An RDF based approach for integrating data at different levels of abstraction
Authors: 
Jones de Oliveira Avelino, Kelli de Faria Cordeiro, and Maria Cláudia CavalcantiAuthors Info & Claims
Jones de Oliveira Avelino, Kelli de Faria Cordeiro, and Maria Cláudia CavalcantiAuthors Info & ClaimsNovember 2020
Pages 81 - 88
Abstract
The growth and diversity of data sources have been a challenge for data interoperability. Although there are several initiatives to face this challenge, there are still difficulties especially when data are at different levels of abstraction. In this sense, this article proposes INTEGRA, an RDF-based approach, which takes advantage of the graph flexibility. It allows the integration of heterogeneous data sources through interconnections between schemas, between instances, and between instance-schema. Additionally, we present a case study in the Software Development Management scenario, which shows INTEGRA feasibility and its benefits.
References
[1]
Joao Paulo A Almeida, Victorio Albani de Carvalho, Brasileiro, et al. 2018. Multi-Level Conceptual Modeling: Theory and Applications. In ONTOBRAS. 26--41.
[2]
Ali Alwan, Azlin Nordin, et al. 2017. A Survey of Schema Matching Research using Database Schemas and Instances. IJACSA'17 8 (10 2017), 102--111.
[3]
Renzo Angles and Claudio Gutierrez. 2018. An Introduction to Graph Data Management. Springer International Publishing, Cham, 1--32.
[4]
Natércia A. Batista, M. A. Brandão, M. B. Pinheiro, D. Dalip, and M. Moro. 2018. Dados de Múltiplas Fontes da Web: Coleta, