Semantic Web Engineering in the Knowledge Society.

Semantic Web Engineering in the Knowledge Society. Semantic Web A collaboration of the World Wide Web Consortium (W3C) and others to provide a standard for defining data on the Web. The Semantic Web uses XML tags that conform to Resource Description Framework and Web Ontology Language formats (see RDF and OWL). Engineering in the Knowledge Society ED. BY JORGE CARDOSO AND MILTIADIS LYTRAS Hershey, PA: IGI IGI International Genealogical IndexIGI International Gemological InstituteIGI I'm Going InIGI I Get ItIGI Institute of Geologists of IrelandIGI Inspector General for InvestigationsIGI Institution Gang Investigator (prisons)Global/Information Science Reference, 2009. 403pp. US$195.00. Hard cover. ISBN ISBNabbr.International Standard Book NumberISBNInternational Standard Book NumberISBNn abbr (= International Standard Book Number) → ISBN m9781605661124 This title showcases cutting edge research and experiments in usingsemantics and ontologies to give information well-defined meaning withthe aim of enabling seamless cooperation between computers and people.In 14 chapters, researchers, scientists and practitioners present theirfindings and experience in the design, implementation and launch ofsemantic web applications. Conceptual frameworks and case study reportsrelate conclusions drawn from the latest research, whilst simultaneouslysowing the seeds for future research and exploration. Chapter 1 provides an introduction to the concept of Semantic Webapplications and describes an Inference Web application toolkit that canprovide support in a variety of tasks. Chapter 2 focuses on theindustrial use of semantics and argues that the concept of a system ofsystems should give way to a new paradigm New ParadigmIn the investing world, a totally new way of doing things that has a huge effect on business.Notes:The word "paradigm" is defined as a pattern or model, and it has been used in science to refer to a theoretical framework. of a federation of services.Chapter 3 considers how well Semantic Web technologies can be applied tovarious personalisation applications. Chapter 4 covers importing andquerying ontologies. Chapter 5 gives an account of the potential of semanticallyprocessing monitoring data in industrial applications, with specialreference to the design and prototype implementation of a decisionsupport system in the railway domain. Special attention is paid toontology ontology:see metaphysics. ontologyTheory of being as such. It was originally called “first philosophy” by Aristotle. In the 18th century Christian Wolff contrasted ontology, or general metaphysics, with special metaphysical theories engineering, system architecture and lessons learned duringthis project. Chapter 6 argues for the combination of informationextraction In natural language processing, information extraction (IE) is a type of information retrieval whose goal is to automatically extract structured information, i.e. categorized and contextually and semantically well-defined data from a certain domain, from unstructured tools with knowledge representation tools in the paralleltasks of semantic annotation and ontology population. Chapter 7 highlights the importance of differentiating betweenpermanent and transient semantic mapping faults, and Chapter 8 promotesthe benefits of using semantics for analysing collaboration networks ina bibliography set, showing how this method can be used to determineauthors' fields of expertise. Chapter 9 illustrates how semantic approaches can be used to find,extract and structure information from natural language texts on theWeb, and Chapter 10 offers a detailed example of a solution to theproblem of converting legacy relational databases into normaliseddatabase schema. Chapter 11 focuses on Social Software and Web 2.0, showing howthese concepts can be applied in an adaptive knowledge engineeringmethodology to enhance truly semantic collaboration. Chapter 12 presentsthe design of a standard Social Semantic Desktop together with anontology pyramid developed to support it. The chapter provides detail onarchitecture, implementation and engineering principles, as well as sometechnical challenges that were experienced during the developmentprocess. Chapter 13 deals with the interesting concept of uncertaintyrepresentation and reasoning for the Semantic Web. The final chapterstresses the importance of having a benchmarking methodology in place toevaluate Semantic Web applications and technologies. Eleven of the chapters contain 'Questions for discussion'appendices, which make the book useful as a handbook for advancedcomputer studies. This is a versatile reference for academics, seniorstudents, researchers and practitioners who are interested in exploringthe solutions made possible by Semantic Web technologies andapplications. Marietjie Schutte University of Pretoria