In my previous posting, I mentioned about suggestions for a community based searching algorithm. Perhaps, it's now time to create better and more intelligent search spider algorithms. A search spider eventually sent out can learn the lexicon patterns of webpages and then look for similar pages. The spider is able to constantly update its vocabulary of lexicons should it trawl webpages with new terminologies. It will then be possible to search out the whole gamut of webpages that includes newer versions of the webpages and formerly defunct webpages. Treat the search spider as a predator that learns the language of the prey. It will be good if we can get a search function that chronicles the evolution of a homepage, from its early days to present times. It should be able to search out a community of webpages.
It will be much more convinient to use this search spider algorithm in a gene and protein database like NCBI. We can search the entire database and charter the course of evolution at the genetic and proteomic level.
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