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- such as ontologies and taxonomies, as well as thesauri- to the ordering of knowledge based on primary information.;
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in abstraction level, coverage, and formality. It also discusses the use of ontologies to achieve interoperability, and to represent multiple points;
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taxonomies Ontologies Obtaining taxonomies Changing taxonomies Taxonomies and data models Types of textual data Textual analytics.In addition;
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and methodologies for building ontologies, and the tool suites and languages that support them. During the last decade, increasing attention;
Vergelijkbare producten zoals Ontological Engineering: With Examples from the Areas of Knowledge Management, E-Commerce and the Semantic Web. First Edition
and methodologies for building ontologies, and the tool suites and languages that support them. During the last decade, increasing attention;
Vergelijkbare producten zoals Ontological Engineering: With Examples from the Areas of Knowledge Management, E-Commerce and the Semantic Web. First Edition
, evaluation, and engineering of business systems analysis methods. Readers are shown the world of ontologies through a number of research methods. For;
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the topic of ontologies for multi-agent systems, namely: How ontologies should be modelled and represented in order to be effectively used;
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is semantic search, where synonyms and related terms are used for enriching the results of a simple text-based search. Ontologies, thesauri or;
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is semantic search, where synonyms and related terms are used for enriching the results of a simple text-based search. Ontologies, thesauri or;
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applications. A third paradigm, dynamic taxonomies and faceted search, focuses on user-centered conceptual exploration, which is far more frequent;
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of substantive issues and implementations related to service science from various perspectives. From the formal (ontologies, representation;
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big challenge with regard to its designing and implementation, there are still many areas that need to create ontologies. Information Science;
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the reader through the Knowledge Organization domain expanding the core topics of ontologies, taxonomies, classification, metadata, thesauri;
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Visualization; Knowledge Management; Knowledge Retrieval; Knowledge Systems and Security; Neural Networks and Artificial Intelligence; Ontologies; and;
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inclusion in this book from a total of 242 submissions. They deal with topics such as data science and databases; ontologies; social networks;
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processes. This book targets the topic of knowledge representation and reasoning machines and introduces the concept of domain ontologies. Domain;
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architectures, ontology applications, ontology visualization and query expansion, and ontologies for services.;
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A ground-breaking new book, Beyond Human Error: Taxonomies and Safety Science deconstructs the conventional concept of human error and;
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A ground-breaking new book, Beyond Human Error: Taxonomies and Safety Science deconstructs the conventional concept of human error and;
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Systematics presents a revolutionary, qualitative and rigorous endeavor (from elements to system space) in searching for the unifying;
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A practical guide to the construction of thesauri for use in information retrieval, written by leading experts in the field. Includes;
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With the first publication of this book in 1988, the centrality of the lexicon in language research was becoming increasingly apparent and;
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in new taxonomies and methodological principles to shape this new research domain. This book addresses the needs of both researchers and;
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in new taxonomies and methodological principles to shape this new research domain. This book addresses the needs of both researchers and;
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Ontologies have been developed and investigated for quite a while now in artificial intelligence and natural language processing to;
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researchers in their respective fields and provide a thorough overview of the state-of-the-art of sponge science This volume will become;
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, reasoning over linked data, database to ontology mapping, query answering over ontologies, hybrid reasoning with rules and ontologies, and ontology;
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