MODUL University Vienna (Austria) (06/28/13)
MODUL University Vienna researchers have developed an open source tool that supports text acquisition, language recognition, the detection of phonetic similarities, and the standardized integration and archiving of captured information. The researchers say the project combines state-of-the-art methods to automatically capture information from complex sources with collective human intelligence. "The technologies from the uComp project provide us with better ways to capture opinions--on a global basis, irrespective of language barriers, national borders, and cultural differences," says MODUL professor Arno Scharl. He notes that a key aspect of uComp is the combination of collective human intelligence and automated knowledge extraction by software tools. Scharl says the first step to achieving this goal has been taken successfully with the extensible Web Retrieval Toolkit (eWRT), which promotes a transparent approach to analyzing data from social media platforms. "The uComp project will advance the state of the art by offering all these capabilities in an integrated, reusable framework," he says. Scharl notes the next phase of the project will focus on using collective human intelligence to analyze and validate data gathered by eWRT.
MODUL University Vienna researchers have developed an open source tool that supports text acquisition, language recognition, the detection of phonetic similarities, and the standardized integration and archiving of captured information. The researchers say the project combines state-of-the-art methods to automatically capture information from complex sources with collective human intelligence. "The technologies from the uComp project provide us with better ways to capture opinions--on a global basis, irrespective of language barriers, national borders, and cultural differences," says MODUL professor Arno Scharl. He notes that a key aspect of uComp is the combination of collective human intelligence and automated knowledge extraction by software tools. Scharl says the first step to achieving this goal has been taken successfully with the extensible Web Retrieval Toolkit (eWRT), which promotes a transparent approach to analyzing data from social media platforms. "The uComp project will advance the state of the art by offering all these capabilities in an integrated, reusable framework," he says. Scharl notes the next phase of the project will focus on using collective human intelligence to analyze and validate data gathered by eWRT.
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