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Exploiting Social Judgements in Big Data Analytics

Social judgements like comments, reviews, discussions, or ratings have become a ubiquitous component of most Web applications, especially in the e-commerce domain. Now, a central challenge is using these judgements to im- prove the user experience by offering new query paradigms or better data analyt- ics. Recommender systems have already demonstrated how ratings can be effec- tively used towards that end, allowing users to semantically explore even large item databases. In this paper, we will discuss how to use unstructured reviews to build a structured semantic representation of database items, enabling the imple- mentation of semantic queries and further machine-learning analytics. Thus, we address one of the central challenge of Big Data: making sense of huge collec- tions of unstructured user feedback.