RT Journal Article
JF 2012 IEEE Sixth International Conference on Semantic Computing
YR 2010
VO 00
IS
SP 317
TI TAKE Scientist's Workbench: Semantic Search and Citation-Based Visual Navigation in Scholar Papers
A1 Ulrich Schäfer,
A1 Christian Spurk,
K1 Semantic Search
K1 Citation Analysis
K1 Parsing
K1 NLP
K1 HPSG
K1 TAKE
K1 Scientist's Workbench
K1 RASP
K1 PDF
K1 science
K1 e-science
K1 scientific papers
K1 MRS
K1 RMRS
AB We report on recent advances in the project TAKE on the Scientist's Workbench, a platform demonstrating the use of natural language processing (NLP) to support scientists or other knowledge workers in fast and better access to digital document content. We focus on sentence-wise NLP analysis of electronically available scientific paper texts. With the generated NLP annotations, we are able to provide two important, novel applications, (1) robust semantic search in paper content and (2) document navigation based on citation classification. In contrast to previous work, we now provide semantic search on the full textual content of scientific papers instead of just abstracts and use a fall-back strategy to maximize NLP robustness on every sentence. We extend the workbench with a novel visualization and navigation facility that aims at helping scientists to quickly adapt to research fields and topics. It is based on NLP-assisted classification of citation sentences to compute a browsable, typed citation graph.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN
LA English
DO 10.1109/ICSC.2010.40
LK http://doi.ieeecomputersociety.org/10.1109/ICSC.2010.40