Name
Abstract | ||
|---|---|---|
Ontologies have been shown to be one of the best mechanisms to represent knowledge within a domain for later reasoning and inferring new knowledge that may not be initially explicitly stated. Most of the research works focus on the representation of a particular domain, thus designing and building domain ontologies (e.g. tourism, medical, etc.). However, the development of task-oriented ontologies may be more appropriate, since they can be applied to different domains, avoiding the limitation of the ad-hoc ontologies. Therefore, the goal of this paper is to present a task-oriented ontology, with the purpose of capturing the semantics of a document, in order to be used for Natural Language Processing applications, and more specifically, for the automatic generation of personalized information. The preliminary evaluation and validation of our ontology through a wide range of competence questions clearly shows its potentiality to extract the information according to specific information needs. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.5220/0005586001550162 | KEOD |
Field | DocType | Citations |
Data mining,Ontology,Computer science,Knowledge management,Natural language processing,Artificial intelligence,Ontology (information science),Ontology-based data integration,Process ontology,IDEF5,Upper ontology,Ontology components,Web Ontology Language | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elena Lloret | 1 | 229 | 29.82 |
| Yoan Gutiérrez | 2 | 88 | 23.53 |
| J. M. Gómez | 3 | 0 | 0.68 |