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Research and Advanced Technology for Digital Libraries

Volume 4675 of the series Lecture Notes in Computer Science pp 50-62

Improved Publication Scores for Online Digital Libraries Via Research Pyramids

  • Sulieman Bani-AhmadAffiliated withDepartment of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, Ohio 44106
  • , Gultekin OzsoyogluAffiliated withDepartment of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, Ohio 44106

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Abstract

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.