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005			20210222152158.0
008			090401t xxu||||| |||| 00| 0 eng d
035			_a(Sirsi) 67062
100	1		_aBurgdorfer, Christoph _91613
245	1	0	_aUser generated meta data aggregation in the context of web search and discovery
260	0	0	_aChislehurst : _bRavensbourne College, _c2007
500			_aIn the early days of the world wide web, search engines used to read so called Meta Tags within the website source code in order to determine the content of a page. Nowadays search engines do not consider those tags as very relevant anymore. Instead they use other, more sophisticated algorithms to determine not only the content but also the context around an internet site. This dissertation and research paper argues we have to go a step further: The content of a website should not be classified by machines but by the people who use it. Other than machines, humans can determine the context and nature of a website intuitively. With the dawn of the participative web the time is right to introduce user generated classification of websites. This dissertation discusses the development and rationale behind the proposed way of search and discover of online content.
500			_aMA dissertation: Networked Media Environments
650	0	0	_aInternet
650	0	0	_aInteractive media
650	0	0	_aWeb sites
650	0	0	_aResearch methods
650	0	0	_aSearch engines
655		7	_aDissertation
710	2	0	_aRavensbourne College of Design and Communication
942			_n0
999			_c2496 _d2496