Quantum-Inspired Keyword Search on Multi-model Databases

With the rising applications implemented in different domains, it is inevitable to require databases adopt corresponding appropriate data models store and exchange derived from various sources. To handle these a single platform, community of introduces multi-model database. And many vendors are improving their products supporting model being databases. Although this brings benefits, spending lots enthusiasm master one query languages for exploring database unfriendly most users. Therefore, we study using keyword searches as an alternative way explore In paper, attempt utilize quantum physics's probabilistic formalism bring problem into vector spaces represent events (e.g., words) subspaces. Then employ density matrix encapsulate all information over subspaces use matrices measure divergence between candidate answers finding top-\textit{k} relevant results. process, propose pattern mining identify compounds accuracy dimensionality reduction reducing complexity. Finally, empirical experiments demonstrate performance superiority our approaches state-of-the-art approaches.