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SEO Confusion
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Hi All
I agree to the point and want to add something
As you must be aware of the semantic web, to make the site semantically strong, we make use of other words related to the keywords in Anchor Text, Alt Text, in Content etc, so as to make it semantically strong.
You need to find and incorporate the semantically closer words to your content. This will help user to not only search for your specific keywords but also for the related words.
I hope my point is clear.
Thanks
I agree to the point and want to add something
As you must be aware of the semantic web, to make the site semantically strong, we make use of other words related to the keywords in Anchor Text, Alt Text, in Content etc, so as to make it semantically strong.
You need to find and incorporate the semantically closer words to your content. This will help user to not only search for your specific keywords but also for the related words.
I hope my point is clear.
Thanks
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Join Date: Oct 2005
Posts: 72
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Hmmmmm.. yes. Semantics. Scientific American says: By augmenting Web pages with data targeted at computers and by adding documents solely for computers, we will transform the Web into the Semantic Web.
The situation here is such that you're not optimizing your pages for computers. You're making web pages for people. People will enter keyword phrases into the search bar and the search engine will find the most relevant pages according to it's algorithm and present them in order starting with the most relevant. You need to target specific keywords that you think your perspective customers will use to find you. "Web hosting" is a pretty competitive phrase so you need to use a sharpshooter's rifle instead of a shotgun. Don't go for more than a few phrases per page when optimizing or you will likely dilute your effort. In your link text use those few targeted phrases only. (One phrase per link text) Link text keywords, like titles, can also be diluted so don't make them too long and involved. For more keyword phrases use more pages.
The situation here is such that you're not optimizing your pages for computers. You're making web pages for people. People will enter keyword phrases into the search bar and the search engine will find the most relevant pages according to it's algorithm and present them in order starting with the most relevant. You need to target specific keywords that you think your perspective customers will use to find you. "Web hosting" is a pretty competitive phrase so you need to use a sharpshooter's rifle instead of a shotgun. Don't go for more than a few phrases per page when optimizing or you will likely dilute your effort. In your link text use those few targeted phrases only. (One phrase per link text) Link text keywords, like titles, can also be diluted so don't make them too long and involved. For more keyword phrases use more pages.
Web pages are optimised for search engines so that they rank our pages on top for people to see.
In today’s traditional search approach, when a user types a keyword for searching, the search engine searches through its collection of document for the typed keyword, it checks for the exact typed keyword in all the documents and returns only those documents which contained it and ranks it on some ranking algorithm.
Words which are same in meaning but spelled out differently would be totally ignored in the Search results (SERPs.) Plus the results retrieved would have 50% sites which are totally irrelevant to the search query.
To address this important issue of presenting only relevant search results, Latent Semantic Indexing or LSI was proposed as a new improved method of retrieval system.
In today’s traditional search approach, when a user types a keyword for searching, the search engine searches through its collection of document for the typed keyword, it checks for the exact typed keyword in all the documents and returns only those documents which contained it and ranks it on some ranking algorithm.
Words which are same in meaning but spelled out differently would be totally ignored in the Search results (SERPs.) Plus the results retrieved would have 50% sites which are totally irrelevant to the search query.
To address this important issue of presenting only relevant search results, Latent Semantic Indexing or LSI was proposed as a new improved method of retrieval system.
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