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SBIA '98 Proceedings of the 14th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
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ICLS '06 Proceedings of the 7th international conference on Learning sciences
IEEE Intelligent Systems
An approach for semantic web services automatic discovery and composition with similarity metrics
Proceedings of the 2009 ACM symposium on Applied Computing
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ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
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ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
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FIE'09 Proceedings of the 39th IEEE international conference on Frontiers in education conference
An ontology-based software framework to provide educational data mining
Proceedings of the 2010 ACM Symposium on Applied Computing
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Proceedings of the 2010 Workshop on Knowledge-Oriented Product Line Engineering
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Proceedings of the 2011 ACM Symposium on Applied Computing
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Knowledge-Based Systems
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Knowledge-Based Systems
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RetriBlog: An architecture-centered framework for developing blog crawlers
Expert Systems with Applications: An International Journal
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Expert Systems with Applications: An International Journal
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ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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Recently, some initiatives to start the so-called semantic web-based educational systems (SWBES) have emerged in the field of artificial intelligence in education (AIED). The main idea is to incorporate semantic web resources to the design of AIED systems aiming to update their architectures to provide more adaptability, robustness and richer learning environments. However, the construction of such systems is highly complex and faces several challenges in terms of software engineering and artificial intelligence aspects. This paper presents a computational model for developing SWBES focusing on the problem of how to make the development easier and more useful for both developers and authors. In order to illustrate the features of the proposed model, a case study is presented. Furthermore, a discussion about the results regarding the computational model construction is available.