hakia + Yahoo! Search BOSS Integration
In response to the recent announcements, we have received a number of inquiries about the integration of Yahoo! Search BOSS to hakia. While most press articles did not speculate, some blogs had incorrect explanations. To clear the air, we will explain this integration using a simple diagram as shown below.
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First, all yellow boxes indicate various levels of Semantics (Ontological Semantics) rendering into the search results which is continuously increasing as hakia analyzes more Web pages.
hakia’s standard operation is depicted by steps 1, 2, 3, and 4. The back-end operation 5, 6, and 7 fills the result content. In step-5, hakia crawls the Web exhaustively and/or focusing on selected (credible) Websites. In step-6, QDEXing operation (hakia’s proprietary indexing system) takes place with OntoSem rendering.
Yahoo! Search BOSS integration is depicted by the steps 1a and 1b. The main interest in hakia is step-1a where the on-line query produces Yahoo index results, which are then filtered by hakia to identify credible Web pages to crawl for semantic analysis. This is hakia’s “evolution” path where QDEXing follows users’ queries. In one respect, hakia gets better in subjects that are in the interest of its users. Step-1b is also available for image search and backfilling if necessary. Regardless, all results accumulated in the dynamic pool go through hakia’s SemanticRank algorithm, as shown in Step-3.
The rate of QDEXed content assisted by Yahoo! Search BOSS will reach a saturation point in time because most credible pages will have been QDEXed already. Recently, we have deployed a statistical measurement system to measure the overall effect, which will be announced later.
Yahoo! Search BOSS is an opportunity for innovators to focus on what they do the best. We think it is one of the best initiatives launched in the search market in recent years.
