Posts Tagged ‘General Architecture for Text Engineering’

Daedalus Takes Meaning-As-A-Service To Excel, GATE And CMS Systems

meaningasaserviceDaedalus (which The Semantic Web Blog originally covered here) has just made its Textalytics meaning-as-a-service APIs available for Excel and GATE (General Architecture for Text Engineering), a JAVA suite of tools used for natural language processing tasks, including information extraction in many languages. Connecting its semantic analysis tools with these systems is one step in a larger plan to extend its integration capabilities with more API plug-ins.

“For us, integration options are a way to lower barriers to adoption and to foster the development of an ecosystem around Textalytics,” says Antonio Matarranz, who leads marketing and sales for Daedalus. The three main ecosystem scenarios, he says, include personal productivity tools, of which the Excel add-in is an example, and NLP environments, of which GATE is an example. “But UIMA (Unstructured Information Management Applications) is also a target,” he says. The list also is slated to include content management systems and search engines, among them open source systems like WordPress, Drupal, and Elasticsearch.

Read more

Showing at The International American Toy Fair: Tangible, Touchable Semantic Technology

The coolest thing at the 109th International American Toy Fair in New York City this week might have been the Lazer Tag Blaster or the World of Warcraft version of Monopoly. Or, for semantic tech aficionados, it would have been Uma’s semantic Skin multitouch display installation. Even the Power Rangers were getting into it (see photo).

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.

Read more