the Semantic Web. Together, they revolutionize data processing, enabling deeper semantic understanding, and unlocking powerful new capabilities in AI-driven decision-making, search, and automation. This collaboration marks a leap forward in building systems that can reason, learn, and interact more like humans. LLMs, Knowledge Graphs, and the Semantic Web: Revolutionizing Data Processing, Knowledge Extraction, and AI Capabilities explores the relationship between LLMs and KGs as a part of the Semantic Web, showing how their integration can revolutionize data processing, knowledge extraction, and AI capabilities. It serves as a reference for Semantic Web technologies applied in LLMs and IoT. This book covers topics such as database technologies, metaverse, and intelligent systems, and is a useful resource for computer engineers, data scientists, academicians, researchers, and computer scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Idioma: Inglés

    Editorial: Igi Global Scientific Publishing, 2026

    9798337313603

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    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    EUR 195,68

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    Hardcover. Condición: new. Hardcover. In the landscape of AI and data science, the convergence of large language models (LLMs), knowledge graphs (KGs), and the Semantic Web ushers in a new era of intelligent systems. These technologies transform how machines understand and process human language while redefining the way knowledge is extracted, structured, and utilized. LLMs are enhanced by the structured data of KGs and the frameworks of the Semantic Web. Together, they revolutionize data processing, enabling deeper semantic understanding, and unlocking powerful new capabilities in AI-driven decision-making, search, and automation. This collaboration marks a leap forward in building systems that can reason, learn, and interact more like humans. LLMs, Knowledge Graphs, and the Semantic Web: Revolutionizing Data Processing, Knowledge Extraction, and AI Capabilities explores the relationship between LLMs and KGs as a part of the Semantic Web, showing how their integration can revolutionize data processing, knowledge extraction, and AI capabilities. It serves as a reference for Semantic Web technologies applied in LLMs and IoT. This book covers topics such as database technologies, metaverse, and intelligent systems, and is a useful resource for computer engineers, data scientists, academicians, researchers, and computer scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Idioma: Inglés

    Editorial: Igi Global Scientific Publishing, 2026

    9798337313603

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    Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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    EUR 260,71

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    Hardcover. Condición: new. Hardcover. In the landscape of AI and data science, the convergence of large language models (LLMs), knowledge graphs (KGs), and the Semantic Web ushers in a new era of intelligent systems. These technologies transform how machines understand and process human language while redefining the way knowledge is extracted, structured, and utilized. LLMs are enhanced by the structured data of KGs and the frameworks of the Semantic Web. Together, they revolutionize data processing, enabling deeper semantic understanding, and unlocking powerful new capabilities in AI-driven decision-making, search, and automation. This collaboration marks a leap forward in building systems that can reason, learn, and interact more like humans. LLMs, Knowledge Graphs, and the Semantic Web: Revolutionizing Data Processing, Knowledge Extraction, and AI Capabilities explores the relationship between LLMs and KGs as a part of the Semantic Web, showing how their integration can revolutionize data processing, knowledge extraction, and AI capabilities. It serves as a reference for Semantic Web technologies applied in LLMs and IoT. This book covers topics such as database technologies, metaverse, and intelligent systems, and is a useful resource for computer engineers, data scientists, academicians, researchers, and computer scientists. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Idioma: Inglés

    Editorial: IGI GLOBAL SCIENTIFIC PUBLISHING, 2026

    9798337313603

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    EUR 238,75

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    Buch. Condición: Neu. LLMs, Knowledge Graphs, and the Semantic Web | Revolutionizing Data Processing, Knowledge Extraction, and AI Capabilities | Fernando Ortiz-Rodriguez (u. a.) | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337313603 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

  • Idioma: Inglés

    Editorial: IGI GLOBAL SCIENTIFIC PUBLISHING, 2026

    9798337313603

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    EUR 389,08

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    Cantidad disponible: 2 disponibles

    Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the landscape of AI and data science, the convergence of large language models (LLMs), knowledge graphs (KGs), and the Semantic Web ushers in a new era of intelligent systems. These technologies transform how machines understand and process human language while redefining the way knowledge is extracted, structured, and utilized. LLMs are enhanced by the structured data of KGs and the frameworks of the Semantic Web. Together, they revolutionize data processing, enabling deeper semantic understanding, and unlocking powerful new capabilities in AI-driven decision-making, search, and automation. This collaboration marks a leap forward in building systems that can reason, learn, and interact more like humans. LLMs, Knowledge Graphs, and the Semantic Web: Revolutionizing Data Processing, Knowledge Extraction, and AI Capabilities explores the relationship between LLMs and KGs as a part of the Semantic Web, showing how their integration can revolutionize data processing, knowledge extraction, and AI capabilities. It serves as a reference for Semantic Web technologies applied in LLMs and IoT. This book covers topics such as database technologies, metaverse, and intelligent systems, and is a useful resource for computer engineers, data scientists, academicians, researchers, and computer scientists.