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Foundational Challenges in Automated Semantic Web Data and Ontology Cleaning
January/February 2006 (vol. 21 no. 1)
pp. 42-52
Jos? A. Alonso-Jim?nez, Universidad de Sevilla
Joaqu? Borrego-D?az, Universidad de Sevilla
Antonia M. Ch?vez-Gonz?lez, Universidad de Sevilla
Francisco J. Mart?n-Mateos, Universidad de Sevilla
Applying automated reasoning systems to data cleaning in the Semantic Web raises many foundational challenges regarding cleaning-agent design. The authors discuss these challenges and then argue that we can achieve logic trust in the Semantic Web only if it's based on certified reasoning.

This article is part of the special issue entitled AI, Agents, and the Web.

Index Terms:
data cleaning, Semantic Web, certified reasoning
Citation:
Jos? A. Alonso-Jim?nez, Joaqu? Borrego-D?az, Antonia M. Ch?vez-Gonz?lez, Francisco J. Mart?n-Mateos, "Foundational Challenges in Automated Semantic Web Data and Ontology Cleaning," IEEE Intelligent Systems, vol. 21, no. 1, pp. 42-52, Jan.-Feb. 2006, doi:10.1109/MIS.2006.7
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