Name
Abstract | ||
|---|---|---|
ABSTRACT Ontologies and ,tagging ,systems ,are two ,different ways ,to organize,the knowledge ,present in Web. ,The first one ,has a formal,fundamental ,that derives ,from ,descriptive logic and artificial intelligence. The other one is simpler ,and it integrates heterogeneous contents, and it is based on the collaboration of users in the Web 2.0. In this paper we propose a method to model tagging,systems ,like folksonomies ,using ontologies. In our proposal, structured information (ontologies) can be extracted from,knowledge ,built in a ,simple ,and ,collaborative ,way (folksonomies). Furthermore, we provide an analytical expression to evaluate the system requirements to store the derived ontology. Categories and Subject Descriptors H.1.1 [Models and Principles]: Systems and Information Theory – Information theory. General Terms |
Year | Venue | Keywords |
|---|---|---|
2007 | SAAKM | semantic web,web 2,algorithms,management,information theory,artificial intelligent,description logic,ontologies |
Field | DocType | Citations |
Ontology (information science),Ontology,Information retrieval,Computer science,Ontology Inference Layer,Folksonomy,Natural language processing,Artificial intelligence,System requirements | Conference | 23 |
PageRank | References | Authors |
1.40 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| F. Echarte | 1 | 64 | 6.98 |
| José Javier Astrain | 2 | 84 | 18.39 |
| Alberto Córdoba | 3 | 65 | 10.60 |
| Jesús E. Villadangos | 4 | 92 | 20.12 |
| pamplona navarra spain | 5 | 23 | 1.40 |