Edamam

Originally, the web site app mirrored the mobile versions. But, says co-founder and CEO Victor Penev, “We realized that people wanted to be able to access recipes and search on the desktop, and they should have a holistic experience from anywhere.” While the company had been more focused on the mobile arena, Penev says building traffic for the website is going to be a priority too. Among the capabilities users should see in the near future are functions like one that will let people save recipes on their iPhone or Android mobile devices and then access them on their iPads or desktops, or vice verse.

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Semantic technology is helping the company reach its goal. “A big problem is that data about food is very messy,” says Penev. “It’s hard to find something, what you find often contradicts other information of what is good for you and what the calories are. So we set out to solve that problem. We played around with different approaches but settled on using semantic technology.”

The confusion arises in part from the fact that recipe sites themselves usually just hire services to calculate nutritional data. But that may lead to mistakes when calculations aren’t undertaken with exactitude — substituting white cream for heavy cream nutritional details changes the whole profile of the recipe, he says.

So, what is that right semantic stuff? One piece of it is that, in conjunction with Ontotext, Edamam built a food ontology. An ontology can be the foundation for a lot of things, such as extracting the knowledge of the chemical composition of a particular recipe and thus inferring its flavor and texture. And Edamam means to grow its own to include various datasets such as chemical data (for flavor and texture), geolocation (for local and seasonal recipes), product data (for e-commerce). and more.

But initially, it’s taken the simple approach, with the core of the ontology focused around classifying ingredients, nutrients and food. “We have started with the simplest ontology and focused on the most common use case — mobile recipe search,” he says.

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Here is the marriage of semantic technology with interactive signage and multi-touch displays, RFID technology, Intel’s Audience Impression Metrics suite, and social media integration. It is, as Christian Doegl, founder and CEO of uma, an example “where semantics gets tangible.”  And touchable by everyone.

For the Toy Fair, Uma got access to the exhibitor database, itself complete with structured metadata such as company name, location on the floor, and Twitter handle. “From this we can build up a semantic database connecting all different databases to the system,” says Doegl.

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Executive Summary

Chemistry is a central science and the data produced as a consequence is immense. However, much of this data is which makes data integration difficult. In this article, we demonstrate how chemical data can be retrieved from reports, scientific theses and papers or patents and discuss how these sources can be processed using natural language processing techniques and named-entity recognisers to produce chemical data and knowledge expressed in RDF.

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Executive Summary

We introduce a web application which integrates the core idea of social bookmarking with semantic components allowing to enhance search and navigation, and to overcome the drawbacks of collaborative tagging.

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