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Friday 22 July 2011

Quality Writing is the Best way of Search Engine Optimization - SE Optimization

By Kelvin Tylson

While search engine optimization is essential for promotion of products and services or overall business online, quality contents could be the best tool for achievement of such objective.
Getting traffic to the website is only possible when the website is recognized by Google and other search engines. That is why good website construction combined with search engine optimization can achieve the desired results for the site. At the same time quality contents is perhaps the best component for any good web site constructions


Essence of Good Website


Usually competent SEO company knows the way of designing good website that would attract the search engine crawlers. Very often the contents on the website are meant for the eyes of search engine spiders and not human eyes.


Components of Quality Contents

Quality contents on the web normally contain the following components.


* One of the most important factors included in the quality content is the keyword density. Proper keyword density will help search engine spiders identify the website perfectly.
* Another important aspect of the quality contents on the web is identifying the key phrases.
* Quality contents should always contain updated information on any topic and should be updated regularly.
* Writing should be simple and easily comprehensible that would help search engine optimization effectively.


Writing Quality Paragraph

Initial paragraph of the quality contents should contain the target keywords or key phrases. In result it becomes easier for the search engine to identify the particular website through the keywords or key phrases. Ideal way for the optimization process is 7% keyword density. However, keeping more than 10 percent would result in the website being marked as spam by Google and other leading search engine. Usually the provider of seo services will try to keep the keyword density of the website contents within the specified limits but more often than not the key phrases work better than keywords in this respect.

Avoiding Spelling Mistakes

Quality contents on the web for search engine optimization are avoiding the spelling mistakes. Web pages to be highly accessible require that the contents do not have spelling mistakes and grammatical mistakes. Especially spelling mistakes in keywords or key phrases can spell disaster as the search engine spiders may not find the web page at all when keywords are keyed in by the web surfer.


About the author:

Kelvin Tylson is here to give you his own facts about SEO company and Google SEO. You're probably thinking, everyone says that, so, what's different here. It's the assurance of quality, genuineness, and a guarantee that values your time and interest.

Friday 8 July 2011

Web 3.0 Brings a New Wave of Startup Opportunities

By Effie Sha
What if your Google search for "Paris Hilton" listed your top result as the Hilton Hotel in Paris, because it knew your interests were not in the other direction? This is the current dream of Tim Berners-Lee, the man who invented the (first) World Wide Web.

He calls his dream "Web 3.0" or the "Semantic Web," meaning it understands user context. He and many other experts believe that the Web 3.0 browser will act more like a personal assistant than a search engine. As you search the Web, the browser records your interests in your local storage. The more you use the Web, the more your browser learns about you, and the more relevant will be your results.

Current advertising and public relations startups are already thinking along these lines in fields all the way from clothes shopping, art galleries, online advertising, to managing press releases. In some ways, these aren't that different from the old Amazon.com "recommendation engine," which suggests new products based on your surfing and buying habits, but they go much further.

Someday you will be able to ask your browser open questions like "Where should I take my wife for a good movie and dinner?" Your browser would consult its intelligence of what you and she like and dislike, take into account your current location, and then suggest the right movies and restaurants. If you are the first to deliver this, your startup can be the next Google success!

But some are skeptical about whether the Semantic Web - or at least, Berners-Lee's view of it - will actually take hold. They reference other technologies also trying to reinvent the online world as we know it, from 3D virtual worlds to intelligent avatars. Web 3.0 could mean many things, and most of the possibilities have not yet been invented.

The Semantic Web isn't really even a new idea. This notion of a Web where machines can better read, understand, and process all the data floating through cyberspace first surfaced in 2001, when a story appeared in Scientific American. This article describes a brave new world where software "agents" lead the way in performing Web-based tasks that elude most humans.

A current example is the GetGlue from AdaptiveBlue. If you visit a movie blog, and read about a particular film, it immediately links to sites where you can buy or rent that film. Another example is WolframAlpha, an amazing computational engine that went live recently, which creates intelligent results, graphs, and reports from any natural language question.

But we are a long way from agents that can do full natural language processing and think on their own (artificial intelligence). A recent startup, Alitora Systems, provides software to enterprises based on a natural language processing (NLP) engine.

It builds knowledge statements from unstructured media files - that's a particular challenge for the life sciences where high-value knowledge about many things, such as the relationship between genetics and disease, lies hidden within journal articles, research papers, clinical trial data, FDA websites, and even graphical data.

But extracting information from even less structured data such as Twitter feeds is a very different and sometimes more difficult knowledge extraction problem. The objective is the same; assimilating unstructured data, giving it some robust analysis, and offering the extracted knowledge across a collaborative network.

Just think of the fertile ground all this opens for startups! If you're looking for that "million dollar idea" to build a plan around, here is your chance. But don't wait too long, because the din for Web 3.0 is getting louder and louder. Catch the wave soon or it will pass you by!


About the author:
Senior Software Developer, working in RayooTech software outsourcing company, website: http://www.techomechina.com/