Title :
Ontology-Based Business Plan Classification
Author :
Baglioni, Miriam ; Bellandi, Andrea ; Furletti, Barbara ; Spinsanti, Laura ; Turini, Franco
Author_Institution :
Dept. of Comput. Sci., Univ. of Pisa, Pisa
Abstract :
The problem of providing small and medium enterprises (SMEs) with good self-assessment tools is becoming more and more urgent every day, not only because of increasing market competition, but also because of new rules for credit granting, as for example the ones referred to as Basel II.One of the critical issues in designing supporting tools is the quality of the knowledge embedded in them. We maintain that a better quality of decisions can be obtained by exploiting not only quantitative information but also qualitative information and expert knowledge. Here we present a system able to classify the quality of innovation plans of SMEs by exploiting both quantitative and qualitative knowledge embedded in ontology. The ontological approach allows representing qualitative knowledge in a very natural way and, as a consequence, we are able to elicit it by means that are natural for SME officers, as for example questionnaires.
Keywords :
innovation management; ontologies (artificial intelligence); small-to-medium enterprises; Basel II; business plan classification; credit granting; innovation plan quality; ontology; self-assessment tools; small and medium enterprises; Buildings; Classification tree analysis; Computer science; Distributed computing; Information analysis; Machine learning; Merging; Ontologies; Proposals; Technological innovation; Business documents Classification; Ontology; SMEs self-assessment;
Conference_Titel :
Enterprise Distributed Object Computing Conference, 2008. EDOC '08. 12th International IEEE
Conference_Location :
Munich
Print_ISBN :
978-0-7695-3373-5
DOI :
10.1109/EDOC.2008.30