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Experimenting ASPen on the Music dataset
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ASPen on the Music dataset
An Experiment of the recently proposed ASP-based System for Collective...
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Additional Info
| Field | Value |
|---|---|
| Associate Project | FAIR |
| 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 Music. Specifically, we describe an ASP specification, execute it on the dataset Music, reporting 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 EU |
| SoBigData Node | SoBigData IT |
| State | Complete |
| Thematic Cluster | Other |
| system:type | Experiment |
Management Info
| Field | Value |
|---|---|
| Author | Cima Gianluca |
| Maintainer | Cima Gianluca |
| Version | 1 |
| Last Updated | 3 March 2025, 18:59 (CET) |
| Created | 31 December 2024, 11:22 (CET) |