2019
DOI: 10.1007/978-3-030-28464-0_38
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Semantic Support for Scenarios to Improve Communication in Agribusiness

Abstract: Organizations produce and exchange a huge amount of critical information, which main purpose is to obtain acceptable results. Hence, the trend is by considering integrated systems that can be easily adapted to several domains, especially when they need to exchange information. In this context, the agribusiness sector is a good example where massive data is generated, which implies the need for information sharing and collaboration, where the great challenged is support and understand the colliding context. How… Show more

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Cited by 1 publication
(1 citation statement)
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“…The proposed approach provides a good coverage of the situations that should be considered to test and elaborate a systematic and complete set of alternatives that need to be explored in order to test. The approach combines two modeling approaches: scenarios, from the requirement engineering field and task/method models, from the artificial intelligence field, particularly knowledge-based systems and semantic support (Camilleri et al , 2003; Antonelli et al , 2019). Scenarios are stories about people and their activities to reach certain goals, starting from a setting and using some resources.…”
Section: Introductionmentioning
confidence: 99%
“…The proposed approach provides a good coverage of the situations that should be considered to test and elaborate a systematic and complete set of alternatives that need to be explored in order to test. The approach combines two modeling approaches: scenarios, from the requirement engineering field and task/method models, from the artificial intelligence field, particularly knowledge-based systems and semantic support (Camilleri et al , 2003; Antonelli et al , 2019). Scenarios are stories about people and their activities to reach certain goals, starting from a setting and using some resources.…”
Section: Introductionmentioning
confidence: 99%