Published November 3, 2023
| Version v1
Conference paper
Open
Self-configured Entity Resolution with pyJedAI
Creators
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Efthymiou, Vasilis
(Researcher)1
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Ioannou, Ekaterini
(Researcher)2
- Karvounis, Manos (Researcher)3
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Koubarakis, Manolis
(Researcher)4
- Maciejewski, Jakub (Researcher)4
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Nikoletos, Konstantinos
(Researcher)4
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Papadakis, George
(Contact person)4
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Skoutas, Dimitrios
(Researcher)5
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Velegrakis, Yannis
(Researcher)6
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Zeakis, Alexandros
(Researcher)5
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1.
Foundation for Research and Technology Hellas
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2.
Tilburg University
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3.
Agroknow (Greece)
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4.
National and Kapodistrian University of Athens
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5.
Athena Research and Innovation Center In Information Communication & Knowledge Technologies
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6.
Utrecht University
Description
Entity Resolution has been an active research topic for the last three decades, with numerous algorithms proposed in the literature. However, putting them into practice is often a complex task that requires implementing, combining and configuring complementary individual algorithms into comprehensive end-to-end workflows. To facilitate this process, we are developing pyJedAI, a novel system that provides a unifying framework for any type of main works in the field (i.e., both unsupervised and learning-based ones). Our vision is to facilitate both novice and expert users to use and combine these algorithms through a series of principled approaches for automatically configuring and benchmarking end-to-end pipelines.
Files
JedAIVision.pdf
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