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A Survey of Software for Reference Menagement : Analysis and Trends. Boris Radovanovi ć mi06046@alas.matf.bg.ac.rs Marko Stoji ć evi ć mi06064@alas.matf.bg.ac.rs. What is Reference Management Software (RMS)?. Used by scholars and authors Used for recording citations. 2/8. Problem statement.

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a survey of software for reference menagement analysis and trends

A Survey of Software for Reference Menagement:Analysis and Trends

Boris Radovanovićmi06046@alas.matf.bg.ac.rs

Marko Stojićevićmi06064@alas.matf.bg.ac.rs

what is reference management software rms
What is Reference Management Software (RMS)?
  • Used by scholars and authors
  • Used for recording citations

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problem statement
Problem statement
  • Problem with extracting metadata from citation
  • There is no 100% accurate algorithm

3/8

types of algorithms
Types of algorithms
  • Template-based methods
  • Rule-based methods
  • Learning-based methods

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existing solutions of the problem
Existing solutions of the problem

Figure 1: Classification tree. Legend: SG – Solution group, F/C – free/commercial, OS- open-source, P – platform, N- no, Y – yes, S- supports small number of platforms (1 or 2), B- supports big number of platforms (3 or more), W- web based software. Explanation:The figure shows classification of the solution groups by the explained attributes of RSM.

F

C

Y

N

B

S

B

S

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future trends
Future Trends
  • Learn-based algorithms
  • Hidden Markov Model (HMM)
  • Genome sequences

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conclusion and questions
Conclusion and Questions
  • RMS is a challenging problem
  • Significance of this problem will be felt by every researcher

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references
References
  • [1: Web Paper] Wikipedia, “Comparison of Reference Management Software,” http://en.wikipedia.org/wiki/Comparison_of_reference_management_software, 5/12/2010.
  • [2: Technical report] Yang, K., Chen, C., Ho, J., “BibPro: A Citation Parser Based on Sequence Alignment Techniques,” Technical Report,Institute of Information Science, Academia Sinica, Taipei, Taiwan, ROC, October 2007
  • [3: Conference] -, “Chinese Segmentation and New Word Detection using Conditional Random Fields,” HLT-NAACL-2004, Boulder, Colorado, USA, June 2004

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