Joint-e: um framework para avaliação de desempenho e escalabilidade de apis de persistência em ontologias

• Ano de defesa: 2014
• Autor(a) principal: Soares, Endhe Elias
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Alagoas; Brasil; Programa de Pós-Graduação em Informática; UFAL
• Palavras-chave em Português: Desempenho de softwares; Escalabilidade de softwares; Framework; Performance; Scalability; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://www.repositorio.ufal.br/handle/riufal/1613

The Semantic Web (WS) is be coming an important research topic in Computer Science. One of reasons is the possibility of representing information in semantic way using ontologies, assisting in the building of applications which are able to use data, be coming more scalable and intelligent. As a result, many new applications have been developed using the Semantic Web technologies such as RDF, SPARQL and ontologies themselves. Although software development using these technologies is complicated and costly, the community of WS has been producing tools and APIs (application programming interface) to support programmers in the development of semantic applications. Among the most important APIs developed by the community are those that provide mechanisms for handling ontologies. Currently, there are two main approaches used by manipulation APIs: i) RDF triples and objet-oriented programming (OOP). On the one hand, using the RDF triples, the developers have to manipulate the ontologies using only triples, making the development process more complicated. On the other hand, the OOP APIs promote ontologies manipulation using object, which facilitates the development. Although several APIs are been developed in order to manipulate ontologies at object level, most of them are not being evaluated, especially when related to the quality of attributes, such as performance and scalability. Moreover, the high quantity and variability of APIs require a more generic approach in order to deal with these issues, be cause building an evaluation system for each API is a costly task and does not allow the reuse of the solution, neither of its modules. Therefore, this work presents an architecture-entered framework, named JOINT-Evaluator (JOINT-E), where the developers will be able to evaluate the APIs based on a set of pre-defined performance and scalability metrics. It is important to note that the framework also enables the analysis and comparison of the data with statistical support, in creasing the credibility and reliability of the results. To validate the work three scenarios were created on experiment. The main APIs (Alibaba and Jastor) used by developers were tested and evaluated. Furthermore, a qualitative analysis is presented, showing the statistical results and highlighting the advantages and disadvantages of each API. The results have showed that Jastor surpass Alibaba in many issues. Finally, a survey was applied to developers in order to validate the framework. This suvery have presented that this work attend a developers demand.