INSIDE: an Ontology-based Data Integration System Applied to the Oil and Gas Sector
Resumo
Context: Data integration remains a major challenge facing organizations in the information age. Despite the advances made in recent decades, new approaches have become necessary to deal with new challenges such as Big Data. Problem: Semantic heterogeneity is a significant problem faced by companies in the oil and gas sector, as it makes it difficult to exchange information with other companies. Furthermore, there is a shortage of data integration systems that use open source technologies to deal with semantics, interoperability and scalability. Solution: INSIDE - Semantic Interoperability for Engineering Data Integration - an information system based on ontologies for data integration developed for an oil and gas company. SI Theory: This work is influenced by Representation Theory, based on the idea that an information system is a faithful representation of certain phenomena in the real world. Method: Review of state of the art on system architectures for data integration and use of methodologies for elaborating ontologies that represent the knowledge base of the information system. Summary of Results: Implementation of a prototype that allows querying heterogeneous data sources using a vocabulary familiar to the user, removing ambiguities from data with semantics. Contributions and Impact in IS area: The development of a solution for data integration using open source technologies tested with real-world data from a company in the oil and gas sector that can serve as a reference for developing new applied systems to other sectors.
Palavras-chave:
Information Systems, Data Integration, Semantic Web, Ontology
Referências
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Vitor Pinheiro De Almeida, Elvismary Molina De Armas, Júlio Gonçalves Campos, Rodrigo Goyannes Gusmão Caiado, Geiza Maria Hamazaki Da Silva, Hugo Fernandes Neves, Eduardo Thadeu Leite Corseuil, Fernando Rodrigues Gonzalez Rodrigo Rodrigues Aragao, and Carlos Augusto Pereira. 2022. INSIDE: SEMANTIC INTEROPERABILITY IN ENGINEERING DATA INTEGRATION. Rio Oil and Gas Expo and Conference 22, 2022 (sep 2022), 351–352. https://doi.org/10.48072/2525-7579.rog.2022.351
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Evgeny Kharlamov, Dag Hovland, Martin G. Skjæveland, Dimitris Bilidas, Ernesto Jiménez-Ruiz, Guohui Xiao, Ahmet Soylu, Davide Lanti, Martin Rezk, Dmitriy Zheleznyakov, Martin Giese, Hallstein Lie, Yannis Ioannidis, Yannis Kotidis, Manolis Koubarakis, and Arild Waaler. 2017. Ontology Based Data Access in Statoil. Journal of Web Semantics 44 (2017), 3–36. https://doi.org/10.1016/j.websem.2017.05.005 Industry and In-use Applications of Semantic Technologies.
David Moher, Alessandro Liberati, Jennifer Tetzlaff, Douglas G Altman, and PRISMA Group*. 2009. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Annals of internal medicine 151, 4 (2009), 264–269.
Julio Cesar Nardi, Ricardo de Almeida Falbo, João Paulo A. Almeida, Giancarlo Guizzardi, Luís Ferreira Pires, Marten J. van Sinderen, Nicola Guarino, and Claudenir Morais Fonseca. 2015. A commitment-based reference ontology for services. Information Systems 54 (2015), 263–288. https://doi.org/10.1016/j.is.2015.01.012
Institute of Electrical and Electronics Engineers (IEEE). 1990. A Compilation of IEEE Standard Computer Glossaries.
