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.

Ontology-Based Business Plan Classification

Andrea Bellandi;Barbara Furletti;
2008

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.
Campo DC Valore Lingua
dc.authority.people Miriam Baglioni it
dc.authority.people Andrea Bellandi it
dc.authority.people Barbara Furletti it
dc.authority.people Laura Spinsanti it
dc.authority.people Franco Turini it
dc.collection.id.s 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d *
dc.collection.name 04.01 Contributo in Atti di convegno *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.date.accessioned 2024/02/20 11:10:19 -
dc.date.available 2024/02/20 11:10:19 -
dc.date.issued 2008 -
dc.description.abstracteng 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. -
dc.description.affiliations Dep. of Computer Science - University of Pisa - Italy, School for Advanced Studies I.M.T. Lucca - Italy, School for Advanced Studies I.M.T. Lucca - Italy, ISTI CNR - Pisa - Italy, Dep. of Computer Science - University of Pisa - Italy -
dc.description.allpeople Baglioni, Miriam; Bellandi, Andrea; Furletti, Barbara; Spinsanti, Laura; Turini, Franco -
dc.description.allpeopleoriginal Miriam Baglioni, Andrea Bellandi, Barbara Furletti, Laura Spinsanti, and Franco Turini -
dc.description.fulltext none en
dc.description.numberofauthors 5 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/265115 -
dc.language.iso eng -
dc.relation.conferencename 12th International IEEE Enterprise Distributed Object Computing Conference, 2008 -
dc.title Ontology-Based Business Plan Classification en
dc.type.driver info:eu-repo/semantics/conferenceObject -
dc.type.full 04 Contributo in convegno::04.01 Contributo in Atti di convegno it
dc.type.miur 273 -
dc.ugov.descaux1 272221 -
iris.orcid.lastModifiedDate 2024/04/04 18:19:21 *
iris.orcid.lastModifiedMillisecond 1712247561632 *
iris.sitodocente.maxattempts 10 -
Appare nelle tipologie: 04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/265115
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