TY - GEN
T1 - Semantic Support for Scenarios to Improve Communication in Agribusiness
AU - Antonelli, Leandro
AU - Torres, Diego
AU - Hozikian, Mariángeles
AU - Hernandez, Jorge E.
N1 - Publisher Copyright:
© IFIP International Federation for Information Processing 2019.
PY - 2019
Y1 - 2019
N2 - 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. However, every software system relies on its context, with its own rules, dynamism, and languages. Hence, it implies a significant effort to have a complete understanding of the composed domain. For this purpose, scenarios are well-known tools to describe dynamic domains and are commonly described under text-based context. When different stakeholders build Scenarios, it is essential to review them in order to unify their description. Thus, Scenarios under this unified perspective will better support the analysis and identification of relationship between two or more domains. This analysis is the key to design mechanisms to exchange information. Therefore, in the light of this, this paper proposes a semantic definition of Scenarios and a set of queries to identify issues in the Scenarios and improve their quality. In addition to this, a wiki platform to implement the semantic support and the queries is also provided.
AB - 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. However, every software system relies on its context, with its own rules, dynamism, and languages. Hence, it implies a significant effort to have a complete understanding of the composed domain. For this purpose, scenarios are well-known tools to describe dynamic domains and are commonly described under text-based context. When different stakeholders build Scenarios, it is essential to review them in order to unify their description. Thus, Scenarios under this unified perspective will better support the analysis and identification of relationship between two or more domains. This analysis is the key to design mechanisms to exchange information. Therefore, in the light of this, this paper proposes a semantic definition of Scenarios and a set of queries to identify issues in the Scenarios and improve their quality. In addition to this, a wiki platform to implement the semantic support and the queries is also provided.
KW - Agribusiness
KW - Ontologies
KW - Requirements
KW - Scenarios
UR - http://www.scopus.com/inward/record.url?scp=85072951074&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-28464-0_38
DO - 10.1007/978-3-030-28464-0_38
M3 - Conference contribution
AN - SCOPUS:85072951074
SN - 9783030284633
T3 - IFIP Advances in Information and Communication Technology
SP - 447
EP - 456
BT - Collaborative Networks and Digital Transformation - 20th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2019, Proceedings
A2 - Camarinha-Matos, Luis M.
A2 - Afsarmanesh, Hamideh
A2 - Antonelli, Dario
PB - Springer New York LLC
T2 - 20th IFIP Working Conference on Virtual Enterprises, PRO-VE 2019
Y2 - 23 September 2019 through 25 September 2019
ER -