Categories: Internet, Semantic Web, Software, Software Development, Software Engineering, Web 2.0, Web-based
Building the next generation of the web data graph where relevant information will be less searched for, but more organically found in context
LinkedWords (LW) is an innovative contextual platform built upon millions of English words and phrases organized into contextual categories, paths, pages and URLs using basic semantics whose mission is to maximize contextual linking among web sites across the Web.
By using strategic linked words to connect millions of web documents and content areas to each other on contextual, meaningful and relevant principles, LW is helping web sites become more visible and be found in context on Web while linked in sites are efficiently sharing targeted communities, users, visitors and reach to potential clients all for free.
LW’s ultimate mission is to build the next generation of the web data graph where relevant information will be less searched for, but more organically found in context while both web sites and common users will then be still relying on, but be less dependent upon today’s search engines.
The Problem it tackles
With the rapid increase of the number of web sites (over 100M*) and so does the cost of indexing and classifying them there will be more and more web information (possibly billions of pages) that will simply be left in the darkness (the invisible web) where neither algorithmic robots nor people will find it.
Having more relevant sites on Web linking to your site is known to be effective for staying visible in tomorrow’s web, but just like with today’s mass search engines already struggling to keep it up with the ever growing amount of information on Web the situation with small to mid level sites seems even worse when trying to have third party sites link back to them, let alone in context. Even for sites that think they are successful in obtaining links from third party places the natural limitations are still in place and unless they are top brands or already popular on web their chances of having more than 100 sites linking back to them are very slim and it would take them years to achieve that.
The Solution
Today’s social networking sites are effectively optimizing your contacts and connections with relevant people in your life, helping you reach to and stay connected with more family members, friends, colleagues and experts from within your professional life, altogether and in a larger scale (you can establish endless number of connections) instead of you doing it on your
own. Contextually linked in people are efficiently sharing targeted information, ideas, knowledge, opportunities and reach to potential clients all for free.
LinkedWords does the same for your web site’s information - maximizing the contextual linking for it with relevant sites helping you reach to and stay permanently connected with more content areas with the same context, altogether and in a much larger scale (you can establish endless number of contextual links**) than what you would potentially be able to do on your own. All this results in your website becoming more visible for smart robots and be found in context by humans on web. Contextually linked in sites are efficiently sharing targeted communities, users, visitors and reach to potential clients all for free.
* Data 2005 -> news.bbc.co.uk/2/hi/technology/4325918.stm
* Data 2006 -> edition.cnn.com/2006/TECH/internet/11/01/100millionwebsites
** Depends on the number of content areas your site has (e.g. a site with 2000 pages can possibly create up to 6000 contextually linked words that can potentially connect that site to 600,000 [6000 linked words result in 6000 contextual listings at LinkedWords and each page with contextual listings at LW can contain 100 relevant listings on average from other sites] relevant content areas across the web while site with 1M pages can possibly have at least 3M contextual links in LW that can potentially connect to virtually endless number of relevant content areas across the web)
Via EPR Network
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