You will find that Semantic Search Engine Optimization has become a game-changer for SEO after reading our information on semantic search.
We have decoded Google’s Search Engine Classification System for search results of web pages ranking Page 1 in the Google SERP’s.
The results are profound for the future of SEO.
We have discovered Google’s search engine classification system which Google uses to organize and select it’s search results using a structured data mechanism.
Semantic search is not just another element of Google’s algorithm, it largely defines how information is organized in the Google Search Index, and therefore what web pages are returned for searchers queries.
This is ground-breaking information for SEO firms everywhere, and a true paradigm shift in how SEO’s should optimize web sites for Google rankings going forward. Semantic search classification is here, right now, today, in fact Google has been working on this search classification system and solving the problems surrounding it since at least 2003, including filing multiple patents on the solutions.
We know how Google structures it’s search classification system. We can prove how Google rewards web sites with Link 1, page 1 search positions when pages are semantically optimized. We can show you how the system works, and how to apply it to your own search engine optimization.
Our output is pure White Hat SEO knowledge that allows search engine practitioners to optimize their target search terms for higher performance and better Google rankings using semantically-powered keyword analysis and semantic search optimization techniques.
4 Steps To Understanding Semantic SEO
1. Understand Google’s Semantic Search Classification System.
2. Learn proper Semantic Search Analysis of Google search results.
3. Semantic Search Interpretation of your analysis for Google correlation.
4. Semantic Search Optimization of your site for optimum SEO performance.
We’ve done the hard work in searching, analyzing and understanding a series of Google’s search innovations including word disambiguation, bi-gram breakage, phrase-based indexing, keyword stemming, keyword co-occurrence, keyword and key phrase proximity, synonymous terms, word variations, word entities, acronyms, aliases and root synonyms
Semantic SEO Training Services
Visit Semantic Search Training Services or contact us to learn more about Google Semantic Classification and semantically-optimized search engine techniques that can power you to the top of the search engine rankings.
Semantic Search Engine Developments
In July 2010 Google acquired Metaweb, probably the largest semantic information company out there, and a business which has organized 12 million information subjects into a Semantic Classification System. Once you understand the Google semantic classification system and it’s importance to the future of Google Search, it’s a straight line to understand their acquisition of Metaweb which includes a team of people who have become experts in the classification of information.
Microsoft acquired Powerset and have integrated it’s semantic search technology into Bing, the Decision Engine.
Hakia offers 2 services presently for semantic search. Hakia.com uses a blended semantic search approach to deliver searchers results across the web, Wikipedia, Pubmed, news, blogs, Twitter, images and video all on one search results page. They also offer Enterprise Semantic Search.
Sensebot delivers a summary of searched results including a semantic cloud at the top of the results showing keywords and phrases with strong semantic relevance. Sensebot is powered by Semantic Engines LLC.
Cognition has developed a semantic map of the English language over 24 years of research. Cognition’s Semantic Natural Language Processing (NLP) adds word and phrase meaning and understanding to applications like Semantic Search.
Lexxe processes natural language queries and delivers search engine results in clusters by topic.
Swoogle is a semantic web search engine and metadata service provider focused purely on search results from semantic technologies.
Powerset describes itself as “a better way to search and discover information in Wikipedia articles”.
Kngine is a Web 3.0 Semantic Search Engine designed to provide customized meaningful search results such as: Semantic Information about the keyword/concept, answer the user’s questions, discover the relations between the keywords/concepts.
Evri brings you the latest stories on people and places and displays known connections between them.
Truevert.com is a vertical semantic search engine focused on Green issues. Enter a term like Carbon dioxide to see search results that include C02, global warming, greenhouse gas etc.
Google, the 800 lb. Gorilla of Semantic Search. Google does not use Latent Semantic Indexing to mine the web but has an increasingly sophisticated semantic classification system based on multiple search variables.
Recent article from Wired Magazine: How Google’s Algorithm Rules the Web