Silverfish: A Contextual Knowledge Extraction and Aggregation System for Academics

Repositories like arXiv1 and knowledge bases like CiteSeer2 are increasingly becoming central to academicians and researchers. However, current systems provide 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 aggregation system that adds a significant amount of semantics to academic repositories. Silverfish automatically extracts pertinent key phrases and models semantic content in the form of a back end cooccurrence graph. This is used for "intelligent" operations like recommendations, finding related content and semantics based routing of announcements.

• Type: Conference
• Year: 2008
• Where: COMAD
• Authors: Srinath Srinivasa, Aditya Ramana Rachakonda
• Keywords: COMAD 2008, Contextual Knowledge Extraction, Knowledge Management, Little Semantic Support, Semantics