Rashmi Girirajkumar Patidar, Shashank Shrestha, and Subhash Bhalla. 2018. Polystore Data Management Systems for Managing Scientific Data-sets in Big Data Archives. In Big Data Analytics, Anirban Mondal, Himanshu Gupta, Jaideep Srivastava, P. Krishna Reddy, and D.V.L.N. Somayajulu (Eds.). Springer International Publishing, Cham, 217–227. https://doi.org/10.1007/978-3-030-04780-1_15
Antonella Poggi, Domenico Lembo, Diego Calvanese, Giuseppe De Giacomo, Maurizio Lenzerini, and Riccardo Rosati. 2008. Linking Data to Ontologies. In Journal on Data Semantics X, Stefano Spaccapietra (Ed.). Springer Berlin Heidelberg, Berlin, Heidelberg, 133–173. https://doi.org/10.1007/978-3-540-77688-8_5
Jan Recker, Marta Indulska, Peter Green, Andrew Burton-Jones, and Ron Weber. 2019. Information Systems as Representations: A Review of the Theory and Evidence. Journal of the Association for Information Systems 20 (2019), 735–786. https://doi.org/10.17705/1jais.00550
Michael Rosemann and Peter Green. 2002. Developing a meta model for the Bunge–Wand–Weber ontological constructs. Information Systems 27, 2 (2002), 75–91. https://doi.org/10.1016/S0306-4379(01)00048-5
Yair Wand and Ron Weber. 1988. An Ontological Analysis of some Fundamental Information Systems Concepts. In ICIS 1988 Proceedings (Helsinki, Finland). Association for Information Systems, USA, 461 pages. https://dl.acm.org/doi/proceedings/10.5555/353053
Yair Wand and Ron Weber. 1989. Information Systems Concepts: An In-depth Analysis: proceedings of the IFIP TC 8/WG 8.1 Working Conference on Information System Concepts: an in-depth analysis Namur, Belgium, 18-20 October, 1989. Elsevier, Belgium, Chapter An ontological evaluation of systems analysis and design methods.
Y. Wand and R. Weber. 1990. Mario Bunge's ontology as a formal foundation for information systems concepts. Studies on Mario Bunge's Treatise (1990), 123 – 149. [link].
Y. Wand and R. Weber. 1990. An ontological model of an information system. IEEE Transactions on Software Engineering 16, 11 (1990), 1282–1292. https://doi.org/10.1109/32.60316
Y. Wand and R. Weber. 1993. On the ontological expressiveness of information systems analysis and design grammars. Information Systems Journal 3, 4 (1993), 217–237. https://doi.org/10.1111/j.1365-2575.1993.tb00127.x arXiv: [link].
Yair Wand and Ron Weber. 1995. On the deep structure of information systems. Information Systems Journal 5, 3 (1995), 203–223. https://doi.org/10.1111/j.1365-2575.1995.tb00108.x arXiv: [link].
Patrick Ziegler and Klaus R. Dittrich. 2004. Three Decades of Data Intecration — all Problems Solved?. In Building the Information Society, Renè Jacquart (Ed.). Springer US, Boston, MA, 3–12. https://doi.org/10.1007/978-1-4020-8157-6_1
Vitor Almeida., Júlio Campos., Elvismary Molina de Armas., Geiza Hamazaki da Silva., Hugo Neves., Eduardo Corseuil., and Fernando Gonzalez.2023. INSIDE: Semantic Interoperability in Engineering Data Integration. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS. INSTICC, SciTePress, 107–114. https://doi.org/10.5220/0011748700003467
Vitor Pinheiro De Almeida, Elvismary Molina De Armas, Júlio Gonçalves Campos, Rodrigo Goyannes Gusmão Caiado, Geiza Maria Hamazaki Da Silva, Hugo Fernandes Neves, Eduardo Thadeu Leite Corseuil, Fernando Rodrigues Gonzalez Rodrigo Rodrigues Aragao, and Carlos Augusto Pereira. 2022. INSIDE: SEMANTIC INTEROPERABILITY IN ENGINEERING DATA INTEGRATION. Rio Oil and Gas Expo and Conference 22, 2022 (sep 2022), 351–352. https://doi.org/10.48072/2525-7579.rog.2022.351
Tim Berners-Lee, James Hendler, and Ora Lassila. 2002. A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities. Scientific American 284 (2002). [link]
Brasil. 2019. Portaria MTP nº 1846, de 01 de julho de 2022. Diário Oficial da União (DOU)124 (2019), 163–169. [link].
