KnowBaSICS-M: an ontology-based system for semantic management of medical problems and computerised algorithmic solutions.
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.
Bratsas
Charalampos
C
Lab of Medical Informatics, Faculty of Medicine, Aristotle University of Thessaloniki, P.O. Box 323, Thessaloniki 54124, Greece. mpampis@med.auth.gr
Koutkias
Vassilis
V
Kaimakamis
Evangelos
E
Bamidis
Panagiotis D
PD
Pangalos
George I
GI
Maglaveras
Nicos
N
D022126:Access to Information; D000465:Algorithms; D001185:Artificial Intelligence; D035843:Biomedical Research / Q000458:organization & administration*; D020000:Decision Support Systems, Clinical / Q000295:instrumentation*; D006115:Greece; D006801:Humans; D016247:Information Storage and Retrieval; D051188:Knowledge Bases; D012660:Semantics; D012984:Software