by Angela Guess

According to a recent press release, “Cognonto, a new start-up in knowledge-based artificial intelligence (KBAI), announced today the dual release of its Cognonto Platform and KBpedia, a computable knowledge structure to automate much of the effort needed for machine learning. KBpedia leverages six large-scale knowledge bases — Wikipedia, Wikidata, GeoNames, OpenCyc, DBpedia and UMBEL — into a single structure expressly designed to support artificial intelligence (AI) within enterprises.”

Michael Bergman, a co-founder of Cognonto, commented, “Many of the AI advances in recent years, such as question answering on smart phones or systems that beat human contestants in Jeopardy, are built around Web knowledge bases like Wikipedia… But these are one-off systems that only the largest tech firms or research outfits can afford… The idea behind Cognonto is to democratize this process such that any enterprise can afford to train their own machine learners or gain the advantages of knowledge-based artificial intelligence.”

The release continues, “KBpedia combines the hundreds of thousands of concepts and 20 million entities in its source knowledge bases in a structure that separately captures entities, attributes, relations and topics, the types by which they are categorized, and the connections between them. One innovation of the system, according to Bergman, is the schema, or “knowledge graph,” that organizes KBpedia according to the logic of Charles Sanders Peirce, a noted 19th century American mathematician, philosopher and polymath.”

Read more at Business Wire.

Photo credit: Cognonto