Incorporating structural information in scientific document retrieval

@article{Azimzadeh2018IncorporatingSI,
  title={Incorporating structural information in scientific document retrieval},
  author={Fatemeh Azimzadeh and Farzaneh Norouzi},
  journal={2018 4th International Conference on Web Research (ICWR)},
  year={2018},
  pages={103-110}
}
With the daily-increasing development of science, various methods have been designed to more and better retrieve the scientific documents based on the need and search of users. For some documents in the various scientific databases, no complete information exists and the users have to observe the inside of a document in order to catch up with its metadata inclusion the authors, their affiliations, the references cited and etc. Therefore, presence of a method based on extracting the information… CONTINUE READING

Figures, Results, and Topics from this paper.

Key Quantitative Results

  • The results of experiments show the proposed methods outperformed 60% in contrast to the PubMed Database search engine in terms of the retrieved documents.

References

Publications referenced by this paper.
SHOWING 1-10 OF 22 REFERENCES

FreeBase

Google
  • [Online]. Available: https://developers.google.com/freebase/. [Accessed 27 1 2018].
  • 2018
VIEW 1 EXCERPT

Neo4j Introduction

TutorialsPoint
  • [Online]. Available: https://www.tutorialspoint.com/neo4j/index.htm. [Accessed 27 1 2018].
  • 2018
VIEW 1 EXCERPT

NOUS: construction , querying of dynamic knowledge graphs

S.Choudhury, Kh.Agarwal, +4 authors M. Thomas
  • ICDE, 2017.
  • 2017
VIEW 2 EXCERPTS

Structured search query generation , use in a computer network environment.

RVMK Peddinti, LK Dabbiru
  • Patent Google Patents,
  • 2017
VIEW 1 EXCERPT