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SRIT develops algorithm for contextual search

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Bangalore May 10 "You are a diabetic and your leg gets infected... what's that word?" You snap your fingers and turn to your colleague for help. "Gangrene" - that's the answer you were hunting for.

Your friendly desktop search engine would not be able to give you the answer, though. At least not anytime soon.

Contextual search is still a few years away, but Bangalore-based Sobha Renaissance Information Technology (SRIT) is working to get search beyond keywords.

"Currently, search engines expect users to know what they are looking for. What if they don't?" asks Mr Syed Yasin, an R&D project lead at the firm.

He constructed the Latent Metonymical Analysis and Indexing (LMai) algorithm, which is capable of identifying the relationship between words automatically. This can be overlaid on a search engine to make it smarter.

Context-based search is supposed to be the future of next-generation search engines, where the user would look for information and get exactly what he is looking for, plus related information.

LMai can be used with any typical search engine and adds context-based search to it. It connects as a plug-in. The company has filed an international patent for it and is looking at options for distributing it.

It could either be licensed or marketed online. The firm will not set up a search engine based on LMai as there are no plans to digress from its core competency of research.

"Inorganic growth is part of the company's strategy," said Mr Madhu Nambiar, Managing Director and CEO.

It recently acquired two solutions from Bangalore-based Tranquil Solutions and telecom software division OSI from Agilent Technologies.

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