A statistical and schema independent approach to identify equivalent properties on linked data

@inproceedings{Gunaratna2013ASA,
  title={A statistical and schema independent approach to identify equivalent properties on linked data},
  author={Kalpa Gunaratna and Krishnaprasad Thirunarayan and Prateek Jain and Amit P. Sheth and Sanjaya Wijeratne},
  booktitle={I-SEMANTICS},
  year={2013}
}
Linked Open Data (LOD) cloud has gained significant attention in the Semantic Web community recently. Currently it consists of approximately 295 interlinked datasets with over 50 billion triples including 500 million links, and continues to expand in size. This vast source of structured information has the potential to have a significant impact on knowledge-based applications. However, a key impediment to the use of LOD cloud is limited support for data integration tasks over concepts… CONTINUE READING
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Key Quantitative Results

  • Our evaluation, using sample instance sets taken from Freebase, DBpedia, LinkedMDB, and DBLP datasets covering multiple domains shows that our approach matches properties with high precision and recall (on average, F measure gain of 57% - 78%).

Citations

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Showing 1-10 of 13 extracted citations

Instance-Driven Property Alignment in Linked Open Data Cloud

2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD)) • 2018
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Semantic Data Integration

Handbook of Big Data Technologies • 2017
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Alignment and dataset identification of linked data in Semantic Web

Wiley Interdiscip. Rev. Data Min. Knowl. Discov. • 2014
View 5 Excerpts

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