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- W1975996812 abstract "The emergence of a Web of Linked Data [2] enables new forms of application that require expressive query access, for which mature, Web-scale information retrieval techniques may not be suited. Rather than attempting to deliver expressive query capabilities at Web-scale, we propose the use of smaller, pre-populated data caches whose contents are personalized to the needs of an individual user. Such caches can act as personal data stores supporting a range of different applications. Furthermore, we discuss a user evaluation which demonstrates that our approach can accurately predict queries and their execution probability, thereby optimizing the cache population process. In this paper we formally introduce a strategy for predicting queries that can then be used to inform an a priori population of a personal cache of Linked Data harvested from Web. Based on a comprehensive user evaluation we demonstrate that our approach can accurately predict queries and their execution probability, thereby optimizing the cache population process." @default.
- W1975996812 created "2016-06-24" @default.
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- W1975996812 creator A5068591642 @default.
- W1975996812 date "2012-06-25" @default.
- W1975996812 modified "2023-09-23" @default.
- W1975996812 title "Query prediction with context models for populating personal linked data caches" @default.
- W1975996812 cites W2027601538 @default.
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- W1975996812 doi "https://doi.org/10.1145/2309996.2310056" @default.
- W1975996812 hasPublicationYear "2012" @default.
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