Open AccessAutomated structuring of company profiles
Author(s) -
Peter Ljubič,
Nada Lavrač,
Dunja Mladenić,
Joël Plisson,
Igor Mozetič
Publication year - 2006
Publication title -
metodološki zvezki
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.127
H-Index - 7
eISSN - 1854-0031
pISSN - 1854-0023
DOI - 10.51936/keqv9637
Subject(s) - structuring , conceptualization , ontology , computer science , selection (genetic algorithm) , resource (disambiguation) , knowledge management , visualization , cluster analysis , process ontology , data science , data mining , artificial intelligence , computer network , philosophy , finance , epistemology , economics
Selection of partners with appropriate competencies, resources and skills is one of the crucial tasks in the creation of virtual organizations. Partner selection can be facilitated by structuring competencies in an ontology which provides a shared conceptualization. Manual ontology construction is a time and resource consuming activity. Alternatively, there are text mining, conceptual clustering and visualization tools available that can be used for semi-automated ontology creation. This paper proposes a methodology and presents tools which facilitate competency structuring from unstructured company data. These tools have been applied to the reconstruction of the Yahoo! business ontology.