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Semantic Modeling for Data Avoiding Pitfalls and Breaking Dilemmas

avoid and dilemmas to overcome for building high-quality and valuable semantic representations of data. Understand the fundamental concepts;

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Semantic Web for the Working Ontologist

Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL, Second Edition, discusses the capabilities of Semantic Web;

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Niche Modeling

conduct and evaluate niche modeling projects in any area of application. It features a series of theoretical and practical exercises for;

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Niche Modeling

conduct and evaluate niche modeling projects in any area of application. It features a series of theoretical and practical exercises for;

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Semantic Information Modeling in Formalized Languages

exchanging information and thus provides a method for the creation of universal semantic databases and for data communication in a common language.;

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Natural Language Processing for the Semantic Web

. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two;

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Natural Language Processing for the Semantic Web

. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two;

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Linked Data

Geographic Information using Semantic Web technologies and publishing it as Linked Data. They review the software tools currently available for;

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Applications and Developments in Semantic Process Mining

. Process analysis is one area that is undergoing substantial development due to the implementation of semantic reasoning and web technologies. The;

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Applications and Developments in Semantic Process Mining

. Process analysis is one area that is undergoing substantial development due to the implementation of semantic reasoning and web technologies. The;

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Modeling and Management of Fuzzy Semantic RDF Data

This book systemically presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data;

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Microsoft Tabular Modeling Cookbook

This book follows a cookbook style with recipes explaining the steps for developing analytic data using Business Intelligence Semantic;

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Object-Oriented Systems Analysis

This reference describes the semantic modeling of data as a technique for systems analysis. Authors focus first on information modeling;

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Handbook for Applied Modeling

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data;

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Semantic IoT: Theory and Applications

This book is focused on an emerging area, i.e. combination of IoT and semantic technologies, which should enable breaking the silos;

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Latent Semantic Mapping

matching words between queries and documents. It operates under the assumption that there is some latent semantic structure in the data, which;

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Foundations of Semantic Web Technologies

Semantic Web technologies standardized by the World Wide Web Consortium: RDF and SPARQL enable data exchange and querying, RDFS and OWL provide;

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Handbook for Applied Modeling

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data;

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Data Collection for Needs Assessment

collection methods for your unique business situation while avoiding common pitfalls. This Infoline demonstrates how to: plan and implement your data;

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Database and Expert Systems Applications

Continuous Query Language; Text Processing and Semantic Search; Indexing and Concurrency Control Methods; Data Warehouse and Data Stream Warehouse;

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Database and Expert Systems Applications

Continuous Query Language; Text Processing and Semantic Search; Indexing and Concurrency Control Methods; Data Warehouse and Data Stream Warehouse;

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Fact Oriented Modeling with FCO-IM

areas of application and further reading.Fact Oriented Modeling methods (like FCO-IM) have three major advantages over other data modeling;

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Sixth International Conference on Cognitive Modeling

across alternative modeling approaches in both basic research and applied settings, and a venue for planning the future growth of the discipline;

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Plant Metabolic Flux Analysis

quantification workflow. Steady state and dynamic modeling are considered, as well as recent developments for the reconstruction of metabolic networks;

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Mouse Genetics

lineages, and modeling human diseases. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to;

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Journal on Data Semantics XV

The LNCS Journal on Data Semantics is devoted to the presentation of notable work that, in one way or another, addresses research and;

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Semantic Modeling and Enrichment of Mobile and WiFi Network Data

This book discusses the fusion of mobile and WiFi network data with semantic technologies and diverse context sources for offering;

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