Sunday, August 21, 2011

DAO – Digital Asset Optimization

A digital Asset Search engine optimization (DAO) could be the natural advancement of Search engine ranking. SEO specializes in the text message files of a website, relying upon the search phrases within of which text along with tags. The net is will no longer a text-only environment, and search engines like Google are establishing.

DAO or Digital Asset Optimization is actually enormous section of Off Page SEARCH ENGINE OPTIMISATION. DAO means Optimizing valuable possessions for engines like Google and also consumers.

In essence, every digital asset you own needs to be optimized intended for Search Engines along with intended for consumers making use of the particular website’s research perform.

Articles, PR announcements, Anchor text, Blog Posts, Micro Sites, Photos, and in many cases the particular single profiles an individual create for social networking sites or maybe forums. Prior to anybody will start using DAO, they must execute a search term research.

A digital Asset Marketing is usually applied to various record types for instance REALLY SIMPLY SYNDICATION, MS Office, Flash, PDF, and many others too. Since DAO replaces SEARCH ENGINE OPTIMIZATION, corporations need to redouble search engine optimization techniques to almost all readily available press. Anything which can be indexed and listed can be optimized. Digital Asset Optimization may bring within targeted visitors that will not really have been searching for your business providers, but instead located your website with the picture of a keyboard set utilised to be a graphic.

Latent Semantic Indexing

Latent Semantic Indexing (LSI) is an indexing and retrieval method that uses a mathematical technique called Singular value decomposition (SVD) to identify patterns in the relationships between the terms and concepts contained in an unstructured collection of text. LSI is based on the principle that words that are used in the same contexts tend to have similar meanings. A key feature of LSI is its ability to extract the conceptual content of a body of text by establishing associations between those terms that occur in similar contexts.

LSI has been used in several ways. The most obvious and common way is to analyze the similarity between bodies of text. This can be used in dozens of interesting ways, from finding related documents in a group to doing paragraph-wise LSI to find site summaries. It can also be used to facilitate a "smart" search of your document space, and even do document categorization (read: SPAM filtering!)

Latent Semantic Indexing (LSI) is a new concept that Google has began to employ and pioneer. It was originally used in Google’s Adsense program, as a way of seeing which adverts would be the most relevant on a particular site. Google recently bought a company called Applied Semantics, in an effort to use LSI concepts and ideas in its search rankings, and many other search engines are beginning to follow suite.

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