Abstract:

More and more unstructured data products are produced,distributed and consumed over the Internet today.Resource Description Framework (RDF) is the Internet resources description standard proposed by W3C,which is quite suitable in describing the unstructured information on Internet.As a consequence,a large number of RDF knowledge bases have been developed,such as Freebase,Yago,DBPedia and so on.RDF knowledge bases contain rich semantic information,which not only label the named entities on Web pages, but also expand semantic information.The task of mapping named entities from web pages to the corresponding entities in knowledge bases is called entity linking.Entity linking includes two main parts: mapping between entities and entity disambiguation.In the paper, we propose an efficient entity linking approach based on the properties of RDF knowledge bases.The algorithms use a simple weighted graph approach to solve the entity disambiguation problem on cloud platform. Experimental results show that our solution is accurate and scalable. 

Key words: RDF knowledge bases;entity linking;graph weighting;entity disambiguation