Mario Bunge. 1977. Treatise on Basic Philosophy: Ontology I: The Furniture of the World. Vol. 3. Springer Dordrecht, D. Reidel Publishing Company, Dordrecht, Holland. https://doi.org/10.1007/978-94-010-9924-0
Marut Buranarach. 2005. A Framework for the Organization and Discovery of Information Resources in a WWW Environment Using Association, Classification and Deduction. (January 2005). http://d-scholarship.pitt.edu/10391/
Andrew Burton-Jones, Jan Recker, Marta Indulska, Peter Green, and Ron Weber. 2017. Assessing Representation Theory with a Framework for Pursuing Success and Failure. MIS Q. 41, 4 (dec 2017), 1307–1333. https://doi.org/10.25300/MISQ/2017/41.4.13
Diego Calvanese, Benjamin Cogrel, Sarah Komla-Ebri, Roman Kontchakov, Davide Lanti, Martin Rezk, Mariano Rodriguez-Muro, and Guohui Xiao. 2017. Ontop: Answering SPARQL queries over relational databases. Semantic Web 8, 3 (2017), 471–487.
Elvismary Molina De Armas, Vitor Pinheiro de Almeida, Júlio Gonçalves Campos, Geiza Maria Hamazaki da Silva, Rodrigo Goyannes Gusmão Caiado, Hugo Neves, Eduardo Thadeu Leite Corseuil, Denyson Tomaz de Lima, and Fernando Rodrigues Gonzalez. 2021. Hybrid Architecture to Achieve Semantic Interoperability for Engineering Oil and Gas Industry Process. In The 23rd International Conference on Information Integration and Web Intelligence (Linz, Austria) (iiWAS2021). Association for Computing Machinery, New York, NY, USA, 176–182. https://doi.org/10.1145/3487664.3487782
Antonio De Nicola and Michele Missikoff. 2016. A Lightweight Methodology for Rapid Ontology Engineering. Commun. ACM 59, 3 (feb 2016), 79–86. https://doi.org/10.1145/2818359
GOVERNO FEDERAL. 2012. Padrões de Interoperabilidade de Governo Eletrônico., 22 pages. [link].
M. Fernández-López, A. Gómez-Pérez, and N. Juristo. 1997. METHONTOLOGY: From Ontological Art Towards Ontological Engineering. In Proceedings of the Ontological Engineering AAAI-97 Spring Symposium Series. American Asociation for Artificial Intelligence, Stanford University, EEUU, 33–40. https://oa.upm.es/5484/ Ontology Engineering Group ? OEG.
Thomas R. Gruber. 1993. A translation approach to portable ontology specifications. Knowledge Acquisition 5, 2 (1993), 199–220. https://doi.org/10.1006/knac.1993.1008
Alon Y. Halevy, Naveen Ashish, Dina Bitton, Michael Carey, Denise Draper, Jeff Pollock, Arnon Rosenthal, and Vishal Sikka. 2005. Enterprise Information Integration: Successes, Challenges and Controversies. In SIGMOD ’05: Proceedings of the 2005 ACM SIGMOD international conference on Management of data (Baltimore, Maryland) (SIGMOD ’05). Association for Computing Machinery, New York, NY, USA, 778–787. https://doi.org/10.1145/1066157.1066246
Instituto Brasileiro de Petróleo e Gás 2020. Estado da Arte Sobre Arquiteturas de Sistemas para Integração de Dados. Instituto Brasileiro de Petróleo e Gás. https://doi.org/10.48072/2525-7579.rog.2020.414
Evgeny Kharlamov, Dag Hovland, Martin G. Skjæveland, Dimitris Bilidas, Ernesto Jiménez-Ruiz, Guohui Xiao, Ahmet Soylu, Davide Lanti, Martin Rezk, Dmitriy Zheleznyakov, Martin Giese, Hallstein Lie, Yannis Ioannidis, Yannis Kotidis, Manolis Koubarakis, and Arild Waaler. 2017. Ontology Based Data Access in Statoil. Journal of Web Semantics 44 (2017), 3–36. https://doi.org/10.1016/j.websem.2017.05.005 Industry and In-use Applications of Semantic Technologies.
David Moher, Alessandro Liberati, Jennifer Tetzlaff, Douglas G Altman, and PRISMA Group*. 2009. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Annals of internal medicine 151, 4 (2009), 264–269.
