Improved Publication Scores for Online Digital Libraries Via Research Pyramids

  • Sulieman Bani-Ahmad
  • Gultekin Ozsoyoglu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4675)


Ranking publications of Online Digital Libraries (ODLs) is useful for (i) providing comparative assessment of publications and (ii) listing relevant ODL search results first in search outputs, enabling users to aggregate pertinent results quickly and easily. Studies show that effective citation-based scoring functions, namely, PageRank, HITS and Citation Count, are highly skewed, and have accuracy problems, possibly due to topic diffusion. In this paper, based on the notion of research pyramids, we propose an a priori technique to assign more effective publication scores. Using the ACM SIGMOD Anthology ODL as a testbed, we show that our approach provides more accurate and less skewed publication scores.


Digital Library Citation Count Citation Graph Search Output PageRank Score 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Sulieman Bani-Ahmad
    • 1
  • Gultekin Ozsoyoglu
    • 1
  1. 1.Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, Ohio 44106 

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