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Semantic lifecycles: modelling, application, authoring, mining, and evaluation of meaningful data Export

International Journal of Knowledge and Web Intelligence, Vol. 1, No. 1. (1 January 2009), pp. 110-124.

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application architecture design designing engineering lifecycle mining modeling ontologies semantic

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The Semantic Web aims at evolving the 'web of data' to an 'intelligent information space' which is responsive to both human beings and computer systems. Consequently, semantic technologies have emerged in many application fields, primarily to provide intelligent IT systems. Semantics, therefore, is considered to be the essence of systemic intelligence. In this paper, we introduce a lifecycle model for semantics, consisting of five phases: a) modeling; b) application; c) authoring; d) mining; e) evaluation of semantic information. With respect to this model, we analyse semantic lifecycles from former research work and summarise experiences as well as future research activities.


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