Science behind

If you use LAILAPS and obtain scientific results that you publish, we would ask you to acknowledge the usage of LAILAPS by referencing the below article!

Selected publications

  • M. Esch et al.:. A Query Suggestion Workflow for Life Science IR-Systems. Journal of Integrative Bioinformatics, 11(2):237, 2014.
  • M. Lange et al.: Information Retrieval in Life Sciences: A Programmatic Survey. In Approaches in Integrative Bioinformatics. Springer, 2014, pp 73-109.
  • H. Mehlhorn et al.: Extraction and prediction of biomedical database identifier using neural networks towards data network construction. In P. Ordez de Pablos, M. D. Lytras, and R. Tennyson, editors, Cases on Open-Linked Data and Semantic Web Applications Information Science Reference (an imprint of IGI Global), 2013
  • A. Bachmann et al.: Extracting Cross References from Life Science Databases for Search Result Ranking. In Proceedings of the 20th ACM Conference on Information and Knowledge Management, 24-28 October 2011.
  • Matthias Lange, Jinbo Chen, Daniela Borck, Christian Colmsee, Klaus Hippe, Benjamin Kormeier, Stephan Weise, and Uwe Scholz. The LAILAPS Information Retrieval Portal as Scalable and Integrative Database Query Endpoint. In Proceedings of the 6th International Symposium on Health Informatics and Bioinformatis, page 37, 2 May 2011
  • M. Lange et al: The LAILAPS Search Engine: A Feature Model for Relevance Ranking in Life Science Databases. Journal of Integrative Bioinformatics, 7(3):e118, 2010
  • M. Lange et al.: The LAILAPS Search Engine: Relevance Ranking in Life Science Databases. Journal of Integrative Bioinformatics. 7(2), 2010.