We present the architecture of an end-to-end semantic search engine that uses a graph data model to enable interactive query answering over structured and interlinked data collecte...
Ideally, one would like to perform image search using an intuitive and friendly approach. Many existing image search engines, however, present users with sets of images arranged i...
Novi Quadrianto, Kristian Kersting, Tinne Tuytelaa...
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
This paper presents a demand-driven, flow-insensitive analysis algorithm for answering may-alias queries. We formulate the computation of alias queries as a CFL-reachability probl...
To better serve users’ information needs without requiring comprehensive queries from users, a simple yet effective technique is to explore the preferences of users. Since these...
Arthur H. van Bunningen, Maarten M. Fokkinga, Pete...