%0 Book Section %1 ontologylearning %A Velardi, Paola %A Navigli, Roberto %A Cucchiarelli, Alessandro %A Neri, Francesca %B Ontology Learning from Text: Methods, Applications and Evaluation %D 2006 %E Buitelaar, Paul %E Cimiano, Philipp %E Magnini, Bernardo %I IOS Press %K CDM:Ontology-Learning Evaluation OntoLearn collection:Artificial_Intelligence methodology ontologies population %T Evaluation of OntoLearn, a methodology for automatic population of domain ontologies %X Ontology evaluation is a critical task, even more so when the ontology is the output of an automatic system, rather than the result of a conceptualization effort produced by a team of domain specialists and knowledge engineers. This pa- per provides an evaluation of the OntoLearn ontology learning system. The pro- posed evaluation strategy is twofold: first, we provide a detailed quantitative anal- ysis of the ontology learning algorithms. Second, we automatically generate nat- ural language descriptions of formal concept specifications in order to facilitate per-concept qualitative analysis by domain specialists.

@incollection{ontologylearning, abstract = {Ontology evaluation is a critical task, even more so when the ontology is the output of an automatic system, rather than the result of a conceptualization effort produced by a team of domain specialists and knowledge engineers. This pa- per provides an evaluation of the OntoLearn ontology learning system. The pro- posed evaluation strategy is twofold: first, we provide a detailed quantitative anal- ysis of the ontology learning algorithms. Second, we automatically generate nat- ural language descriptions of formal concept specifications in order to facilitate per-concept qualitative analysis by domain specialists. }, added-at = {2008-07-29T03:08:24.000+0200}, author = {Velardi, Paola and Navigli, Roberto and Cucchiarelli, Alessandro and Neri, Francesca}, biburl = {https://www.bibsonomy.org/bibtex/2c0f8facb7ff483edffbb8258befe076c/franzkurfess}, booktitle = {Ontology Learning from Text: Methods, Applications and Evaluation}, editor = {Buitelaar, Paul and Cimiano, Philipp and Magnini, Bernardo}, interhash = {4966cb5f98b8682d6a6598726a4f2dfe}, intrahash = {c0f8facb7ff483edffbb8258befe076c}, keywords = {CDM:Ontology-Learning Evaluation OntoLearn collection:Artificial_Intelligence methodology ontologies population}, publisher = {IOS Press}, timestamp = {2008-07-29T03:08:24.000+0200}, title = {Evaluation of {OntoLearn}, a methodology for automatic population of domain ontologies}, year = 2006 }