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July 31, 2008 10:16 AM PDT

Radar Networks readies new release of Twine

by Dan Farber
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In March, Radar Networks launched Twine, an application that organizes information and connects people, places, companies, products, Web pages, videos, and photos. Along with Metaweb's Freebase, Powerset (sold to Microsoft), Hakia, Reuters' Calias, AdaptiveBlue and a few other start-ups, Radar Networks is trying to crack the code on building a piece of the semantic Web.

In a Times Online article, Web creator Tim Berners-Lee gave an example of how the semantic Web would work:

"Imagine if two completely separate things--your bank statements and your calendar--spoke the same language and could share information with one another. You could drag one on top of the other and a whole bunch of dots would appear showing you when you spent your money."

Twine won't provide that futuristic capability but it attempts to build a "semantic graph" of relationships between content, tags, people and Twines (the collection of items of an individual or group on the service). Each piece of content is a "semantic object," Radar Networks CEO Nova Spivack said, using Twine's underlying ontology and database, which applies semantic technologies such as RDF for storing data.

Spivack told me that public Twines are now visible to visitors to the site and to search engines. So far in the beta phase nearly 15,000 Twines have been created and 354,000 pieces of user-contributed content have been added into the system. More than 50,000 users signed up (34,000 are active) for the service, spending 13 to 15 minutes per session on the site, he said.

A major new release of the Twine platform is slated for release in the fall to address shortcomings and introduce new features. "We have worked on a lot of simplification, reducing the clutter, and we still need to reduce more. Twine has a lot of powerful features nobody uses, so we are moving some of the advanced features out of the way," Spivack said. "The fall release will bring more intelligence and semantics to the surface. For example, we will let anyone define a new type of thing, such as a recipe or baseball team form, to author. It's more like what Freebase does, and we will also likely integrate with Freebase over time."

In addition, performance improvements and algorithms to improve search as well as mining and crawling content are in the works. "A major focus of our work is on personalization and recommendations," Spivack said. "Ultimately, Twine is about 'interest networking' and is a content distribution network. People declare their interests, add content, join Twines and connect with people. As users work with the system it learns about their interests, using artificial intelligence and semantic Web technologies to provide more relevance. We are not attempting to index the whole Web, just the best stuff of interest to users. Ninety-nine percent of what's on the Web is not interesting to a user, so it's more about high signal to noise."

On the business front, Spivack believes that Twine can be an intermediary for users, delivering more targeted marketing messages in addition to content. It's similar to the way Facebook is creating a new kind of environment for advertising based on knowing member interests and their social or semantic graph. "The goal for Twine is to be the place on the Web that best understands your interests and represents them to others. The key is to give users control and privacy," Spivack said.

Twine is a work in progress. It's ambitious and has the potential to demonstrate how a more semantic Web could benefit users. The biggest challenge will be scaling the back-end infrastructure and attracting users, which means Twine will have to become far more easy to configure and use. We'll see in the coming months whether the forthcoming changes to Twine help open the floodgates.

Updated numbers on users and usage, 6:30 AM PST, August 1

Originally posted at Outside the Lines
June 18, 2008 3:58 PM PDT

Powerset's iPhone app solves bar bets, makes you smarter

by Josh Lowensohn
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Semantic search tool Powerset has put out a new iPhone app this week. Those looking to search on the go can now use the service's plain English searching capabilities to scour the entirety of Wikipedia and Freebase (coverage). The app comes after months of Powerset staff fumbling while trying to use their own product on the popular mobile device.

The new tool will pull up everything the desktop version does, although I found performance to be a tad slower--even over Wi-Fi. Outline, one of my favorite Powerset features that gives you quick links to each section in a Wikipedia article, has also made its way into the pocket version. While not as convenient as the desktop version which sits beside the actual Wikipedia article, it's a great way to skip down to a lower section of an article, which is normally an activity that makes you look like a complete idiot while you continuously drag your finger up and down the screen of your phone. There's also a much needed search function, something the iPhone's version of Safari is lacking from its desktop sibling.

I expect the company to come out with its own native app that will save past searches and let you store local content depending on how popular this version becomes. I've embedded some screens below. Also embedded after the break is a demo video of it in action.

... Read more

May 11, 2008 9:25 PM PDT

Powerset brings the Semantic Web to Wikipedia

by Dan Farber
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Amid speculation that Microsoft is looking to make an acquisition, Powerset launched a public beta of its Wikipedia search engine. It brings a new, rich semantic dimension via natural language query processing to Wikipedia that greatly improves the search and reading experience.

The company calls it a first step in changing the way users search and consume Web content. "It's a complete shift. You see this and you want to experience all content in this way," Barney Pell, co-founder and CTO of Powerset, told me. "And, as an introduction, it will drive huge investment in semantic and linguistic technology, just as investments were made in information retrieval and scalable databases in the past. People working in this space will be very marketable."

Users can enter keywords, phrases, or simple questions in Powerset's search box. Like many Web startups, Powerset is currently free of advertising.

Powerset's natural language search technology is based on patents licensed exclusively from PARC and its own proprietary indexing. Powerset's engine has read 2.5 million Wikipedia pages and extracted "meaning" from the sentences, creating a navigation and semantic layer on top of the popular Web encyclopedia. Following is a pictorial tour of Powerset features:

Powerset has also indexed Freebase, Metaweb's evolving, open database of structured information. The search result page presents Factz, a summary of key information extracted from Wikipedia pages.

Factz can be expanded to display more of the extracted verbs and their associated words and concepts.

Powerset creates a summary of information, or Dossier, on the right side of the page with Freebase and Wikipedia to give users a quick outline view about a topic. Clicking on an item takes the user to the location in the article and highlights the reference.

Powerset generates a summary of the key Factz to create a kind of Cliff's Notes version of Wikipedia article. Clicking on a summary item takes the user to the reference location in the article and highlights the key words. Powerset also includes a page for disambiguation of queries.

Powerset also shows a tag cloud of things and actions found by its linguistic analysis engine on the page. Clicking on a word shows related Factz in the outline.

Powerset can provide direct answers to queries from its Wikipedia and Freebase index, and highlight the most relevant search results based on the meaning of the query. Hakia, another semantic search engine, as well as Google can also surface the date Picasso was born at the top of their results pages.

Powerset's Wikipedia search engine isn't going to slow down the Google in the near term, but it will raise the bar on the search experience for all players. "There are implications beyond Wikipedia," Pell said. " Search is not done. You can see the emerging Semantic Web with our integration of Wikipedia and Freebase. We will add other components with structured data and ways to answers questions."

Powerset has said that the longer term plan is to read, linguistically analyze and index 20 billion documents on the Web, which will be a costly and ambitious undertaking. (Getting acquired by Microsoft would be helpful for that project. Powerset has received $12.5 million in Series A funding from Foundation Capital, Founders Fund, and angel investors in 2006.)

Originally posted at Outside the Lines
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