01773nas a2200277 4500008004100000245004400041210004400085260003000129300001400159490000900173520102400182100001801206700002001224700001601244700001701260700001901277700003101296700001301327700002001340700001601360700001501376700001801391700001801409700001701427856005101444 2010 eng d00aOntology Alignment for Linked Open Data0 aOntology Alignment for Linked Open Data aShanghai, ChinabSpringer a402–4170 v64963 a
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.
1 aJain, Prateek1 aHitzler, Pascal1 aSheth, Amit1 aVerma, Kunal1 aYeh, Peter, Z.1 aPatel-Schneider, Peter, F.1 aPan, Yue1 aHitzler, Pascal1 aMika, Peter1 aZhang, Lei1 aPan, Jeff, Z.1 aHorrocks, Ian1 aGlimm, Birte uhttp://dx.doi.org/10.1007/978-3-642-17746-0_26