Paper Info
Title
Evaluating the validity of data instances against ontology evolution over the Semantic Web
Abstract
It is natural for ontologies to evolve over time. These changes could be at structural and semantic levels. Due to changes to an ontology, its data instances may become invalid, and as a result, may become non-interpretable. In this paper, we address precisely this problem, validity of data instances due to ontological evolution. Towards this end, we make the following three novel contributions to the area of Semantic Web. First, we propose formal notions of structural validity and semantic validity of data instances, and then present approaches to ensure them. Second, we propose semantic view as part of an ontology, and demonstrate that it is sufficient to validate a data instance against the semantic view rather than the entire ontology. We discuss how the semantic view can be generated through an implication analysis, i.e., how semantic changes to one component imply semantic changes to other components in the ontology. Third, we propose a validity identification approach that employs locally maintaining a hash value of the semantic view at the data instance.
Year
DOI
Venue
2009
10.1016/j.infsof.2008.01.004
Information & Software Technology
Keywords
Field
DocType
semantic view,ontology evolution,semantic validity,semantic web,data instance,data validity,semantic level,formal notion,semantic change,structural validity,entire ontology,validity identification approach,data validation
Semantic similarity,Ontology-based data integration,Data mining,Information retrieval,Semantic Web Stack,Computer science,Semantic interoperability,Semantic equivalence,Upper ontology,Semantic computing,Semantic data model
Journal
Volume
Issue
ISSN
51
1
Information and Software Technology
Citations 
PageRank 
References 
18
0.89
14
Authors
2
Name
Order
Citations
PageRank
Li Qin111210.25
Vijayalakshmi Atluri23256424.98