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Softcover. Condición: Très bon. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Ammareal gives back up to 15% of this item's net price to charity organizations.

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Paperback or Softback. Condición: New. Enterprise Architecture Fundamentals: Using the Pagoda Blueprint. Book.

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Paperback. Condición: New.

Paperback. Condición: Good. The book is divided into five parts: parts I and II take a general perspective on enterprise, systems, and frameworks, parts III and IV are focused on technical aspects, and part V takes a prospective view on new challenges and technologies.Part one outlines the basics of enterprise architecture modeling: ● Enterprises' maps (or blueprints) and territories (environments, systems, processes)● Modeling primer: objects and surrogates● Modeling paradigm: environments and systemsPart two explains the core ideas of EA as a discipline: ● Distinction between business and systems perspectives● Benefits of frameworks to map architectures and the management of changes● The Pagoda blueprint as a revised understanding of the Zachman frameworkPart three considers the all-inclusive representation of data (environments), information (systems), and knowledge (enterprise): ● Descriptive and prescriptive models● Profiles, meta-models, and the benefits of ontologies● Ontologies, Knowledge graphs, and the building of actionable maps of environments, organization, and systems.● Decision-making processes and the seamless integration of systems and representations.Part four deals with engineering and the transformation of enterprise architectures: ● Taxonomy of requirements and the distinction between architecture-oriented and business-driven requirements.● Refactoring of requirements along enterprise architecture concerns, with a focus on digital transformation.● Role of Use cases for the definition of business objectives, user-driven applications, and systems-oriented functions.● Role of Model-based systems engineering (MBSE) at the hub of enterprise architecture transformations, between Agile developments and systems modernization.Part five considers enterprises as viable organisms and the consequences of new technologies for their resilience and evolution: ● Enterprises' capacity to change in terms of architecture versatility and plasticity, and the benefits of a revisited Capacity maturity model integration (CMMI)● Evolutionary impact of Artificial intelligence and Machine-learning technologies with regard to enterprises' resilience in the face of disruptive changes in environments.…

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Hardback or Cased Book. Condición: New. Enterprise Architecture Fundamentals: Using the Pagoda Blueprint. Book.

Paperback. Condición: Good. The book is divided into five parts: parts I and II take a general perspective on enterprise, systems, and frameworks, parts III and IV are focused on technical aspects, and part V takes a prospective view on new challenges and technologies.Part one outlines the basics of enterprise architecture modeling: ● Enterprises' maps (or blueprints) and territories (environments, systems, processes)● Modeling primer: objects and surrogates● Modeling paradigm: environments and systemsPart two explains the core ideas of EA as a discipline: ● Distinction between business and systems perspectives● Benefits of frameworks to map architectures and the management of changes● The Pagoda blueprint as a revised understanding of the Zachman frameworkPart three considers the all-inclusive representation of data (environments), information (systems), and knowledge (enterprise): ● Descriptive and prescriptive models● Profiles, meta-models, and the benefits of ontologies● Ontologies, Knowledge graphs, and the building of actionable maps of environments, organization, and systems.● Decision-making processes and the seamless integration of systems and representations.Part four deals with engineering and the transformation of enterprise architectures: ● Taxonomy of requirements and the distinction between architecture-oriented and business-driven requirements.● Refactoring of requirements along enterprise architecture concerns, with a focus on digital transformation.● Role of Use cases for the definition of business objectives, user-driven applications, and systems-oriented functions.● Role of Model-based systems engineering (MBSE) at the hub of enterprise architecture transformations, between Agile developments and systems modernization.Part five considers enterprises as viable organisms and the consequences of new technologies for their resilience and evolution: ● Enterprises' capacity to change in terms of architecture versatility and plasticity, and the benefits of a revisited Capacity maturity model integration (CMMI)● Evolutionary impact of Artificial intelligence and Machine-learning technologies with regard to enterprises' resilience in the face of disruptive changes in environments.…

Condición: As New. Unread book in perfect condition.

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Hardback. Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Hardcover. Condición: new. Hardcover. Ontological Prisms The expansion of generative AI has highlighted the limitations of purely neural approaches and the benefits of coupling them with symbolic counterparts epitomized by ontologies. While knowledge graphs emerge as the jack of all trades among agents dealing with language, knowledge, and orchestration, there is little consensus on the sources and roles of ontologies, in other words, knowledge. The book introduces ontological prisms, a game-changing paradigm that unfolds the geometry of knowledge into a triptych of observed worlds (facts), meanings (concepts), and shared representations (categories). This approach entails three major breakthroughs with regard to: Interoperability: by establishing a principled and actionable distinction between communication (language) and representation (knowledge), ontological prisms provide a blueprint for semantic and conceptual layers set across heterogeneous representationsAbstraction levels: leveraging its three-pronged paradigm, ontological prisms untangle the abstraction conundrum between upper (or foundational) and lower (or domain-specific) level ontologies. This allows for a smooth, declarative integration of ontological abstractions without imposing unwieldy inheritance hierarchiesTemporality: the epistemic distinction between worlds (facts), intents (concepts), and representations (categories), combined with differentiated abstraction semantics, enables diachronic knowledge management alongside concurrent engineering processes, regardless of domain overlaps and misaligned life cyclesThese advances allow for a seamless integration of knowledge engineering between agentic and enterprise systems: facts, categories, and concepts for the former, mapped to data, information, and knowledge for the latter, respectively. That knowledge-driven integration of cognitive and systems capabilities paves the way to a holistic approach to collective learning weaving together individuals, organizations, and systems. The book is organized into three parts: principles, foundations, and architecture; cognitive functions: language, reasoning, and judgment; and systems and knowledge engineering. The third part introduces the KEOPS (Knowledge Engineering with Ontological Prisms) methodology, accompanied by a kernel developed with OWL/Prot??g?? This organization allows for differentiated readings for graduates, engineers, and consultants, ensuring a comprehensive understanding of agentic cognition, knowledge engineering and ontology development, as well as business intelligence and decision-making systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Kartoniert / Broschiert. Condición: New.

