Repositories like arXiv and knowledge bases like CiteSeer are increasingly becoming central to academi- cians and researchers. However, current systems pro- vide too little semantic support like determining the topic of a paper, modelling the interests of a user, etc. Silverfish is a contextual knowledge extraction and ag- gregation system that adds a significant amount of semantics to academic repositories. Silverfish auto- matically extracts pertinent key phrases and models semantic content in the form of a back end cooccur- rence graph. This is used for “intelligent” operations like recommendations, finding related content and se- mantics based routing of announcements.
CITATION STYLE
Srinivasa, S., & Rachakonda, A. R. (2008). Silverfish: A Contextual Knowledge Extraction and Aggregation System for Academics. In Conference on Management of Data. Mumbai, India.
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