FRINK Linked Data Fragments server

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• W2904306210 abstract "It is becoming more common to publish data in a way that accords with the Linked Data principles. In an effort to improve the human exploitation of this data, we propose a Linked Data browser that is enhanced with recommendation functionality. Based on a user profile, also represented as Linked Data, we propose a technique that we call LDRec that chooses in a personalized way which of the resources that lie within a certain neighbourhood in a Linked Data graph to recommend to the user. The recommendation technique, which is novel, is inspired by a collective classifier known as the Iterative Classification Algorithm. We evaluate LDRec using both an off-line experiment and a user trial. In the off-line experiment, we obtain higher hit rates than we obtain using a simpler classifier. In the user trial, comparing against the same simpler classifier, participants report significantly higher levels of overall satisfaction for LDRec." @default.
• W2904306210 created "2018-12-22" @default.
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• W2904306210 creator A5035579644 @default.
• W2904306210 date "2018-11-01" @default.
• W2904306210 modified "2023-09-25" @default.
• W2904306210 title "A Linked Data Browser with Recommendations" @default.
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• W2904306210 doi "https://doi.org/10.1109/ictai.2018.00038" @default.
• W2904306210 hasPublicationYear "2018" @default.
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