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The human Semantic Web: Shifting from knowledge push to knowledge pull
KTH, School of Computer Science and Communication (CSC), Numerical Analysis and Computer Science, NADA.
2006 (English)In: Semantic Web-Based Information Systems: State-of-the-Art Applications, IGI Global , 2006, 22-59 p.Chapter in book (Other academic)
Abstract [en]

This chapter introduces the human Semantic Web (HSW) as a conceptual interface, providing human-understandable semantics in addition to the ordinary (machine) Semantic Web, which provides machine-processable semantics based on RDF. The HSW is structured in the form of a knowledge manifold and makes use of unified language modeling (based on the unified modeling language) combined with conceptual browsing to present its information to the user in a way that creates substantial benefits in terms of overview, clarity, and flexibility. The HSW browser Conzilla combines the semantics of RDF with the human-understandable semantics of UML in order to enable more powerful forms of human-computer interaction, such as querying the Semantic Web through Edutella and supporting the conceptin-context methodology. The Semantic Web is discussed in terms of three levels of semantic interoperability: isolation, coexistence, and collaboration. Collaboration, as the highest goal, can be achieved by conceptual calibration, which builds bridges between different ontologies in a bottom-up way, describing their similarities as well as their differences. An example is presented in Conzilla of conceptual calibration between systems for e-commerce. In the closing section, the Nonaka-Takeuchi theory of knowledge creation is discussed, and the HSW is described as a "space for interaction," where the SECI spiral of knowledge creation can be elevated to the global level. Three possible scenarios are presented: open research, enriching the economy by expanding the value ontology, and negotiating a sustainable future for all.

Place, publisher, year, edition, pages
IGI Global , 2006. 22-59 p.
National Category
Computer Science
URN: urn:nbn:se:kth:diva-161861DOI: 10.4018/978-1-59904-426-2.ch002ScopusID: 2-s2.0-84899339918ISBN: 9781599044262OAI: diva2:796164

QC 20150318

Available from: 2015-03-18 Created: 2015-03-17 Last updated: 2015-03-18Bibliographically approved

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Naeve, Ambjörn
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Numerical Analysis and Computer Science, NADA
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