Latent Semantic Indexing - Introduction
Latent Semantic Indexing (LSI) is an algebraic
model of document retrieval based on co-occurrence clustering of terms and the identification
of documents associated with these term clusters. It is one of the most sophisticated
modern attempts at high quality automatic indexing.
Latent Semantic Indexing (LSI) means that a search engine tries to associate certain
queries or terms with concepts in terms of indexing web pages. For example -Tiger
and Woods are associated with golf.
Latent Semantic Indexing (LSI) assists search engines to find out all information
of a web page or what a web page is all about. It basically means to you that you
shouldn't focus on a single keyword when optimizing your web pages and when getting
links.
The web pages on your web site should be related and focus mainly on a special topic
while using different words that describe the topic. Use variations of your keyword
and synonyms. That makes it easier for search engines to determine the topic of
your site.
Google uses concept of latent semantic indexing in its ranking
and indexing algorithm and it is not recommended to focus only on a single keyword,
but focus on a set of relevant keywords with your search engine optimization campaigns.
Also it will be better to optimize some of the pages on your web site for keywords
that are synonymous of your main keywords.
Read more SEO Articles offered by WebExcel Solutions below
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Engine Optimization (SEO) Basics, Search Engine Optimization (SEO) Tips, Search Engine Optimization (SEO) Hats, Search Engine Optimization (SEO) Errors, Latent Semantic Indexing (LSI), Software Marketing Techniques, Static Pages Vs Dynamic Pages, How Google, Yahoo, MSN Create Meta Description,
Seo Friendly Naming Conventions: Underscores and Dashes
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