An Online Learning-based Efficient Search System for Sufficient SPARQL Endpoints Using Extended Multi-armed Bandit Algorithm.
Yoshiaki Kadono, Naoki Fukuta · 2014
Abstract. On searching and integrating various kinds of open data, one of cru-cial issues is to efficiently find sufficient SPARQL endpoints that store sufficient data to be retrieved in the query. In this demonstration, we will present our on-line learning-based efficient search algorithm and our prototype implementation based on an extended multi-armed bandit approach, which takes into account how the demanded data could be stored in each SPARQL endpoint by the results obtained from a series of test queries. 1