Latent Semantic Indexing
Wildnet Technologies, a Delhi based LSI SEO company offers well written web page content using the latest and most highly approved process of Latent Semantic Indexing. In keeping with the changes in search engine algorithms we use this innovative Google algorithm is all the SEO processes we carry out. Use of our LSI based SEO processes has resulted in improving the ranking of our clients' websites significantly. To understand the stupendous advantage LSI brings to a web page it is important to understand the process.
What is Latent Semantic Indexing?
The
Internet is like a limitless library on any topic. Unfortunately the
quality and usefulness of content varies just as widely too.
Further it is a disorganized collection of information. Search engines
are increasingly used by Internet users to retrieve any information of
value or relevance to their search. Over the years the use of relevant
keywords or key phrases has been the standard way of locating
information from the web with the use of search engines. Search engine
then retrieve pages which contain these key words, ranking them
according to keyword usage and quality of content. Though this is
effective in giving the appropriate pages according to the given
keyword, this method has its drawbacks. Latent Semantic Indexing is a
quantum leap from this accepted method of retrieval of information from
the Internet. In many ways the Latent Semantic Indexing or LSI is like
a super efficient librarian who has brought in precision, order and
easy recall into the limitless library.
Wildnet Technologies' Latent Semantic
Indexing considers many factors that conventional key word based
searches do not. It functions rather like a human being would when
looking for information about a topic in a library. As a result of this
search engines using LSI give more complete and relevant information
irrespective of the key word used. Increasingly Latent Semantic
Indexing or LSI is used by leading search engines to evaluate the
content of web pages for relevance and information. As a result now
search engines are more like a structured library with a huge
capacity to recall, ability to give the most precise and relevant
results with an excellent sense of ordering.
Latent Semantic Indexing was first
introduced by Google after one of their significant acquisitions. In
2003 Google acquired Oingo, now renamed Applied Semantics, who were
innovators and leaders in managing and processing content, especially
semantic text processing. Since then Google has given increased
importance and value to their CIRCA technology. Patented by Applied
Semantics, this technology can dig out, recognize and organize
information available on the Internet in a manner that is similar to
the working of the human brain. As a result of this innovative Google
algorithm relevant information is gleaned from websites and organized
in the manner that the human mind would do it. Artificial Intelligence
was thus applied for the first time in the working of the search
engine. Google updated its crawler program with the introduction of LSI
and search results thus can give more information that is relevant to
the context of the search on its first page.
