Dr. Faezeh Ensan's research focuses on building exciting tools that have shaped the information revolution, such as search engines, text retrieval techniques, automatic question-answering systems and recommendation engines. Contrary to traditional methods for information retrieval, Ensan applies ...
Click to Expand >>
Dr. Faezeh Ensan's research focuses on building exciting tools that have shaped the information revolution, such as search engines, text retrieval techniques, automatic question-answering systems and recommendation engines. Contrary to traditional methods for information retrieval, Ensan applies computational semantics by capturing the meaning behind natural language to build next-generation intelligent information processing techniques.
Knowledge graphs, formal ontologies and linked open data are at the heart of Ensan’s research program and enable the semantic interpretation of textual content. To infer more meaning from larger volumes of text, Ensan has shifted her focus from manually created ontologies to crowdsourced information sources, like Wikipedia, and structured and formal representations of their knowledge in knowledge graphs.
Click to Shrink <<