Disease Related Knowledge Summarization Based on Deep Graph Search
The volume of published biomedical literature on disease related knowledge is expanding rapidly. Traditional information retrieval (IR) techniques, when applied to large databases such as PubMed, often return large, unmanageable lists of citations that do not fulfill the searcher’s information needs...
Main Authors: | Xiaofang Wu, Zhihao Yang, ZhiHeng Li, Hongfei Lin, Jian Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2015-01-01
|
Series: | BioMed Research International |
Online Access: | http://dx.doi.org/10.1155/2015/428195 |
Similar Items
-
Enhancing biomedical text summarization using semantic relation extraction.
by: Yue Shang, et al.
Published: (2011-01-01) -
Semantics-based Summarization of Entities in Knowledge Graphs
by: Gunaratna, Kalpa
Published: (2017) -
Graph Embedding via Graph Summarization
by: Jingyanning Yang, et al.
Published: (2021-01-01) -
Graph Hybrid Summarization
by: N. Ashrafi Payaman, et al.
Published: (2018-07-01) -
Probabilistic graph summarization
by: Hassanlou, Nasrin
Published: (2013)