Though still arguably in its juvenile stages, the online advertising market has already been through several major technological shifts, with the introduction of behavioral, contextual and demographic targeting for ads. What’s next has been a subject for debate. Several early pioneers have bet that it’s semantic technology, with a company called Peer39.
In stealth mode for the last two years, Peer39 has begun slowly unveiling its product. Like other companies based on semantics and natural language processing, Peer39 claims its software, SemanticMatch, can read content in a way that roughly parallels human understanding.
Where for an advertiser like Coca-Cola, Google would find keywords like “cola” to bring up its ads, and other schemes would look at the age or location of web users, semantics take a more holistic look at a web page, determining the overall subject and tone.
Where keyword advertising might insert an ad because “cola” is used several times on the page, even if the overall topic is unrelated or the writing it negative to cola, semantic technology claims to be able to tell if an ad is really appropriate to the content.
Because of that, Peer39 could be useful for content that changes often and unpredictably — some examples being blogs, forums, news, and especially social media, which I speculated was the company’s target last year. User-generated content has been a particular challenge for advertising networks, so if Peer39 can prove SemanticMatch is effective, it’ll have its work cut out for it. To help prove itself, the company also has a a set of analytical tools based on semantic mapping, which help correlate ad placement to conversion and click-through rates.
It’s likely we’ll see some fast development in this space over the next year or two. Some have been speculating that Microsoft intends to move into the space after we broke the story that it plans to acquire semantic search company Powerset yesterday. Google, also, has been toying with its algorithms, though it’s as tight-lipped as ever. And other companies, like Ad Pepper Media, also say they’re developing semantic ad targeting.
While there seems to be enough money sloshing around for the best contenders to all get a piece, there are enough changes in online advertising, as well as mobile, to keep everything uncertain. VentureBeat contributor Julie Ruvolo wrote a lengthy piece about the view from Madison Avenueearlier this year that’s worth a look.
Peer39’s firepower comes from a set of executives and board members with backgrounds in either semantics or advertising. CEO Amiad Solomon sold a company called IDX to GE, while COO Matthew Goldstein just moved over from advertising giant Tacoda. Another former Tacoda Exec, Daniel Jaye, is on the board, along with Eytan Elbaz, who helped invent Google AdSense and sold Applied Semantics to the search giant.
The New York-based company has taken almost $12 million to date, between an $8.2 million funding we reported in October and a round of over $3 million earlier in the year. Its backers includeCanaan Partners, Dawntreader Ventures and former Shopping.com CEO Daniel Ciporin.
A flurry of reports yesterday suggest that Twitter 
TheRarestWords then tries to tap into crowd intelligence by letting anyone add a 100-character definition for each keyword, which could give it a semantic edge in trying to categorize each site. This could also be gamed pretty easily, but this looks to be just a Web project at this point. It could also be used to create a Wiki dictionary like
