Inproceedings,
A Science Model Driven Retrieval Prototype
Proceedings of the Cologne Conference on Interoperability and Semantics in Knowledge Organization, volume 1 of Reihe Informations- und Bibliothekswissenschaften, page 111-122. Würzburg, Ergon Verlag, (2011)
Abstract
This paper is about a better understanding of the structure and dynamics of
science and the usage of these insights for compensating the typical problems that
arises in metadata-driven Digital Libraries. Three science model driven retrieval services
are presented: co-word analysis based query expansion, re-ranking via Bradfordizing
and author centrality. The services are evaluated with relevance assessments
from which two important implications emerge: (1) precision values of the retrieval
service are the same or better than the tf-idf retrieval baseline and (2) each service retrieved
a disjoint set of documents. The different services each favor quite other – but
still relevant – documents than pure term-frequency based rankings. The proposed
models and derived retrieval services therefore open up new viewpoints on the scientific
knowledge space and provide an alternative framework to structure scholarly information
systems.
