Processing semantic keyword queries for scientific literature

  • Authors:
  • Ibrahim Burak Ozyurt;Christopher Condit;Amarnath Gupta

  • Affiliations:
  • Department of Psychiatry, University of California, San Diego, La Jolla, CA;San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA;San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA

  • Venue:
  • NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems
  • Year:
  • 2012

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Abstract

In this short paper, we present early results from an ongoing research on creating a new graph-based representation from NLP analysis of scientific documents so that the graph can be utilized for answering structured queries on NL-processed data. We present a sketch of the data model and the query language to show how scientifically meaningful queries can be posed against this graph structure.