A Cornell computer scientist took home a Best Demo runner-up award at the ACM Special Interest Group on Management of Data (SIGMOD), which was held in June in Seattle.
Immanuel Trummer, assistant professor of computer science, is the brains behind NaturalMiner, a system that allows users to extract facts from large datasets using natural language processing tools. For example, users can search a dataset containing flight statistics to find evidence of whether a specific airline over- or underperforms. Trummer gives another example: combing through a dataset specific to laptop computers to find the best model for the cheapest price.
Trummer was recognized for both his demo and his corresponding paper, “Demonstrating NaturalMiner: Search Large Data Sets for Abstract Patterns Described in Natural Language Processing.”
His research explores ways to make data analysis more efficient and more user-friendly.