Different from some existing work on exploiting ontologies, e.g., (Sauper and Barzilay, 2009), which relies on training data, we focus on exploring unsupervised approaches, which can be applied to a larger scope of topics.
given a topic with entries in an ontology and a collection of scattered online opinions about the topic, our goal is to generate a structured summary where representative major opinions are organized with well aligned aspects and in an order easy for human to follow.