Detalhes bibliográficos
| Autor(a) principal: |
Santarem Segundo, José Eduardo [UNESP] |
| Data de Publicação: |
2010 |
| Tipo de documento: |
Tese
|
| Idioma: |
por |
| Título da fonte: |
Repositório Institucional da UNESP |
| Texto Completo: |
http://hdl.handle.net/11449/103346
|
Resumo: |
The information retrieval has been much discussed and addressed in information science in recent years, especially after the information explosion created by the Internet. The search for quality information and compatible with the need of user has been treated as an obsession now. The use of the Internet indicated a new type of store information, such as digital repositories, which have been used in academic and research as the main way to autoarchive, and especially to disseminate information, but with an information structure that suggests a better description resources than the Web itself and indicates a better retrieval of information in these environments. The repositories are not yet able to retrieve information in a semantic and context. The new paradigm suggests the use of Internet resources of Web 2.0 as well as Web 3.0, allowing, respectively, interactivity, and also the structure of semantic information. Thus the objective of this research is to improve the process of information retrieval, with a proposed structural model in the context of the Semantic Web, addressing the use of Web 2.0 and Web 3.0 in digital repositories, enabling semantic retrieval of information through construction of a layer of information called Representação Iterativa. The model suggested and proposed ─ Representação Iterativa ─ you can adapt to the digital repositories using Folksonomy and also controlled vocabulary of the field in order to generate an iterative layer information, which allows feedback information, and semantic retrieval of information, through the structural model designed for repositories. The model suggested resulted in the realization of the thesis that through Representação Iterativa is possible to establish a process of semantic retrieval of information in digital repositories. |