Technology
NetBase Understands the
English Language
Next Generation Search
"Such a taxonomy-agnostic approach opens up discoveries not possible when one must first define all appropriate related terms. It also keeps the cost of maintaining the search index low as there's no need to constantly update taxonomies along the way."
Ned May,
Director & Lead Analyst
Type a word or phrase into a traditional search engine and you’re likely to get hundreds of thousands of results. A keyword-matching algorithm decides which results to present at the top of the list; you then have to click into each link to find out whether or not the document contains something relevant to your search. You might be able to narrow the list by adding more keywords, but chances are that only a superhuman effort will get you the answer you want. How do you make sense of it all?
In contrast, NetBase has next-generation semantic technology that truly understands the English language. It reads full sentences and parses their content according to millions of linguistic patterns. This step uses the “connective tissue” of the sentence to identify relationships between concepts that:
- Surface facts and events, behaviors
- Detect emotions
- Infer connections
- Determine reasons
- Recognize people, products, and companies.
- Find the “why”
We then preserve that meaning in a special index.
The strength of NetBase’s approach is that it is based on language understanding, not on custom, hard-coded taxonomies and rules. That’s why the technology works on content crossing a variety of industries and disciplines, with no or little configuration. It can scale to petabytes of information across public and private sources.
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ARF Meets with NetBase CEO Jonathan Spier