What Are Fractals?

Fractals are repeating patterns found inside random sequences. They’re well-known in arithmetic and physics. Examples embrace the Mandelbrot Set, the Julia Set and Quantum Physics. Fractals additionally play a outstanding function in modern mathematical and bodily theories similar to Chaos Concept and Godel’s Incompleteness Theorem.

Predictable patterns arising out of seeming randomness have additionally been found in learning DNA strands, in oracles such because the I Ching and Tarot, and in pure phenomena similar to snowflakes, diamonds and crystals.

What Is Semantics?

Semantics is the department of linguistics coping with the construction and nature of that means in language. Semantics entails noun-verb combos, word-order, the that means of punctuation and theories of interpretation. On a extra refined degree, semantics offers with the basic buildings of the mind that perform to assemble that means from vocal utterances.

What Is Fractal Semantics?

Due to this fact, fractal semantics – as I at present perceive the time period – pertains to repeating, predictable patterns discovered inside the way in which we derive that means from strange language. Though meaning-assignment could appear arbitrary (e.g., we might have simply as simply positioned verbs earlier than nouns in easy sentences) there seems to be a predictable algorithm – a definable logic – to the way in which that means is derived or assigned. Search engines like google and yahoo (“SEs” for brief) should “perceive” these fundamental semantic guidelines with the intention to ship question outcomes which might be related to the searcher’s meaning-intentions.

Fractal Semantics & Search Engines

So what does fractal semantics must do with search engine marketing? Properly, I haven’t got a full understanding but, however it seems that SE algorithm programmers are at present making an attempt to program serps to “perceive” language in methods which might be nearer to the way in which strange people truly perceive language.

For instance, take the phrase “Kentucky Fried Hen.” To the strange individual, that phrase refers back to the in style quick meals chain. Nonetheless, serps do not “assume” the way in which strange people do. A search engine has problem figuring out whether or not the phrase means “Kentucky Fried Hen” (the fast-food chain) or “fried rooster (in) Kentucky.” In consequence, an end-user trying to find “fried rooster in Kentucky” might obtain search outcomes for “Kentucky Fried Hen.”

Fractal Semantics & Info Retrieval Science

This instance highlights the divide between human and machine language. As SEs start to “assume” extra like people, they’re getting higher at vital components similar to word-order, reputation, prepositional placement and the way this impacts that means, and co-occurrence of phrases.

Briefly, SE programmers are working towards making SEs assign that means to phrases and phrases a lot in the identical method that strange people do. Different examples embrace colloquialisms, slang and accounting for variations in that means that completely different languages assign to the identical phrases. If serps can course of language equally to the way in which we do, then in concept the science of data retrieval will change dramatically. Such vital analysis may also change or increase the present strategies and requirements which web optimization specialists make the most of.

Linearization: A Semantic Net Approach

Linearization is a time period I discovered from Dr. E Garcia in his wonderful article titled, The Key phrase Density of Non-Sense. In that article, Dr. Garcia explains the method of linearization. I commend the article to your studying. Whereas I am unable to go into an excessive amount of element right here, the fundamental concept of linearization is that this: to rearrange your key phrases, hyperlinks an related textual content in a method that makes it straightforward for search engine spiders (1) to find out precisely what your website is about and (2) to learn and perceive the web page’s content material. Briefly, this course of entails analyzing and revising the noun-verb relationships, grammar & syntax of the content material as soon as it’s lowered right down to its naked components.

So, I did an experiment. I linearized my homepage in accordance with Dr. Garcia’s suggestions. As an web optimization skilled, I by no means take anybody’s phrase for his or her claims; I all the time strive them out myself earlier than endorsing or rejecting them.

Outcomes

The outcomes of linearization had been fairly spectacular – even startling.

• First, I seen, in solely every week, that my homepage elevated one web page rank level. That by itself can be sufficient to validate linearization methods.
• Second, I seen web page rank will increase on deep pages.
• Third, I seen that a few the newer pages that had been greyed-out (i.e., Google didn’t belief them sufficient but to assign any web page rank) had been now gray not; they now report PR 0. Lastly, I seen dramatic will increase in total search engine rankings for key phrases. Wow!

My subsequent experiment is to do some managed multi-variate testing to find out exactly how a lot linearization (the L-Issue) is contributing to go looking engine enhancements.