Lifecycle models of data-centric systems and domains: The abstract data lifecycle model
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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.