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1. Lange M, Spies K, Bargsten J, Haberhauer G, Klapperst├╝ck M, Leps M, Weinel C, W├╝nschiers R, Weissbach M, Stein J, Scholz U: The LAILAPS search engine: relevance ranking in life science databases. J Integr Bioinform; 2010;7(2):110
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  • [Source] The source of this record is MEDLINE®, a database of the U.S. National Library of Medicine.
  • [Title] The LAILAPS search engine: relevance ranking in life science databases.
  • Search engines and retrieval systems are popular tools at a life science desktop.
  • The manual inspection of hundreds of database entries, that reflect a life science concept or fact, is a time intensive daily work.
  • Hereby, not the number of query results matters, but the relevance does.
  • In this paper, we present the LAILAPS search engine for life science databases.
  • The concept is to combine a novel feature model for relevance ranking, a machine learning approach to model user relevance profiles, ranking improvement by user feedback tracking and an intuitive and slim web user interface, that estimates relevance rank by tracking user interactions.
  • Queries are formulated as simple keyword lists and will be expanded by synonyms.
  • Supporting a flexible text index and a simple data import format, LAILAPS can easily be used both as search engine for comprehensive integrated life science databases and for small in-house project databases.
  • With a set of features, extracted from each database hit in combination with user relevance preferences, a neural network predicts user specific relevance scores.
  • Using expert knowledge as training data for a predefined neural network or using users own relevance training sets, a reliable relevance ranking of database hits has been implemented.
  • In this paper, we present the LAILAPS system, the concepts, benchmarks and use cases.
  • LAILAPS is public available for SWISSPROT data at http://lailaps.ipk-gatersleben.de.
  • [MeSH-major] Computational Biology / methods. Databases, Factual. Search Engine / methods. Software
  • [MeSH-minor] Information Storage and Retrieval. User-Computer Interface

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  • (PMID = 20134080.001).
  • [ISSN] 1613-4516
  • [Journal-full-title] Journal of integrative bioinformatics
  • [ISO-abbreviation] J Integr Bioinform
  • [Language] eng
  • [Publication-type] Journal Article; Research Support, Non-U.S. Gov't
  • [Publication-country] Germany
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