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

页码：39 / 51

页数：13

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