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In keyword search over a data graph, an answer is a non-redundant subtreethat contains all the keywords of the query. A naive approach to producing allthe answers by increasing height is to generalize Dijkstra's algorithm toenumerating all acyclic paths by increasing weight. The idea of freezing isintroduced so that (most) non-shortest paths are generated only if they areactually needed for producing answers. The resulting algorithm for generatingsubtrees, called GTF, is subtle and its proof of correctness is intricate.Extensive experiments show that GTF outperforms existing systems, even onesthat for efficiency's sake are incomplete (i.e., cannot produce all theanswers). In particular, GTF is scalable and performs well even on large datagraphs and when many answers are needed.

A Practically Efficient Algorithm for Generating Answers to Keyword Search over Data Graphs