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Published in:
2012 | OriginalPaper | Chapter
Tag Recommendation for Large-Scale Ontology-Based Information Systems
Authors : Roman Prokofyev, Alexey Boyarsky, Oleg Ruchayskiy, Karl Aberer, Gianluca Demartini, Philippe Cudré-Mauroux
Published in: The Semantic Web – ISWC 2012
Publisher: Springer Berlin Heidelberg
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We tackle the problem of improving the relevance of automatically selected tags in large-scale ontology-based information systems. Contrary to traditional settings where tags can be chosen arbitrarily, we focus on the problem of recommending tags (e.g., concepts) directly from a collaborative, user-driven ontology. We compare the effectiveness of a series of approaches to select the best tags ranging from traditional IR techniques such as TF/IDF weighting to novel techniques based on ontological distances and latent Dirichlet allocation. All our experiments are run against a real corpus of tags and documents extracted from the ScienceWise portal, which is connected to
ArXiv
.
org
and is currently used by growing number of researchers. The datasets for the experiments are made available online for reproducibility purposes.