Knowledge integration in collaborative environments using supervised ontological alignment

Natale L.P.; Omar N.

Knowledge integration in collaborative environments using supervised ontological alignment

Tipo

Artigo de evento

Data de publicação

2017

Periódico

Advances in Intelligent Systems and Computing

Citações (Scopus)

1

Autores

Natale L.P.
Omar N.

Resumo

© Springer International Publishing AG 2017.The increasing demand for new technologies allow greater interac-tivity and participation of people in online environments. This interaction occurs, mainly, by social relationships in different levels, and the multimedia resource’s search and sharing. These interactions produce a large amount of data and information. These have provided the rise of social networks, which operate with information and resource sharing tools. The information and resources produced in these collaborative environments are heterogeneous in essence, and stored in different kinds of data repositories. In order to provide a more easily and efficient way to found and share those data more efficiently, those repositories must be integrated in a single uniform format, automatically, and negotiated safe. Based on these aspects, this paper proposes ontological alignment method that allow integrate semantically different data and information repositories through an ontological layer, used to data conceptualization. This integration allows a collaborative system’s users to exchange resources in a optimally way, using its own concepts as a filter to execute any tasks in the collaborative environment.

Assuntos Scopus

Collaborative environments , Collaborative systems , Data and information , Data repositories , Knowledge integration , Multimedia resources , Online environments , Social relationships