The intersection of Semantic Web and NLP; DBpedia Spotlight & more!
Cartic Ramakrishnan and Pablo Mendes will present applications drawn from a variety of domains such as Biomedical Informatics, Social Network Analysis and others. Pablo will discuss DBpedia Spotlight in depth.
Cartic Ramakrishnan is a Research Scientist at Datapop. He develops NLP and Machine Learning solutions to a variety of problems in Computational Advertising. He has a background in NLP and Machine Learning applied to Knowledge Engineering and Semantic Web research. Prior to Datapop, Cartic did his post doctoral research at the Information Sciences Institute, University of Southern California. Cartic has also worked at IBM Research (summer 2006) and the National Library of Medicine (summer 2002, 2004). Cartic received his computer science doctorate in 2008, graduating from the Kno.e.sis Center at Wright State University.
Pablo Mendes is Research Associate at the Open Knowledge Foundation Germany. Pablo has worked for 5 years as a Research Assistant at the University of Georgia and at the Kno.e.sis Center at Wright State University. He also worked as an intern at Yahoo! Search in California (summer 2008) and Yahoo! Research Barcelona (summer 2009). In the last two years Pablo worked at the Freie Universität Berlin conducting research within the European-funded LOD2 Project and the European Network of Excellence PlanetData. His research focuses on the extraction, integration and exploration of (structured and unstructured) information on the Web and, in particular, of Linked Data. Automation;
Venue & Sponsor
DATAPOP is acting as both the venue and food sponsor for this meetup. DATAPOP makes every ad relevant by enabling marketers to turn their offers into targeted, unique messages on a massive scale. Our paid search application creates messages specifically tailored to each consumer based on their demographics, location and intent. Using a marketers unique set of offers, DataPop will help deliver the most relevant and effective messages possible. And we do this on a massive scale - thousands of campaigns and ad groups created and managed easily. No more excel and bulk-sheet madness. We make it easy to build high quality paid search campaigns on a massive scale.
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