LivingKnowledge goal is to bring a new quality into search and knowledge management technology for more concise, complete and contextualised search results.
The paper “Effective and Efficient Entity Search in RDF data” co-written by R. Blanco, P. Mika, and S. Vigna has been presented in the 10th International Semantic Web Conference 2011 ISWC 2011, in Bonn, Germany, on October 23-27, 2011.
Triple stores have long provided RDF storage as well as data access using expressive, formal query languages such as SPARQL. The new end users of the Semantic Web, however, are mostly unaware of SPARQL and overwhelmingly prefer imprecise, informal keyword queries for searching over data. At the same time, the amount of data on the Semantic Web is approaching the limits of the architectures that provide support for the full expressivity of SPARQL. These factors combined have led to an increased interest in semantic search, i.e. access to RDF data using Information Retrieval methods. In this work, we propose a method for eﬀective and eﬃcient entity search over RDF data. We describe an adaptation of the BM25F ranking function for RDF data, and demonstrate that it outperforms other state-of-the-art methods in ranking RDF resources. We also propose a set of new index structures for
eﬃcient retrieval and ranking of results. We implement these results using the open-source MG4J framework.