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Possible Worlds Explorer: Datalog & Answer Set Programming for the Rest of Us
2019
Datalog
Datalog and Answer Set Programming (ASP) are powerful languages for rule-based querying and constraint solving, respectively. We have developed Possible Worlds Explorer (PWE), an open source Python-based toolkit that employs Jupyter notebooks to make working with Datalog and ASP systems easier and more productive. PWE can parse output from different reasoners (Clingo and DLV) and then run analytical queries over all answer sets or "possible worlds" (PWs), e.g., to calculate relative frequencies
dblp:conf/datalog/GuptaCL19
fatcat:2choamhvw5b5xgzt6ufdsms3vi