Name
Title | ||
|---|---|---|
Semantic Clustering Based On Ontologies An Application To The Study Of Visitors In A Natural Reserve |
Abstract | ||
|---|---|---|
The development of large ontologies for general and specific domains provides new tools to improve the quality of data mining techniques such as clustering. In this paper we explain how to improve clustering results by exploiting the semantics of categorical data by means of ontologies and how this semantics can be included into a hierarchical clustering method. We want to prove that when the conceptual meaning of the values is taken into account, it is possible to find a better interpretation of the clusters. This is demonstrated with the analysis of real data collected from visitors to of a Natural Reserve. The results of our methodology are compared with the ones obtained with a classical multivariate analysis done in the same database. |
Year | Venue | Keywords |
|---|---|---|
2011 | ICAART 2011: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1 | Ontologies, Numerical and categorical data, Semantic similarity, Clustering, Tourism analysis |
Field | DocType | Citations |
Hierarchical clustering,Ontology (information science),Data mining,Information retrieval,Categorical variable,Computer science,Brown clustering,Multivariate analysis,Cluster analysis,Nature reserve,Semantics | Conference | 3 |
PageRank | References | Authors |
0.39 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Montserrat Batet | 1 | 899 | 37.20 |
| Aïda Valls | 2 | 298 | 38.71 |
| Karina Gibert | 3 | 281 | 34.01 |