Kngine (a recently emerged search engine) is developing a “next-generation search” — the idea being that the technology will try to “unpack the meaning of concepts rather than simply indexing all pages and ranking them according to its own index”.

At the foundation of this new search is the word with its colourful spectrum of meanings — the term “query” is no longer relevant; “concept” has replaced it. According to developers, Kngine contains over 1.2 billion data fragments about more than 8 million concepts.

A group of Egyptian developers is aiming to build a search engine that meets Web 3.0 standards and uses the latest web search, semantic search, and data presentation technologies.

To get the most suitable result with several options related in meaning to the core concept, the user needs to type the right query. The narrower the query, the fewer related concepts Kngine returns. Currently Kngine produces the best results for questions requiring statistical data organisation — for example, the query “5 coal-importing countries” produces a genuinely useful results map, and “Google acquisitions” returns a full list sorted by time, plus additional statistical and financial data.

The fact that Kngine pulls web search results from Google allows the search engine’s syntax to be used in Kngine. While this narrows semantic search capabilities, it allows searching within a specific country or domain.