TY - GEN
T1 - Evaluating different ranking functions for context-based literature search
AU - Ratprasartporn, Nattakarn
AU - Bani-Ahmad, Sulieman
AU - Cakmak, Ali
AU - Po, Jonathan
AU - Ozsoyoglu, Gultekin
PY - 2007
Y1 - 2007
N2 - Context-based literature digital library search is a new search paradigm that creates an effective ranking of query outputs by controlling query output topic diversity. We define contexts as pre-specified ontology-based terms and locate the paper set of a context based on semantic properties of the context (ontology) term. In order to provide a comparative assessment of papers in a context and effectively rank papers returned as search outputs, prestige scores are attached to all papers with respect to their assigned contexts. In this paper, we present three different prestige score (ranking) functions for the context-based environment, namely, citation-based, text-based, and pattern-based score functions. Using biomedical publications as the lest case and Gene Ontology as the context hierarchy, we have evaluated the proposed ranking functions in terms of their accuracy and separability. We have found that text-based and pattern-based score functions yield better accuracy and separability than citation-based score functions.
AB - Context-based literature digital library search is a new search paradigm that creates an effective ranking of query outputs by controlling query output topic diversity. We define contexts as pre-specified ontology-based terms and locate the paper set of a context based on semantic properties of the context (ontology) term. In order to provide a comparative assessment of papers in a context and effectively rank papers returned as search outputs, prestige scores are attached to all papers with respect to their assigned contexts. In this paper, we present three different prestige score (ranking) functions for the context-based environment, namely, citation-based, text-based, and pattern-based score functions. Using biomedical publications as the lest case and Gene Ontology as the context hierarchy, we have evaluated the proposed ranking functions in terms of their accuracy and separability. We have found that text-based and pattern-based score functions yield better accuracy and separability than citation-based score functions.
UR - http://www.scopus.com/inward/record.url?scp=48349127482&partnerID=8YFLogxK
U2 - 10.1109/ICDEW.2007.4401002
DO - 10.1109/ICDEW.2007.4401002
M3 - Conference contribution
AN - SCOPUS:48349127482
SN - 1424408326
SN - 9781424408320
T3 - Proceedings - International Conference on Data Engineering
SP - 261
EP - 268
BT - Workshops in Conjunction with the International Conference on Data Engineering - ICDE' 07
T2 - Workshops in Conjunction with the 23rd International Conference on Data Engineering - ICDE 2007
Y2 - 15 April 2007 through 20 April 2007
ER -