Julio Cesar Nardi, Ricardo de Almeida Falbo, João Paulo A. Almeida, Giancarlo Guizzardi, Luís Ferreira Pires, Marten J. van Sinderen, Nicola Guarino, and Claudenir Morais Fonseca. 2015. A commitment-based reference ontology for services. Information Systems 54 (2015), 263–288. https://doi.org/10.1016/j.is.2015.01.012
Institute of Electrical and Electronics Engineers (IEEE). 1990. A Compilation of IEEE Standard Computer Glossaries.
Rashmi Girirajkumar Patidar, Shashank Shrestha, and Subhash Bhalla. 2018. Polystore Data Management Systems for Managing Scientific Data-sets in Big Data Archives. In Big Data Analytics, Anirban Mondal, Himanshu Gupta, Jaideep Srivastava, P. Krishna Reddy, and D.V.L.N. Somayajulu (Eds.). Springer International Publishing, Cham, 217–227. https://doi.org/10.1007/978-3-030-04780-1_15
Antonella Poggi, Domenico Lembo, Diego Calvanese, Giuseppe De Giacomo, Maurizio Lenzerini, and Riccardo Rosati. 2008. Linking Data to Ontologies. In Journal on Data Semantics X, Stefano Spaccapietra (Ed.). Springer Berlin Heidelberg, Berlin, Heidelberg, 133–173. https://doi.org/10.1007/978-3-540-77688-8_5
Jan Recker, Marta Indulska, Peter Green, Andrew Burton-Jones, and Ron Weber. 2019. Information Systems as Representations: A Review of the Theory and Evidence. Journal of the Association for Information Systems 20 (2019), 735–786. https://doi.org/10.17705/1jais.00550
Michael Rosemann and Peter Green. 2002. Developing a meta model for the Bunge–Wand–Weber ontological constructs. Information Systems 27, 2 (2002), 75–91. https://doi.org/10.1016/S0306-4379(01)00048-5
Yair Wand and Ron Weber. 1988. An Ontological Analysis of some Fundamental Information Systems Concepts. In ICIS 1988 Proceedings (Helsinki, Finland). Association for Information Systems, USA, 461 pages. https://dl.acm.org/doi/proceedings/10.5555/353053
Yair Wand and Ron Weber. 1989. Information Systems Concepts: An In-depth Analysis: proceedings of the IFIP TC 8/WG 8.1 Working Conference on Information System Concepts: an in-depth analysis Namur, Belgium, 18-20 October, 1989. Elsevier, Belgium, Chapter An ontological evaluation of systems analysis and design methods.
Y. Wand and R. Weber. 1990. Mario Bunge's ontology as a formal foundation for information systems concepts. Studies on Mario Bunge's Treatise (1990), 123 – 149. [link].
Y. Wand and R. Weber. 1990. An ontological model of an information system. IEEE Transactions on Software Engineering 16, 11 (1990), 1282–1292. https://doi.org/10.1109/32.60316
Y. Wand and R. Weber. 1993. On the ontological expressiveness of information systems analysis and design grammars. Information Systems Journal 3, 4 (1993), 217–237. https://doi.org/10.1111/j.1365-2575.1993.tb00127.x arXiv: [link].
Yair Wand and Ron Weber. 1995. On the deep structure of information systems. Information Systems Journal 5, 3 (1995), 203–223. https://doi.org/10.1111/j.1365-2575.1995.tb00108.x arXiv: [link].
Patrick Ziegler and Klaus R. Dittrich. 2004. Three Decades of Data Intecration — all Problems Solved?. In Building the Information Society, Renè Jacquart (Ed.). Springer US, Boston, MA, 3–12. https://doi.org/10.1007/978-1-4020-8157-6_1
Publicado
29/05/2023
Como Citar
CAMPOS, Júlio Gonçalves; ALMEIDA, Vitor Pinheiro De; ARMAS, Elvismary Molina De; SILVA, Geiza Maria Hamazaki Da; CORSEUIL, Eduardo Thadeu; GONZALEZ, Fernando Rodrigues.
INSIDE: an Ontology-based Data Integration System Applied to the Oil and Gas Sector. In: SIMPÓSIO BRASILEIRO DE SISTEMAS DE INFORMAÇÃO (SBSI), 19. , 2023, Maceió/AL.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
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