While Lucene has long offered these capabilities, its native capabilities are not intended for large semi-structured document collections (or documents with very different schemas). For this reason we developed SIREn - Semantic Information Retrieval Engine - a Lucene plugin to overcome these shortcomings and efficiently index and query RDF, as well as any textual document with an arbitrary amount of metadata fields.
J. Waitelonis, and H. Sack. Proceedings of International Conference on Semantic Systems (i-semantics), September 2-4, 2009, Graz, Austria, Verlag der TU Graz, Austria, (2009)
J. Waitelonis, and H. Sack. Proceedings of the 2nd IEEE International Workshop on Data Semantics for Multimedia Systems and Applications (DSMSA), in conjunction with IEEE International Symposium on Multimedia (ISM), 14-16 December, 2009, San Diego, California, USA, page 540--545. IEEE Computer Society, (2009)
J. Waitelonis, N. Ludwig, and H. Sack. Proceedings of 5th International Conference on Semantic and Digital Media (SAMT 2010), December 1-3, 2010, DFKI Saarbrücken, Germany, (2010)
J. Waitelonis, M. Knuth, L. Wolf, J. Hercher, and H. Sack. Proceedings of the Workshop on Linked Data in the Future Internet at the Future Internet Assembly, December 16-17, 2010, Ghent, Belgium, CEUR Workshop Proceedings, 700, (2010)
H. Sack. Proceedings of SWAP 2005, the 2nd Italian Semantic Web Workshop, CEUR Workshop Proceedings (2005), volume 166 of CEUR Workshop Proceedings, Trento, Italy, CEUR-WS.org, (December 2005)
S. Linckels, H. Sack, and C. Meinel. in Proc. Workshop on Service Matchmaking and Resource Retrieval (SMR 2007) at the 6 th International Semantic Web Conference (ISWC + ASWC 2007), (November 2007)