Data Conflict Resolution among Same Entities in Web of Data

Mojgan Askarizade, Mohammad Ali Nematbakhsh, Enseih Davoodi Jam


With the growing amount of published RDF datasets on similar domains, data conflict between similar entities (same-as) is becoming a common problem for Web of Data applications. In this paper we propose an algorithm to detect conflict of same properties values of similar entities and select the most accurate value. The proposed algorithm contains two major steps. The first step filters out low ranked datasets using a link analysis technique. The second step calculates and evaluates the focus level of a dataset in a specific domain. Finally, the value of the top ranked dataset is considered. The proposed algorithm is implemented by Java Platform and is evaluated by geographical datasets containing "country" entities.


Semantic Web, Linked Data, data conflict, ranking, same entities

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