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Diverse and Proportional Size-l Object Summaries for Keyword Search
2015
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15
The abundance and ubiquity of graphs (e.g., Online Social Networks such as Google+ and Facebook; bibliographic graphs such as DBLP) necessitates the effective and efficient search over them. Given a set of keywords that can identify a Data Subject (DS), a recently proposed relational keyword search paradigm produces, as a query result, a set of Object Summaries (OSs). An OS is a tree structure rooted at the DS node (i.e., a tuple containing the keywords) with surrounding nodes that summarize
doi:10.1145/2723372.2737783
dblp:conf/sigmod/FakasCM15
fatcat:xedzud4y5ff77c3bacpamqg5vu