The Human Semantic Web Shifting from Knowledge Push to Knowledge Pull

The Human Semantic Web Shifting from Knowledge Push to Knowledge Pull

Ambjörn Naeve (The Knowledge Management Research Group, Royal Institute of Technology, Sweden)
Copyright: © 2005 |Pages: 30
DOI: 10.4018/jswis.2005070101
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Abstract

This paper 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 concept-in-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.

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