title: A method for supporting retrieval of articles on protein structure analysis considering users' intention.
abstract: BACKGROUND
  In recent years, information about protein structure and function is described in a large amount of articles. However, a naive full-text search by specific keywords often fails to find desired articles, because the articles involve the ambiguous and complicated concepts that cannot be described with uniform representation. For retrieving articles on protein structure and function, it is important to consider the relevance between structural and/or functional concepts by identifying the user's intention.
  
  
  RESULTS
  We introduce a scheme of evaluating relevance between articles based on various biological databases and ontologies on structures and functions of proteins. The relevance, which is defined as a path length between concepts on hierarchies, is modified adaptively based on additional articles as a query in order to reflect the user's intention. Also we implemented the retrieval system, in which the user can input some articles as a query and the related articles are retrieved and displayed on the 2D map.
  
  
  CONCLUSIONS
  The effectiveness of the proposed system was confirmed experimentally by having shown that the users can obtain easily highly related articles which reflect their intention.
authors.affiliation: Graduate School of System Informatics, Kobe University, Rokkodai, Nada, Kobe 657-8501, Japan. kyogoku@cs25.scitec.kobe-u.ac.jp
authors.forename: Riku
authors.initials: R
authors.lastname: Kyogoku
authors.forename: Ryo
authors.initials: R
authors.lastname: Fujimoto
authors.forename: Tomonobu
authors.initials: T
authors.lastname: Ozaki
authors.forename: Takenao
authors.initials: T
authors.lastname: Ohkawa
mesh_terms: D030562:Databases, Protein; D005069:Evaluation Studies as Topic; D016247:Information Storage and Retrieval / Q000379:methods*; D010506:Periodicals as Topic; D011487:Protein Conformation; D014584:User-Computer Interface