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Fig. 10.3 Business value dimensions
l Performance of semantic solutions measured by improvements in efficiency,
effectiveness or strategic edge. Performance focuses on returns. In the following
pages, we discuss each dimension of business value in more detail.
Davies [ 14 ] also suggested that Semantic technologies drive business value by
providing superior capabilities (increased capacity to perform) in five critical areas:
l Development - Semantic automation of the “business-need-to-capability-
to-simulate-to-test-to-deploy-to-execute” development paradigm solves problems
of complexity, labour-intensivity, time-to-solution, cost and development risk.
l Infrastructure - Semantic enablement and orchestration of core resources for
transport, storage and computing help solve problems of infrastructure scale,
complexity and security.
l Information - Semantic interoperability of information and applications in
context, powered by semantic models makes “killer apps” of semantic search,
semantic collaboration, semantic portals and composite applications.
l Knowledge - Knowledge work automation and knowledge worker augmentation
based on executable knowledge assets enable new concepts of operation, super-
productive knowledge work, enterprise knowledge-superiority and new forms of
intellectual property.
l Behaviour - Systems that learn and reason as humans do, using large knowledge
bases, and reasoning with uncertainty and values, as well as logic enable new
categories of hi-value product, service and process.
10.4 Semantics for Wikipedia
Semantic wiki systems, such as Semantic MediaWiki (SMW) [ 15 ] and IkeWiki
[ 16 ], have been developed to extend conventional wikis by providing support
for simple semantic annotations on wiki pages, such as categories and typed
links. A wiki page in semantic wikis may contain both conventional wiki text and
structured data, and the structured data can be further accessed by customisable
queries using simple query languages.
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