Says Tellefsen, "Rather than using keywords or basic entities to search through billions of documents, NetBase can actually read and extract linguistic meaning from entire sentences and concepts." According to Tellefsen, healthBase can determine causal relationships, treatments and conditions and automatically aggregate that data into meaningful answers. Given the fact that more than 75% of the population seeks out online health information, a semantic tool with sentence-level understanding can potentially help dispel medical myths on a massive scale.
NetBase employs the same principals across a variety of enterprise tools, but healthBase is its first foray into consumer-facing products. While the company is used to powering corporate, federal and market research, healthBase allows NetBase to show off its content intelligence tool in a way that gives us insight into our selves and our bodies.
Because NetBase is not reliant on manual annotation or custom taxonomies, the system is also very scalable. It took roughly 2 days to produce all of the data in healthBase - a feat that would never be possible by a combination human and machine system.
"It's important for us to address real issues with semantic technologies outside of a lab," Says Tellefsen. To try healthBase visit healthbase.netbase.com
Because NetBase is not reliant on manual annotation or custom taxonomies, the system is also very scalable. It took roughly 2 days to produce all of the data in healthBase - a feat that would never be possible by a combination human and machine system.
"It's important for us to address real issues with semantic technologies outside of a lab," Says Tellefsen. To try healthBase visit healthbase.netbase.com
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