KnowBaSICS-M: An ontology-based system for semantic management of medical problems and computerised algorithmic solutions

被引：22
|
作者：
Bratsas, Charalarnpos
Koutkias, Vassilis
Kairnakamis, Evangelos
Bamidis, Panagiotis D.
Pangalos, George I.
Maglaveras, Nicos
机构：
[1] Aristotle Univ Thessaloniki, Fac Med, Lab Med Informat, GR-54124 Thessaloniki, Greece
[2] Aristotle Univ Thessaloniki, Fac Technol, Comp Div, Informat Lab, Thessaloniki, Greece
来源：
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2007年 / 88卷 / 01期
关键词：
medical computational problems; semantic description; knowledge-based system; ontology-based information; retrieval; VSM-based semantic similarity; UMLS;
D O I：
10.1016/j.cmpb.2007.06.005
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, an ontology-based system (KnowBaSICS-M) is presented for the semantic management of Medical Computational Problems (MCPs), i.e., medical problems and computerised algorithmic solutions. The system provides an open environment, which: (1) allows clinicians and researchers to retrieve potential algorithmic solutions pertinent to a medical problem and (2) enables incorporation of new MCPs into its underlying Knowledge Base (KB). KnowBaSICS-M is a modular system for MCP acquisition and discovery that relies on an innovative ontology-based model incorporating concepts from the Unified Medical Language System (UMLS). Information retrieval (IR) is based on an ontology-based Vector Space Model (VSM) that estimates the similarity among user-defined MCP search criteria and registered MCP solutions in the KB. The results of a preliminary evaluation and specific examples of use are presented to illustrate the benefits of the system. KnowBaSICS-M constitutes an approach towards the construction of an integrated and manageable MCP repository for the biomedical research community. (c) 2007 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码：39 / 51
页数：13
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