Cog Blog

I just found this blog post today on CODE-itch written by a “Biochemist and protein X_ray crystallographer” who found Cognition’s Semantic MEDLINE helpful.

A few searches later, I can definitely say the technology that drives “Medline Cognition” works and works extremely well.

On Code-itch’s About page, he writes:

Great software can enable great science and code-itch is my hope that I can participate in the process.

We agree and thanks for writing about Cognition.

NOTE:  You can also semantically search Wikipedia with Cognition’s Semantic NLP here.  Plus, semantically search Fed and Supreme Court Decisions from Public.Resource.org here.

Congratulations to Dr. Kathleen Dahlgren, Cognition’s CTO and Founder, Dr. Elizabeth Goldsmith, Dr. Saurabh Mendiratta, and Dr. Radha Akella of the University of Texas, Medical Center at Dallas, for having their paper entitled “Natural Language Query in the Biochemistry and Molecular Biology Domains Based on Cognition Search” accepted for presentation at the workshop on Intelligent Data Analysis in bioMedicine and Pharmacology (IDAMAP) 2008.

Dr. Dahlgren and the others will be presenting their paper at the IDAMAP conference on November 7, 2008.

For more information on IDAMAP, click here.

Popular Science wrote about us on their Web site.  They said:

By some definitions, “Web 3.0″ will be characterized by semantic mapping of data. Unlike regular searches which mine information based on keywords you type in, semantic search looks for information you want by connecting the meaning of words. Say, for example, you type in the word “cold.” The way search engines like Google and Yahoo run now, you would get results based on the word alone. But “cold,” like many words in the English language, is ambiguous and could mean anything from your health to the temperature. The semantic map would give computers the ability to understand words in context through tenses and sentence structure, much like the human brain. A semantic map released this week claims to teach computers the meaning of words with more than 10 million semantic connections.

Read their post here.

Engadget said it, we didn’t.

Cognition Technologies’ new Semantic Map lets computers — and, conceivably, evil robots — “understand” the English language in much the same way humans do, based on word tenses and context in a sentence. With this technology, a computer or search engine can understand virtually every word in the English language — for a vocabulary about ten times that of a typical American college graduate.

Read the full Engadget post here.

KillerStartups.com says it reviews 15+ Internet startups a day and lets their readers vote on which one they think will be a killer.

They reviewed Cognition Technologies and had this to say about us:

The future is promising for this site. If they manage to get the whole web indexed, this search system will make Google’s look like a toddler programmed it. In short, if you want to see what the future of searching could look like, then you have to give this site a try.

Vote for Cognition here.

Rafe Needleman of CNET wrote about Cognition:

Two companies recently pitched me on their semantic engines. These are not search engines, which is what most people think. Rather, they are databases and algorithms that hold the structure of language (in both cases, the English language). At the most basic level semantic engines tell you what’s synonymous with what. At the advanced end of the spectrum they know how grammatically similar phrases like “take a seat,” “take a stand,” and “take a lollipop,” mean completely different things.

Read the full article here.

Agence France-Presse (a global news agency) filed a great report after interviewing Cognition CEO, Scott Jarus.

Here’s a snippet:

“We have taught the computer virtually all the meanings of words and phrases in the English language,” Cognition chief executive Scott Jarus told AFP.

“This is clearly a building block for Web 3.0, or what is known as the Semantic Web. It has taken 30 years; it is a labor of love,” Jarus said.

The semantic map is reportedly the world’s largest, and gives computers a vocabulary more than 10 times as extensive as that of a typical US college graduate.

The coming third generation of life online is predicted to feature intuitive artificial intelligence applications that work swiftly across broadband Internet connections.

Read the entire article here.

Thanks to sCommerce.com for writing about Cognition:

Many claim that when the Web 3.0 “intelligent Web” revolution arrives, these minor inconveniences will become relics, as will a strict dependency on keyword search and SEO linking as we know it. Cognition Technologies moved us closer to the Web 3.0 threshold with the recent launch of its next-generation Semantic Natural Language Processing (NLP).

Read the whole post here.

Daniel Nations of About.com Web Trends says:

Many believe that the semantic web is the cornerstone to Web 3.0. While I think it’s a bit too early to define the next generation of the web (we tend to do a better job defining generations after the fact), the semantic web is a key tool for an increasingly difficult problem: how to find the right piece of information on a web that is being flooded with new information every day. And a comprehensive semantic map is the key to building a semantic web.

We couldn’t agree more!

Read the full article here.

David Chartier of Ars Technica spoke with Cognition CEO, Scott Jarus, and filed this great report about Cognition. Here’s a snippet:

Semantic search is widely hailed to be “the next thing” by everyone from the creator of the Internet to social media nerds who toss around the phrase “Web 3.0″ when the definition of 2.0 is still up in the air. While companies like Microsoft are purchasing innovative startups to get a leg up on the semantic game, (not-so) newcomer Cognition has announced that it has the “world’s largest semantic map of the English language with more than 10 million semantic connections.” We chatted with Cognition’s CEO, Scott Jarus, to find out what exactly his company hopes to do with all this next-gen information.

Read the entire article here.