Document Type
Presentation
Publication Date
11-2010
Abstract
The Web of Data currently coming into existence through the Linked Open Data (LOD) effort is a major milestone in realizing the Semantic Web vision. However, the development of applications based on LOD faces difficulties due to the fact that the different LOD datasets are rather loosely connected pieces of information. In particular, links between LOD datasets are almost exclusively on the level of instances, and schema-level information is being ignored. In this paper, we therefore present a system for finding schema-level links between LOD datasets in the sense of ontology alignment. Our system, called BLOOMS, is based on the idea of bootstrapping information already present on the LOD cloud. We also present a comprehensive evaluation which shows that BLOOMS outperforms state-of-the-art ontology alignment systems on LOD datasets. At the same time, BLOOMS is also competitive compared with these other systems on the Ontology Evaluation Alignment Initiative Benchmark datasets.
Repository Citation
Jain, P.,
Hitzler, P.,
Sheth, A. P.,
Verma, K.,
& Yeh, P. Z.
(2010). Ontology Alignment for Linked Open Data. .
https://corescholar.libraries.wright.edu/knoesis/520
DOI
10.1007/978-3-642-17746-0_26
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
Presented at the 9th International Semantic Web Conference, Shanghai, China, November 7-10, 2010.
Presented in tandem with a paper published by Spring, found at http://dx.doi.org/10.1007/978-3-642-17746-0_26.