DocumentCode
2970723
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
fYear
2008
fDate
15-19 Sept. 2008
Firstpage
365
Lastpage
371
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Enterprise Distributed Object Computing Conference, 2008. EDOC '08. 12th International IEEE
Conference_Location
Munich
ISSN
1541-7719
Print_ISBN
978-0-7695-3373-5
Type
conf
DOI
10.1109/EDOC.2008.30
Filename
4634789
Link To Document