Powerset, a company pioneering natural language technology, has launched its publicly available beta product that reinvents how users search and discover information from Wikipedia. Powerset's natural language technology is based on patents licensed from PARC (formerly Xerox PARC) and Powerset's proprietary research. The technology, which can be applied to any topic and any domain, reads and extracts meaning from every sentence in Wikipedia. Unlike traditional search engines, which look for words, Powerset matches the meaning of the user's query to the meaning of sentences. It currently searches over 2.5 million Wikipedia topics in English and for many questions, Powerset returns answers from Freebase, an open, shared database of the world's information.
When users enter a topic query, Powerset assembles a compact summary of 'Factz', extracted from pages across Wikipedia. It creates a summary of information found in Freebase and Wikipedia to give users a quick overview about a topic. The most relevant search results are highlighted based on the meaning of a user's question and a result can be expanded to show the snippet in the context of the full Wikipedia article.
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