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News Discussion: Semantic Web
Foundational challenges in automated semantic Web data and ontology cleaning

A paper where authors analyse the problem of building a Semantic Web (from a computational logic perspective): “Foundational challenges in automated semantic Web data and ontology cleaning”.

Nowadays, Web-based data management needs tools to ensure secure, trustworthy performance. The Utopian future shows a semantic Web providing dependable framework that can solve many of today’s data problems. However, the realistic immediate future raises several challenges, including foundational semantic Web issues, the abstract definition of data, and incomplete, evolving ontologies. In either case, the marriage of data and ontologies is indissoluble and represents the knowledge database (KDB), a basic ingredient of the semantic Web. In this article, we look closely at problems in data analysis, the first phase of data cleaning. Applying automated reasoning systems to semantic Web data cleaning and to cleaning-agent design raises many challenges. We can build trust in semantic Web logic only if it’s based on certified reasoning.

Foundational challenges in automated semantic Web data and ontology cleaning
Alonso-Jimene, J.A. Borrego-Diaz, J. Chavez-Gonzalez, A.M. Martin-Mateos, F.J.
Comput. Sci. & Artificial Intelligence Dept., Univ. de Sevilla, Spain;

This paper appears in: Intelligent Systems, IEEE
Publication Date: Jan.-Feb. 2006
Volume: 21, Issue: 1
On page(s): 42- 52
ISSN: 1541-1672
INSPEC Accession Number: 8926471
Digital Object Identifier: 10.1109/MIS.2006.7
Current Version Published: 2006-02-06

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