An interlinking approach based on domain recognition for Linked Data

The problem of interlinking datasets in, and with the Linked Open Data cloud has been one of major challenges and an important research subject in the Semantic Web. The interlinking is frequently addressed on existing data. The proposed approach, however, suggests a system to verify in first place the existence of the Uniform Resource Identifier of the resource being published in the cloud in order to establish links with it. The overall aim of the research is designing a system to facilitate the follow of the best practices and recommendation in publishing data into the Linked Open Data cloud. The main contribution of the presented paper is the use of the domain to allocate variable weights in measuring the similarity of the instances, according to the significance of their properties in defining the identity of the dataset.