Roy Schestowitz wrote:
> __/ [Noticedtrends] on Thursday 13 October 2005 21:50 \__
>
> > Can inference search-engines narrow-down the number of often irrelevant
> > results, by using specific keywords; for the purpose of discerning
> > emerging social & business trends?
>
>
> Yes, but I guess it was rhetorical or maybe the question was intended to ask
> if engines 'in the wild' are capable or are doing this.
>
>
> > For example, if authors of content subconsciously mention the keywords
> > "lately and noticed" within the same brief sentence, the reader may
> > infer "an unintended message" through the process of "inferential
> > scanning;" a method of noting "semantic anomalies" which may
> > signal emerging trends.
>
>
> I have been thinking about such concepts when registering http://iuron.com a
> few days ago. There is not much use of any semantics, yet.
>
>
> > Note: The wildcard character asterisk "*" is important for two
> > examples:
> >
> > -- In the current month and year, the wildcard character "*"
> > represents a specific date. In quotations: "October * 2005" infers
> > content that mentions the current month and year. Yet, search results
> > also include older content.
>
>
> The problem with much of the content on the Web is that even dates are
> hard-coded in unnatural ways. As oppose to XML, standardised metadata or
> the like, dates are embedded as standard content, unlike LaTeX, for
> instance.
>
>
> > -- Search terms in quotations with the wildcard character "*"
> > indicates two words NEAR each other: "lately * noticed." This type
> > of search is excellent for trend spotting.
>
>
> What would be the intended practicality? Use tags in Technorati, for
> example, to spot trends. Tagclouds come to mind too. They feeds on plenty
> of fresh RSS'd (XML, hence time labelled) content.
> Initial search queries in most search-engines recognize the wildcard character "*" within two keywords in quotations -- very-much like the Boolean NEAR; locating examples of keywords very close to each other. Same applies for current month, wildcard chacrater, & year. Search-engine results note "..." within text if keywords don't match month, any date, year.
Any considerations for applying NEAR search options in most
search-engines?
>
> > -- Search results are further narrowed-down by an astounding 80-90% by
> > excluding such words he, she, me. After all, content which may signal
> > emerging trends usually doesn't contain 'he, she, me.' Certain
> > pronouns usually indicate personal accounts of individuals; rather than
> > the "collective conscious" of people & businesses developing into
> > emerging trends.
> >
> > -- Examples of links offer plenty of ideas for experimenting with
> > different combinations of keywords. To narrow-down searches further;
> > the addition of keywords mentioning specific industries, occupations,
> > businesses, people, places, culture, etc. can discern developing
> > trends.
> >
> > There are many examples of keywords useful for trend-spotting. Five
> > examples:
> >
> > -- Lately and noticed example.
> >
> > <LONG URL>
> >
> > -- Noticed lately is another variation.
> >
> > <LONG URL> >
> >
> > --'Lately and become' OR 'lately and becoming' can yield
> > "important developments" to watch.
> >
> > <LONG URL> >
> >
> > --'People have become' OR 'people are becoming' may infer
> > emerging developments from social points of view.
> >
> > <LONG URL> >
> >
> > --'Trend toward' AND 'becoming more' are one of the first
> > examples of keywords I developed for trend-watching.
> >
> > <LONG URL> >
> >
> > Entering in keywords which may infer content signaling the emerging
> > business & public zeitgeist yields a wide variety search results. In
> > quite a few cases, search results don't necessarily have value e.g.,
> > individual opinions which don't necessarily indicate emerging trends.
> > In some cases, search results yield specialty websites that are
> > fee-only and even restricted access content. Usually, content which may
> > be interpreted like "a crystal-ball of sorts" is free.
> >
> > Any recommendations for marketing an "inference-like"
> > search-engine?
> >
> > Thank-you
>
>
> I like your direction of thoughts, but I think you must go farther than that
> in order to make it viable or marketable. I am currently looking into
> similar idea and may soon speak to one of the fathers of the semantic Web.
> I truly believe it's where we all are headed.
>
> Roy
>
>
> --
> Roy S. Schestowitz | Useless fact: Women blink twice as much as men
> http://Schestowitz.com | SuSE Linux | PGP-Key: 74572E8E
> 3:45pm up 50 days 3:59, 3 users, load average: 0.13, 0.12, 0.09
> http://iuron.com - next generation of search paradigms
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