Abstract
Due to the impressive growing of the LOD graph in the last years, assuring the quality of its content is becoming a very important issue. Thus, it is crucial to design techniques for supporting experts in validating facts and links in complex data sources. Here, we focus on identity links (sameAs) and apply argumentation semantics to (i) detect inconsistencies in sameAs statements and to (ii) explain them to the experts using dialogues. We formalize the framework, explaining its purposes. Finally we provide a promising preliminary evaluation and discuss on some interesting future directions we foresee.
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Notes
- 1.
Experiment, at this moment, with one domain expert.
- 2.
Exponential in the size of the facts in the knowledge base.
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Acknowledgments
The authors acknowledge the support of ANR grants ASPIQ (ANR-12- BS02-0003), QUALINCA (ANR-12-0012) and DURDUR (ANR-13-ALID-0002). The work of the second author has been carried out in a part of the research delegation at INRA MISTEA Montpellier and INRA IATE CEPIA Axe 5 Montpellier.
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Arioua, A., Croitoru, M., Papaleo, L., Pernelle, N., Rocher, S. (2016). On the Explanation of SameAs Statements Using Argumentation. In: Schockaert, S., Senellart, P. (eds) Scalable Uncertainty Management. SUM 2016. Lecture Notes in Computer Science(), vol 9858. Springer, Cham. https://doi.org/10.1007/978-3-319-45856-4_4
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