Effective Medical Resources Searching Using an Ontology-Driven Medical Information Retrieval System: H1N1 case study

Purpose – As international users increase rapidly, multilingual systems have become a very important service for global users. The purpose of this paper is to design and implement an ontology‐driven medical information retrieval (OMIR) system by building a medical ontology based on the Centers for Disease Control and Prevention's (CDC) medical records.Design/methodology/approach – A traditional cataloging scheme is used as a navigation menu in the CDC system. This traditional cataloging scheme is transformed to a unique medical ontology for global users in the OMIR system. An experimental study was conducted on both an ontology‐driven medical information system (OMIR) and the CDC system.Findings – The medical ontology can be used to filter out unsuitable resources based on semantic relationships. In addition, the recommended resources can be categorized and provide the patron with different languages to access resources. The OMIR system provides better relevancy and shorter search times compared with alte...

[1]  Jürgen Beier,et al.  Navigation and interaction in medical knowledge spaces using topic maps , 2001, CARS.

[2]  F Guillén-Grima,et al.  Efficient bibliographic searches on allergology using PubMed. , 2007, Allergologia et immunopathologia.

[3]  Catherine M. Burns,et al.  Modeling a medical environment: an ontology for integrated medical informatics design , 2001, Int. J. Medical Informatics.

[4]  Jan de Leeuw.  MIXED LINEAR MODELS , 2005 .

[5]  Ton J. Cleophas,et al.  Mixed Linear Models , 2013 .

[6]  Cord Spreckelsen,et al.  The publication echo: Effects of retrieving literature in PubMed by year of publication , 2010, Int. J. Medical Informatics.

[7]  Evgenia Vassilakaki,et al.  Multilingual Digital Libraries: A review of issues in system-centered and user-centered studies, information retrieval and user behavior , 2013 .

[8]  Jorge S. Cardoso.  Developing Course Management Systems Using The Semantic Web , 2007, The Semantic Web: Real-World Applications from Industry.

[9]  Arlene G. Taylor,et al.  The Organization of Information , 1999 .

[10]  W. Bruce Croft,et al.  Resolving ambiguity for cross-language retrieval , 1998, SIGIR '98.

[11]  Anthony S. Bryk,et al.  Hierarchical Linear Models: Applications and Data Analysis Methods , 1992 .

[12]  Marcia Lei Zeng,et al.  Trends and issues in establishing interoperability among knowledge organization systems , 2004, J. Assoc. Inf. Sci. Technol..

[13]  Rajka Bućin,et al.  Taylor, A.G. The Organization of Information. Westport, Connecticut, London : Libraries Unlimited, 2004. , 2008 .

[14]  James A. Hendler,et al.  A Framework for Web Science , 2006, Found. Trends Web Sci..

[15]  M. Paul Lewis.  How many languages are there in the world , 2012 .

[16]  G O Barnett,et al.  Interactive Query Workstation: standardizing access to computer-based medical resources. , 1991, Computer methods and programs in biomedicine.

[17]  Wen-Hsiang Lu,et al.  Using Web resources to construct multilingual medical thesaurus for cross-language medical information retrieval , 2008, Decis. Support Syst..

[18]  Yi Su,et al.  TREC-9 CLIR Experiments at MSRCN , 2000, TREC.

[19]  Geert Molenberghs,et al.  Linear Mixed Models , 2011, International Encyclopedia of Statistical Science.

[20]  Myongho Yi,et al.  Maximizing transformation between people and information using ontology: Discovering anaerobic microbiology through ontological relationships , 2008, ASIST.

[21]  Myongho Yi,et al.  Information organization and retrieval using a topic maps-based ontology: Results of a task-based evaluation , 2008, J. Assoc. Inf. Sci. Technol..

[22]  Liana Stanescu,et al.  Topic Map for Medical E-Learning , 2008, IDC.

[23]  Wacław Kunierczyk,et al.  Taxonomy-based partitioning of the Gene Ontology , 2008 .

[24]  Steffen Staab,et al.  What Is an Ontology? , 2009, Handbook on Ontologies.