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Full Description
The rapid advancement of semantic web technologies, along with the fact that they are at various levels of maturity, has left many practitioners confused about the current state of these technologies. Focusing on the most mature technologies, Applied Semantic Web Technologies integrates theory with case studies to illustrate the history, current state, and future direction of the semantic web. It maintains an emphasis on real-world applications and examines the technical and practical issues related to the use of semantic technologies in intelligent information management.
The book starts with an introduction to the fundamentals—reviewing ontology basics, ontology languages, and research related to ontology alignment, mediation, and mapping. Next, it covers ontology engineering issues and presents a collaborative ontology engineering tool that is an extension of the Semantic MediaWiki. Unveiling a novel approach to data and knowledge engineering, the text:
Introduces cutting-edge taxonomy-aware algorithms
Examines semantics-based service composition in transport logistics
Offers ontology alignment tools that use information visualization techniques
Explains how to enrich the representation of entity semantics in an ontology
Addresses challenges in tackling the content creation bottleneck
Using case studies, the book provides authoritative insights and highlights valuable lessons learned by the authors—information systems veterans with decades of experience. They explain how to create social ontologies and present examples of the application of semantic technologies in building automation, logistics, ontology-driven business process intelligence, decision making, and energy efficiency in smart homes.
Contents
INTRODUCTION. Applied Semantic Web Technologies. ONTOLOGIES. Fundamentals and Languages. Toward Semantic Interoperability between Information Systems. AlViz: A Tool for Ontology Alignment Utilizing Information Visualization Techniques. SRS: A Hybrid Ontology Mediation and Mapping Approach. ONTOLOGY ENGINEERING AND EVALUATION. An Ontology Engineering Tool for Enterprise 3.0. Learning of Social Ontologies in WWW. Relation Extraction for Semantic Web with Taxonomic Sequential Patterns. Data-Driven Evaluation of Ontologies Using Machine Learning Algorithms. Automatic Evaluation of Search Ontologies in the Entertainment Domain Using Natural Language Processing. SEMANTIC APPLICATIONS. Adding Semantics to Decision Tables. Semantic Sentiment Analyses Based on Reputations of Web Information Sources. Semantics and Search. Toward Semantics-Based Service Composition in Transport Logistics. Ontology-Driven Business Process Intelligence. Semantics for Energy Efficiency in Smart Home Environments.
