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PTAB for Top-k Subgraph Matching

Introduction

This algorithm is built on the gStore system, you can see it for more instruction on how to use this system. The implementations of algorithms can be found at Database/Optimizer and Query/topk.

Build

After download the source codes, build the PTAB by:

make -j pre
make -j

How to Use PTAB

Prepare Dataset if Needed

If needed, you should clean your dataset and make sure every node only has one label (type). The codes in folder PrepareDataset helps for that. You can build a database on the uncleaned dataset and output the needed records. Then rebuild the database on the cleaned datasets.

Build the Database and HopIndex

Use ./bin/gbuild [db_name] [db_file_path] to build the database. Then use ./bin/indexBuilder [db_name] to build the hop index (the parameter $H$ is default to be $2$).

Run Top-k Subgraph Matching Query

You can input the top-k subgraph matching query with the following format:

select [returned variable 1] [returned variable 2] ...
where { pattern 1. pattern 2. ...}
order by [score_function] limit [k]

An example:

select ?v0 ?v1 ?v2 ?N1 ?N2 where {
  ?upt <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://www4.wiwiss.fu-berlin.de/bizer/bsbm/v01/vocabulary/ProductType>.
  ?v0 <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> ?upt.
  ?v0 <http://purl.org/dc/elements/1.1/publisher> ?v1 .
  ?v0 <http://purl.org/dc/elements/1.1/date> ?v2 .
  ?v0 <http://www4.wiwiss.fu-berlin.de/bizer/bsbm/v01/vocabulary/productPropertyNumeric1> ?N1.
  ?v0 <http://www4.wiwiss.fu-berlin.de/bizer/bsbm/v01/vocabulary/productPropertyNumeric5> ?N2.
} order by (?N1 - ?N2) limit 5

And the shell command is:

./bin/gquery [db_name] [query_path] [result_path] [top-k_method]

The top-k_method specify the top-k execution method. The available methods are:

  • PTAB, the method introduced in our paper.
  • DP-B.
  • kTPM.
  • SAE.
  • Take-all.
  • Take2.
  • Eager.
  • Naive (sort after matching). PATB is the default method.