Terminological Ontologies [electronic resource] : Design, Management and Practical Applications /
Lacasta, Javier.author.
Nogueras-Iso, Javier.author.
Zarazaga Soria, Francisco Javier.author.
Information infrastructures are integrated solutions based on the fusion of information and communication technologies. They are characterized by the large amount of data that must be managed accordingly. An information infrastructure requires an efficient and effective information retrieval system to provide access to the items stored in the infrastructure. Terminological Ontologies: Design, Management and Practical Applications presents the main problems that affect the discovery systems of information infrastructures to manage terminological models, and introduces a combination of research tools and applications in Semantic Web technologies. This book specifically analyzes the need to create, relate, and integrate the models required for an infrastructure by elaborating on the problem of accessing these models in an efficient manner via interoperable services and components. About this book: • Includes the common framework for integration of terminological models into information infrastructures, covering the different management steps (acquisition, storage, and access). • Provides a revision of the main requirements of terminological models in different information retrieval systems and proposes integration solutions to facilitate and simplify its management. • "This book is essential for those who will have to create ontologies from existing terminological databases," comments Dr. Jacques Teller, University Of Liege, Belgium. Terminological Ontologies: Design, Management and Practical Applications is geared toward information management systems and semantic web professionals working as project managers, application developers, government workers and more. Advanced undergraduate and graduate level students, professors and researchers focusing on computer science will also find this book valuable as a secondary text or reference book.
Description based upon print version of record.
Includes bibliographical references (p. 177-191) and index.
Ontology basic concepts -- A representation framework for terminological ontologies -- Ontology learning for terminological ontologies -- Formalization of terminological ontologies -- Access to terminological ontologies -- Applicability of terminological ontologies to information retrieval -- Concluding remarks and outlook.
Information infrastructures are integrated solutions based on the fusion of information and communication technologies. They are characterized by the large amount of data that must be managed accordingly. An information infrastructure requires an efficient and effective information retrieval system to provide access to the items stored in the infrastructure. Terminological Ontologies: Design, Management and Practical Applications presents the main problems that affect the discovery systems of information infrastructures to manage terminological models, and introduces a combination of research tools and applications in Semantic Web technologies. This book specifically analyzes the need to create, relate, and integrate the models required for an infrastructure by elaborating on the problem of accessing these models in an efficient manner via interoperable services and components. About this book: • Includes the common framework for integration of terminological models into information infrastructures, covering the different management steps (acquisition, storage, and access). • Provides a revision of the main requirements of terminological models in different information retrieval systems and proposes integration solutions to facilitate and simplify its management. • "This book is essential for those who will have to create ontologies from existing terminological databases," comments Dr. Jacques Teller, University Of Liege, Belgium. Terminological Ontologies: Design, Management and Practical Applications is geared toward information management systems and semantic web professionals working as project managers, application developers, government workers and more. Advanced undergraduate and graduate level students, professors and researchers focusing on computer science will also find this book valuable as a secondary text or reference book.
Computer communication systems.
Computer engineering.
Artificial intelligence.
Application software.
Information storage and retrieval.
Database management.
Computer Communication Networks.
Computer Engineering.
Artificial Intelligence.
Information Systems Applications (incl. Internet).
Information Storage and Retrieval.
Database Management.
Semantic web and beyond :computing for human experience