Hi everyone, This week, RPQ in Datalog is finally online, the advantage of Datalog is that it can be easily extended to CRPQ. CRPQ is the combination of RPQs, which can be simply written down as a single datalog rule, along with some constains. This technique can be used Continue reading Week 8 Report
Hi everyone, This week, we keep working on the Yaxing’s example with more challenge queries. We came up with a more complex query to test the power of general RPQ/2. The query is like this: “Now we need to run a new version of tool “ArcGIS”, which data in csv Continue reading Week 7 Report
Hi All, Last week, we start with a Postgres based system to implement RPQ queries. This week, we are trying to apply it to an example. So Yaxing, one of our group member, provided couple of conceptual workflows to query. They are from the actual “scientific” world, we pick the Continue reading Week 6 report
Hi All, Midterm is approaching! Well, most of the students won’t be happy to hear that, but anyway, we achieved couple of things in the first half and we’ll try to accomplish more in the second half. This week, we took a look at the First Provenance Challenge workflow trace and example traces Continue reading Week 5 Report
Hi all, After the F2F meeting, we start to put everything together and work at full scale. The first thing is to define what’s the outcome of the this summer. While our goal is to build a system that can run some queries on the workflow traces or the workflow Continue reading Week 4 Report
Hi All. This week, I attended the ProvWG F2F meeting and IPAW. ProvWG stands for Provenance Working Group of DataONE. During the meeting, we talked about D-OPM model and two major use cases along with the future plan especially for the summer intern project. IPAW is short for International Provenance and Continue reading Week 3 Report
Object: Setting up RPQ engine develped by Michael Wang and run some example on it. Description: This engine provides a platform of RPQ against relational databases. RPQ will be translated to SQL queries and executed on postgresql database. Also this engine is built for querying provenance, with couple of following Continue reading Week 2 Report
Object: Exploring literature focusing on the following topic: 1. Graph queries and structure 2. Regular Path Queries (RPQ) 3. DataONE Open Provenance Modle(D-OPM) Reading related papers and write a summary. Selected papers: [1] P. Wood, Query languages for graph databases. [2] S. Dey, S. kohler, S. Bowers, B. Ludaescher, Datalog Continue reading Week 1 Report
Welcome to DataONE Notebooks. This is your first post. Edit or delete it, then start blogging!