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    <swrc:booktitle>Proceedings of the International Workshop on Emergent Semantics and
	Ontology Evolution (ESOE2007) at ISWC/ASWC2007, Busan, South Korea</swrc:booktitle><swrc:crossref>http://data.semanticweb.org/workshop/esoe/2007/proceedings</swrc:crossref><swrc:month>November</swrc:month><swrc:title>Extreme Tagging: Emergent Semantics through the Tagging of Tags</swrc:title><swrc:year>2007</swrc:year><swrc:keywords>2007 DISS emergent extreme folksonomies iswc semantics tag tagging toread workshop_esoe </swrc:keywords><swrc:date>2008-08-13 11:00:11.0</swrc:date><swrc:abstract>While the Semantic Web requires a large amount of structured knowledge
	(triples) to allow machine reasoning, the acquisition of this knowledge
	still represents an open issue. Indeed, expressing expert knowledge
	in a given formalism is a tedious process. Less structured annotations
	such as tagging have, however, proved immensely popular, whilst existing
	unstructured or semi-structured collaborative knowledge bases such
	as Wikipedia have proven to be useful and scalable. Both processes
	are often regulated through social mechanisms such as wiki-like operations,
	recommendations, ratings, and collaborative games. To promote collaborative
	tagging as a means to acquire unstructured as well as structured
	knowledge we introduce the notion of Extreme Tagging, which describes
	systems which allow the tagging of resources, as well as of tags
	themselves and their relations. We provide a formal description of
	extreme tagging followed by examples and highlight the necessity
	of regulatory processes which can be applied to it. We also present
	a prototype implementation.</swrc:abstract><swrc:hasExtraField>
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	is required. This information ranges from demographic data, weather
	forecasts and sensor data, available transportation means, presence
	of helpful agents, land use and cover statistics or values, etc.
	Moreover, the emergency management process is dynamic as it involves
	several definite steps, described in standard procedures from which
	the Emergency Officer (EO) should not depart without good reason.
	Multiple agencies own the relevant data and possess parts of emergency
	related knowledge.</swrc:abstract><swrc:hasExtraField>
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