Knowledge representation and indexing using the unified medical language system.

Ontologies and semantic frameworks can be used to improve the accuracy and expressiveness of natural language processing for the purpose of extracting meaning from technical documents. This is especially true when a rich ontology such as the Unified Medical Language System (UMLS) is available. This paper reports on some tools being developed to make this possible and on some experience with a user interface based on ontologies and semantic networks that allows for interactive knowledge exploration.

[1]  Dan Brickley,et al.  Resource Description Framework (RDF) Model and Syntax Specification , 2002 .

[2]  C. Osgood,et al.  The Measurement of Meaning , 1958 .

[3]  Kathleen Dahlgren,et al.  A linguistic ontology , 1995, Int. J. Hum. Comput. Stud..

[4]  Steffen Schulze-Kremer,et al.  Ontologies for Molecular Biology , 2001, Electron. Trans. Artif. Intell..

[5]  Natalya Fridman Noy,et al.  Knowledge representation for intelligent information retrieval in experimental sciences , 1998 .

[6]  C. Fellbaum.  An Electronic Lexical Database , 1998 .

[7]  Christiane Fellbaum,et al.  Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.

[8]  Carole D. Hafner,et al.  Ontological Foundations for Biology Knowledge Models , 1996, ISMB.

[9]  B L Humphreys,et al.  The UMLS project: making the conceptual connection between users and the information they need. , 1993, Bulletin of the Medical Library Association.

[10]  K Baclawski,et al.  Database techniques for biological materials & methods. , 1993, Proceedings. International Conference on Intelligent Systems for Molecular Biology.

[11]  D. Lindberg,et al.  The Unified Medical Language System , 1993, Methods of Information in Medicine.

[12]  Ben Shneiderman,et al.  Designing The User Interface , 2013 .

[13]  Kenneth Baclawski,et al.  Database Techniques for Biological Materials and Methods , 1993, ISMB.

[14]  T. Takagi,et al.  Toward information extraction: identifying protein names from biological papers. , 1998, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

[15]  Wendy G. Lehnert,et al.  Information extraction , 1996, CACM.

[16]  Kenneth Baclawski,et al.  Creating a Knowledge Base of Biological Research Papers , 1994, ISMB.

[17]  Key-Sun Choi,et al.  Natural Language Understanding in Neural Net , 1990 .

[18]  Natalya Fridman,et al.  Data/knowledge Bases for Biological Papers and Techniques , 1993 .

[19]  Nicola Guarino,et al.  Semantic Matching: Formal Ontological Distinctions for Information Organization, Extraction, and Integration , 1997, SCIE.

[20]  G Gamba.  [Molecular biology in medicine. X. DNA chips]. , 1997, Revista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion.