Jairo Francisco de Souza, Sean Wolfgand Matsui Siqueira and Bernardo Nunes
Although ontology matchers are annually proposed to address different aspects of the semantic heterogeneity problem, finding the most suitable alignment approach is still an…
Abstract
Purpose
Although ontology matchers are annually proposed to address different aspects of the semantic heterogeneity problem, finding the most suitable alignment approach is still an issue. This study aims to propose a computational solution for ontology meta-matching (OMM) and a framework designed for developers to make use of alignment techniques in their applications.
Design/methodology/approach
The framework includes some similarity functions that can be chosen by developers and then, automatically, set weights for each function to obtain better alignments. To evaluate the framework, several simulations were performed with a data set from the Ontology Alignment Evaluation Initiative. Simple similarity functions were used, rather than aligners known in the literature, to demonstrate that the results would be more influenced by the proposed meta-alignment approach than the functions used.
Findings
The results showed that the framework is able to adapt to different test cases. The approach achieved better results when compared with existing ontology meta-matchers.
Originality/value
Although approaches for OMM have been proposed, it is not easy to use them during software development. On the other hand, this work presents a framework that can be used by developers to align ontologies. New ontology matchers can be added and the framework is extensible to new methods. Moreover, this work presents a novel OMM approach modeled as a linear equation system which can be easily computed.
Details
Keywords
Rafael Krejci and Sean Wolfgand Matsui Siqueira
– To present YouFlow Microblog and how its functionalities for discourse structuring and message classification allows improving learning. The paper aims to discuss these issues.
Abstract
Purpose
To present YouFlow Microblog and how its functionalities for discourse structuring and message classification allows improving learning. The paper aims to discuss these issues.
Design/methodology/approach
The authors developed a survey on microblogs and its functionalities for supporting education, and then the authors developed a new microblog called YouFlow Microblog, which was used in a case study to illustrate its applicability.
Findings
The results were: the categorization of messages according to the lesson plan allowed deeper discussions; the amount of messages and preference of the students for the categorization approach are directly related; the filtering of messages (categorization on the reading time) was used as a facilitator of the discussion understanding; the students prefer the search results organized by the categories and related messages; and the students were able to follow the discussions supported by the tree structure of discourse, categorization of messages according to the lesson plan and searches or filtering of messages.
Research limitations/implications
Other case studies involving more students and from different knowledge areas could be performed. Other approaches for messages' visualization for reducing the amount of information could be explored, such as recommendation of messages in microblogs; and groupings of messages according to date, priority and subject.
Practical implications
The developed microblog is useful and proved to be interesting for applying in the educational context.
Originality/value
No other microblog allows different structuring of messages and the their classification according to the lesson plan, in addition to filtering and query functionalities.
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Sean Wolfgand Matsui Siqueira, Maria Helena Lima Baptista Braz and Rubens Nascimento Melo
This paper seeks to present a modeling approach for e‐learning content, describing how to structure e‐learning content and also represent it in OWL DL.
Abstract
Purpose
This paper seeks to present a modeling approach for e‐learning content, describing how to structure e‐learning content and also represent it in OWL DL.
Design/methodology/approach
This paper presents three different layers of information that should be considered in e‐learning and conceptual models to guide the representation of e‐learning content. This proposal is based on existing standards and experience gained in previous works. It is also shown how to structure and represent the content embedded in learning objects (LOs).
Findings
Besides providing a better structuring of the e‐learning content, content reuse and exploratory navigations over content through the semantic relationships between information (mainly information objects (IOs) and conceptual units) are promoted.
Research limitations/implications
A visual tool to allow a better exploration of the e‐learning content is already being developed. However, it is essential to develop optimized storing and retrieving mechanisms that would make this approach more interesting.
Practical implications
When compared with other approaches such as those based on semantic models and deductive models, the decrease in complexity makes acceptance and adoption of this approach by teachers and instructional designers easier.
Originality/value
This paper fulfils an identified three‐level information need for e‐learning content and presents a new modeling approach. Besides structuring the e‐learning content, the model is also represented in OWL DL. It allows an easier/richer implementation of e‐learning content.
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Cleber Pinelli Teixeira, Jônatas Castro dos Santos, Reisla D’Almeida Rodrigues, Sean Wolfgand Matsui Siqueira and Renata Araujo
As the Web 2.0 induces changes in human relationships, several implications across issues and domains of socio-economic life follow; politics is one of them. In the context of Web…
Abstract
As the Web 2.0 induces changes in human relationships, several implications across issues and domains of socio-economic life follow; politics is one of them. In the context of Web 2.0, social media have established themselves as a part of citizen’s daily routine. Hence, social media have a direct impact on politics today. This chapter examines this phenomenon and its implications for politics by tracing and examining the recent initiative launched by Rede Globo aimed at collecting citizens’ views and visions on Brazil’s future. “The Brazil I Want” project sought to encourage citizens to publish videos featuring their visions and views of Brazil’s future. Thousands of citizens used this opportunity to express their concerns and hopes related to the future of their cities and their country. This chapter seeks to make sense of it in two ways. First, it explores to what extent and how social media can serve as source of information. Here the concepts and tools of big data and data mining are employed. Second, it inquiries into what people currently think about their country. By bringing these two research perspectives together, this chapter argues that effective ways of resolving issues and concerns the citizens thus voiced exist to the benefit of the efficiency of the policymaking process and the society’s wellbeing.