TitleKnowBaSICS-M: an ontology-based system for semantic management of medical problems and computerised algorithmic solutions.
Publication TypeJournal Article
Year of Publication2007
AuthorsBratsas, Charalampos, Koutkias Vassilis, Kaimakamis Evangelos, Bamidis Panagiotis, Pangalos George, and Maglaveras Nikos
JournalComput Methods Programs Biomed
Volume88
Issue1
Pagination39-51
Date Published2007 Oct
KeywordsSoftware
Abstract

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.

DOI10.1016/j.cmpb.2007.06.005