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Experimenting ASPen on the Pokémon dataset

It has been recently proposed ASPen: an Answer Set Programming (ASP) encoding for LACE, which is a novel declarative approach to Collective Entity Resolution in the classical relational database setting. Here, we report an experiment evaluating ASPen on the dataset Pokémon. Specifically, we describe an ASP specification, execute it on the dataset Pokémon, and report the running time, precision, and recall of the derived solutions made of merges of constants.

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  • ASPen on the Pokémon dataset

    An Experiment of the recently proposed ASP-based System for Collective...

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Associate Project FAIR
Detailed description It has been recently proposed ASPen: an Answer Set Programming (ASP) encoding for LACE, which is a novel declarative approach to Collective Entity Resolution in the classical relational database setting. Here, we report an experiment evaluating ASPen on the dataset Pokémon. Specifically, we describe an ASP specification, execute it on the dataset Pokémon, and report the running time, precision, and recall of the derived solutions made of merges of constants. The experiments show that ASPEN can successfully handle some real-world ER scenarios. However, scalability remains an issue, and we expect that both general purpose and dedicated optimizations will be needed to be able to scale up to larger datasets and support even more complex reasoning over ER solutions.
Ethical issues none
Group Others
Involved Institutions University of Bordeaux
Involved Institutions CNRS
Involved Institutions Japanese-French Laboratory for Informatics
Involved Institutions Sapienza University of Rome
Involved Institutions Cardiff University
Involved People Cima, Gianluca, cima@diag.uniroma1.it, orcid.org/0000-0003-1783-5605
SoBigData Node SoBigData IT
SoBigData Node SoBigData EU
State Complete
Thematic Cluster Other
system:type Experiment
Management Info
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Author Cima Gianluca
Maintainer Cima Gianluca
Version 1
Last Updated 13 March 2025, 11:46 (CET)
Created 13 March 2025, 09:45 (CET)