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Content

OPEN DATA - OPENS PROBLEMS? Challenges and Opportunities in Social Science Research Data Management / Stefan Kramer - Aktivitäten von GESIS im Kontext von Open Data und Zugang zu sozialwissenschaftlichen Forschungsergebnissen / Anja Wilde, Agnieszka Wenninger, Oliver Hopt, Philipp Schaer und Benjamin Zapilko NUTZER UND NUTZUNG IM ZEITALTER VON SEMANTIC WEB & LINKED DATA Die Erfassung, Nutzung und Weiterverwendung von statistischen Informationen - Erfahrungsbericht / Doris Stärk - Einsatz semantischer Technologien zur Entwicklung eines Lerntrajektoriengenerators in frei zugänglichen, nicht personalisierenden Lernplattformen / Richard Huber, Adrian Paschke, Georges Awad und Kirsten Hantelmann OPEN DATA: KONZEPTE - NUTZUNG - ZUKUNFT Zur Konzeption und Implementierung einer Infrastruktur für freie bibliographische Daten / Adrian Pohl und Felix Ostrowski - Lösung zum multilingualen Wissensmanagement semantischer Informationen / Lars Ludwig - Linked Open Projects: Nachnutzung von Projektergebnissen als Linked Data / Kai Eckert AUSBLICK INFORMATIONSKOMPETENZ GMMIK ['gi-mik] - Ein Modell der Informationskompetenz / Aleksander Knauerhase WORKSHOP Wissensdiagnostik als Instrument für Lernempfehlungen am Beispiel der Facharztprüfung / Werner Povoden, Sabine Povoden und Roland Streule

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Footnote

Rez. in: JASIST 57(2006) no.8, S.1132-1133 (H. Che): "The World Wide Web has been the main source of an important shift in the way people communicate with each other, get information, and conduct business. However, most of the current Web content is only suitable for human consumption. The main obstacle to providing better quality of service is that the meaning of Web content is not machine-accessible. The "Semantic Web" is envisioned by Tim Berners-Lee as a logical extension to the current Web that enables explicit representations of term meaning. It aims to bring the Web to its full potential via the exploration of these machine-processable metadata. To fulfill this, it pros ides some meta languages like RDF, OWL, DAML+OIL, and SHOE for expressing knowledge that has clear, unambiguous meanings. The first steps in searing the Semantic Web into the current Web are successfully underway. In the forthcoming years, these efforts still remain highly focused in the research and development community. In the next phase, the Semantic Web will respond more intelligently to user queries. The first chapter gets started with an excellent introduction to the Semantic Web vision. At first, today's Web is introduced, and problems with some current applications like search engines are also covered. Subsequently, knowledge management. business-to-consumer electronic commerce, business-to-business electronic commerce, and personal agents are used as examples to show the potential requirements for the Semantic Web. Next comes the brief description of the underpinning technologies, including metadata, ontology, logic, and agent. The differences between the Semantic Web and Artificial Intelligence are also discussed in a later subsection. In section 1.4, the famous "laser-cake" diagram is given to show a layered view of the Semantic Web. From chapter 2, the book starts addressing some of the most important technologies for constructing the Semantic Web. In chapter 2, the authors discuss XML and its related technologies such as namespaces, XPath, and XSLT. XML is a simple, very flexible text format which is often used for the exchange of a wide variety of data on the Web and elsewhere. The W3C has defined various languages on top of XML, such as RDF. Although this chapter is very well planned and written, many details are not included because of the extensiveness of the XML technologies. Many other books on XML provide more comprehensive coverage.