Luciano Bernardes de Paula

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In this paper we make the domain entity a first class citizen. The concept of Domain Identifiers (DIDs) is introduced to effectively bring the domains to the next generation Internet scenario. The paper presents an architecture to address challenging next generation Internet requirements such as node and domain mobility, multi-homing, security, network(More)
The semantic meaning of a content is frequently represented by content vectors in which each dimension represents an attribute of this content, such as, keywords in a text, colors in a picture or profile information in a social network. However, one important challenge in this semantic context is the storage and retrieval of similar contents, such as the(More)
The current internetworking architecture presents some limitations to naturally support mobility, security and multi- homing. Among the limitations, the IP semantic overload seems to be a primary issue to be considered. In this paper we present a next generation internetworking architecture to overcome the IP semantic overload by introducing an identity(More)
The increasing volume of semantic content available in the Web, generally classified by concept hierarchies or simple ontologies, turns the searching and reasoning upon these data a great challenge. Generally, a search in Semantic Web may not be addressed to a specific document, but to a group of data classified in the same concept. Several structures used(More)
The goal of a similarity search system is to allow users to retrieve data that presents a required similarity level in a certain dataset. For example, such dataset may be applied in the social media scenario, where huge amounts of data represent users in a social network. This paper uses a Vector Space Model (VSM) to represent users' profiles and the Random(More)
The information society is facing a sharp increase in the amount of information driven by the plethora of new applications that sprouts all the time. The amount of data now circulating on the Internet is over zettabytes (ZB), resulting in a scenario defined in the literature as Big Data. In order to handle such challenging scenario, the deployed solutions(More)
In literature, there are several methods to measure similarity between concepts in structures like simple ontologies, concept hierarchies, taxonomies, etc. These measures are used to search for similar concepts. In the Semantic Web, such structures are commonly used to classify data which opens the possibility of reasoning upon them and helps in conceptual(More)