Efficient management of transitive relationships in large data and knowledge bases
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
Reachability and distance queries via 2-hop labels
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Direct Algorithms for Computing the Transitive Closure of Database Relations
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
Materialization and Incremental Update of Path Information
Proceedings of the Fifth International Conference on Data Engineering
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Dual Labeling: Answering Graph Reachability Queries in Constant Time
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Fast and practical indexing and querying of very large graphs
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Fast computing reachability labelings for large graphs with high compression rate
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Efficiently answering reachability queries on very large directed graphs
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
GRAIL: scalable reachability index for large graphs
Proceedings of the VLDB Endowment
Path-tree: An efficient reachability indexing scheme for large directed graphs
ACM Transactions on Database Systems (TODS)
Transitive closure and recursive Datalog implemented on clusters
Proceedings of the 15th International Conference on Extending Database Technology
Pay-as-you-go maintenance of precomputed nearest neighbors in large graphs
Proceedings of the 21st ACM international conference on Information and knowledge management
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Several applications in areas such as biochemistry, GIS, involve storing and querying large volumes of sequential data stored as path collections . There is a number of interesting queries that can be posed on such data. This work focuses on reachability queries: given a path collection and two nodes v s , v t , determine whether a path from v s to v t exists and identify it. To answer these queries, the path-first search paradigm, which treats paths as first-class citizens, is proposed. To improve the performance of our techniques, two indexing structures that capture the reachability information of paths are introduced. Further, methods for updating a path collection and its indices are discussed. Finally, an extensive experimental evaluation verifies the advantages of our approach.