EASE: an effective 3-in-1 keyword search method for unstructured, semi-structured and structured data

449 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Survey on Deep Learning in Big Data (2017, methodology): “Authors in [18] proposed a new method for keyword searching in data stream environment.”
Keyword Search in Relational Databases: A Survey (2010, methodology): “in [21] define the result of an l-keyword query as an r-radius steiner subgraph.”
Spark: top-k keyword query in relational databases (2007, background): “Some advanced features, such as schema term awareness and phrase-based ranking, are also proposed [10], [26], [27], [29], [30], [32], [34], [35], [37], [40], [46]–[51].”
Effective Community Search for Large Attributed Graphs (2016, background): “, Flickr, Facebook, and Twitter), the topic of attributed graphs has attracted attention from industry and research communities [29, 3, 6, 12, 14, 33, 17, 15].”
A survey of community search over big graphs (2019, background): “In [125], Li et al. proposed to ﬁnd r -radius Steiner graphs that contain query keywords.”