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

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Hardback. Condición: New.

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Hardcover. Condición: new. Hardcover. Ontological Prisms The expansion of generative AI has highlighted the limitations of purely neural approaches and the benefits of coupling them with symbolic counterparts epitomized by ontologies. While knowledge graphs emerge as the jack of all trades among agents dealing with language, knowledge, and orchestration, there is little consensus on the sources and roles of ontologies, in other words, knowledge. The book introduces ontological prisms, a game-changing paradigm that unfolds the geometry of knowledge into a triptych of observed worlds (facts), meanings (concepts), and shared representations (categories). This approach entails three major breakthroughs with regard to: Interoperability: by establishing a principled and actionable distinction between communication (language) and representation (knowledge), ontological prisms provide a blueprint for semantic and conceptual layers set across heterogeneous representationsAbstraction levels: leveraging its three-pronged paradigm, ontological prisms untangle the abstraction conundrum between upper (or foundational) and lower (or domain-specific) level ontologies. This allows for a smooth, declarative integration of ontological abstractions without imposing unwieldy inheritance hierarchiesTemporality: the epistemic distinction between worlds (facts), intents (concepts), and representations (categories), combined with differentiated abstraction semantics, enables diachronic knowledge management alongside concurrent engineering processes, regardless of domain overlaps and misaligned life cyclesThese advances allow for a seamless integration of knowledge engineering between agentic and enterprise systems: facts, categories, and concepts for the former, mapped to data, information, and knowledge for the latter, respectively. That knowledge-driven integration of cognitive and systems capabilities paves the way to a holistic approach to collective learning weaving together individuals, organizations, and systems. The book is organized into three parts: principles, foundations, and architecture; cognitive functions: language, reasoning, and judgment; and systems and knowledge engineering. The third part introduces the KEOPS (Knowledge Engineering with Ontological Prisms) methodology, accompanied by a kernel developed with OWL/Prot??g?? This organization allows for differentiated readings for graduates, engineers, and consultants, ensuring a comprehensive understanding of agentic cognition, knowledge engineering and ontology development, as well as business intelligence and decision-making systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Condición: new. Hardcover. Ontological Prisms The expansion of generative AI has highlighted the limitations of purely neural approaches and the benefits of coupling them with symbolic counterparts epitomized by ontologies. While knowledge graphs emerge as the jack of all trades among agents dealing with language, knowledge, and orchestration, there is little consensus on the sources and roles of ontologies, in other words, knowledge. The book introduces ontological prisms, a game-changing paradigm that unfolds the geometry of knowledge into a triptych of observed worlds (facts), meanings (concepts), and shared representations (categories). This approach entails three major breakthroughs with regard to: Interoperability: by establishing a principled and actionable distinction between communication (language) and representation (knowledge), ontological prisms provide a blueprint for semantic and conceptual layers set across heterogeneous representationsAbstraction levels: leveraging its three-pronged paradigm, ontological prisms untangle the abstraction conundrum between upper (or foundational) and lower (or domain-specific) level ontologies. This allows for a smooth, declarative integration of ontological abstractions without imposing unwieldy inheritance hierarchiesTemporality: the epistemic distinction between worlds (facts), intents (concepts), and representations (categories), combined with differentiated abstraction semantics, enables diachronic knowledge management alongside concurrent engineering processes, regardless of domain overlaps and misaligned life cyclesThese advances allow for a seamless integration of knowledge engineering between agentic and enterprise systems: facts, categories, and concepts for the former, mapped to data, information, and knowledge for the latter, respectively. That knowledge-driven integration of cognitive and systems capabilities paves the way to a holistic approach to collective learning weaving together individuals, organizations, and systems. The book is organized into three parts: principles, foundations, and architecture; cognitive functions: language, reasoning, and judgment; and systems and knowledge engineering. The third part introduces the KEOPS (Knowledge Engineering with Ontological Prisms) methodology, accompanied by a kernel developed with OWL/Prot??g?? This organization allows for differentiated readings for graduates, engineers, and consultants, ensuring a comprehensive understanding of agentic cognition, knowledge engineering and ontology development, as well as business intelligence and decision-making systems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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Condición: New. pp. 368.