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Authors: Jaroslav Kuchař ; Milan Dojchinovski and Tomas Vitvar

Affiliation: Czech Technical University in Prague, Czech Republic

Keyword(s): Link Prediction, Web APIs, Temporal Information, Semantics, Tensor Factorization.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Internet Technology ; Ontology and the Semantic Web ; Sensor Networks ; Signal Processing ; Soft Computing ; Web Information Systems and Technologies ; Web Interfaces and Applications ; Web Services and Web Engineering

Abstract: When a link is not explicitly present in an RDF dataset, it does not mean that the link could not exist in reality. Link prediction methods try to overcome this problem by finding new links in the dataset with support of a background knowledge about the already existing links in the dataset. In dynamic environments that change often and evolve over time, link prediction methods should also take into account the temporal aspects of data. In this paper, we present a novel time-aware link prediction method. We model RDF data as a tensor and take into account the time when RDF data was created. We use an ageing function to model a retention of the information over the time; lower the significance of the older information and promote more recent. Our evaluation shows that the proposed method improves quality of predictions when compared with methods that do not consider the time information.

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Paper citation in several formats:
Kuchař, J.; Dojchinovski, M. and Vitvar, T. (2015). Time-aware Link Prediction in RDF Graphs. In Proceedings of the 11th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-106-9; ISSN 2184-3252, SciTePress, pages 390-401. DOI: 10.5220/0005428403900401

@conference{webist15,
author={Jaroslav Kucha\v{r}. and Milan Dojchinovski. and Tomas Vitvar.},
title={Time-aware Link Prediction in RDF Graphs},
booktitle={Proceedings of the 11th International Conference on Web Information Systems and Technologies - WEBIST},
year={2015},
pages={390-401},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005428403900401},
isbn={978-989-758-106-9},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Web Information Systems and Technologies - WEBIST
TI - Time-aware Link Prediction in RDF Graphs
SN - 978-989-758-106-9
IS - 2184-3252
AU - Kuchař, J.
AU - Dojchinovski, M.
AU - Vitvar, T.
PY - 2015
SP - 390
EP - 401
DO - 10.5220/0005428403900401
PB - SciTePress

- Science and Technology Publications, Lda.
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