TY - GEN
T1 - Adding regular expressions to graph reachability and pattern queries
AU - Fan, Wenfei
AU - Li, Jianzhong
AU - Ma, Shuai
AU - Tang, Nan
AU - Wu, Yinghui
PY - 2011
Y1 - 2011
N2 - It is increasingly common to find graphs in which edges bear different types, indicating a variety of relationships. For such graphs we propose a class of reachability queries and a class of graph patterns, in which an edge is specified with a regular expression of a certain form, expressing the connectivity in a data graph via edges of various types. In addition, we define graph pattern matching based on a revised notion of graph simulation. On graphs in emerging applications such as social networks, we show that these queries are capable of finding more sensible information than their traditional counterparts. Better still, their increased expressive power does not come with extra complexity. Indeed, (1) we investigate their containment and minimization problems, and show that these fundamental problems are in quadratic time for reachability queries and are in cubic time for pattern queries. (2) We develop an algorithm for answering reachability queries, in quadratic time as for their traditional counterpart. (3) We provide two cubic-time algorithms for evaluating graph pattern queries based on extended graph simulation, as opposed to the NP-completeness of graph pattern matching via subgraph isomorphism. (4) The effectiveness, efficiency and scalability of these algorithms are experimentally verified using real-life data and synthetic data.
AB - It is increasingly common to find graphs in which edges bear different types, indicating a variety of relationships. For such graphs we propose a class of reachability queries and a class of graph patterns, in which an edge is specified with a regular expression of a certain form, expressing the connectivity in a data graph via edges of various types. In addition, we define graph pattern matching based on a revised notion of graph simulation. On graphs in emerging applications such as social networks, we show that these queries are capable of finding more sensible information than their traditional counterparts. Better still, their increased expressive power does not come with extra complexity. Indeed, (1) we investigate their containment and minimization problems, and show that these fundamental problems are in quadratic time for reachability queries and are in cubic time for pattern queries. (2) We develop an algorithm for answering reachability queries, in quadratic time as for their traditional counterpart. (3) We provide two cubic-time algorithms for evaluating graph pattern queries based on extended graph simulation, as opposed to the NP-completeness of graph pattern matching via subgraph isomorphism. (4) The effectiveness, efficiency and scalability of these algorithms are experimentally verified using real-life data and synthetic data.
UR - https://www.scopus.com/pages/publications/79957828078
U2 - 10.1109/ICDE.2011.5767858
DO - 10.1109/ICDE.2011.5767858
M3 - 会议稿件
AN - SCOPUS:79957828078
SN - 9781424489589
T3 - Proceedings - International Conference on Data Engineering
SP - 39
EP - 50
BT - 2011 IEEE 27th International Conference on Data Engineering, ICDE 2011
T2 - 2011 IEEE 27th International Conference on Data Engineering, ICDE 2011
Y2 - 11 April 2011 through 16 April 2011
ER -