OntoSearch

Ontology Search Engine

Bing back my Baby to me ? Microsoft to enter the race for more sophisticated search on the internet

November 24th, 2010

Admin

Bing back my Baby to me – Microsoft to enter the race for more sophisticated search on the internet

In the last few years we have seen several companies and research institutions take up the battle on information flow on the internet and convert it into useful knowledge for the users around the world.

Google became in a short period of time the market leader of search engines and through its business model, creates a healthy return to its stock owners. However, things are changing on the internet. Users are changing as well, as they become more sophisticated and more demanding of what they want from the internet. This will require some development in how we do searches as well. Search for knowledge either its personal or corporate interests, has challenges as it stands today.

Companies are in need to do more sophisticated knowledge hunt in order to satisfy their business intelligence needs, and individuals are in quest for knowledge in areas like medicine, travels and other personal matters.

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Yebol Founder Discusses the Future of Search

November 24th, 2010

Admin

San Jose, CA–Yebol is a general “decision” search engine that has developed a semantic search platform. Yebol’s artificial/human-infused intelligence algorithms automatically cluster and categorize search results, web sites, pages and contents that it then presents in a visually indexed format that is designed to be more alligned with initial human intent. Yebol applies association, ranking and clustering algorithms to analyze related keywords, categories and web pages. Yebol presents as one of its goals the creation of a unique “homepage look” for every possible search term.

Yebol says it aims for absolute relevance and eliminating the need for refined, secondary, or advanced search steps, as currently required by Google, Yahoo! and others. Yebol sees the Future of Search as being very different than today’s current Pay-Per-Click dominated model. Its public beta version launched July 27, 2009, at which time Yebol announced that it covered in excess of 10 million search terms with its current knowledge-based search/organized results format. In fact, Yebol says its main distinction is its verticality (versus the horizontal nature of today’s major indexing search engines). Like all engines, Yebol uses “a recursive procedure in which an automatic problem solver seeks a solution by iteratively exploring sequences of possible alternatives.”

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Search Engine Optimization And LSI: The Truth

November 24th, 2010

Admin

Many people are confused by search engine optimization and LSI. What is LSI and what has it to do with SEO? In fact nothing. That’s right – nothing. Zilch. Absolutely nothing whatsoever. So why all the fuss? Through ignorance and possible subterfuge.

LSI stands for Latent Semantic Indexing, a term that has no meaning whatsoever. There is a term called ‘latent semantic analysis’ that is the analysis of the hidden meaning of text and its explanation by means of an analysis of the way that other words in the passage are used. The code for each letter in a word is analyzed, and the word thereby identified. There are certain known juxtapositions of certain words that provide a meaning to these words, although all may not be what it seems.

For example, is I ‘bought an apple’, did I buy a computer or a piece of fruit? That only becomes apparent when the rest of the semantics of the passage is analyzed. The word semantics means the meaning of words in the way that they are used. For example: “I bought a dog lead for my German shepherd” indicates that the German shepherd is a dog, and not a Teutonic gentleman looking after sheep. It is the rest of the semantics in the text that makes it clear what the term means.

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