Time-aware Link Prediction in RDF Graphs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F15%3A00231357" target="_blank" >RIV/68407700:21240/15:00231357 - isvavai.cz</a>
Result on the web
<a href="http://www.scitepress.org/Portal/PublicationsDetail.aspx?ID=0rKeL7JmT3g=&t=1" target="_blank" >http://www.scitepress.org/Portal/PublicationsDetail.aspx?ID=0rKeL7JmT3g=&t=1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0005428403900401" target="_blank" >10.5220/0005428403900401</a>
Alternative languages
Result language
angličtina
Original language name
Time-aware Link Prediction in RDF Graphs
Original language description
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 thealready 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
WEBIST 2015 - Proceedings of the 11th International Conference on Web Information Systems and Technologies
ISBN
978-989-758-106-9
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
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Publisher name
SciTePress
Place of publication
Madeira
Event location
Lisbon
Event date
May 20, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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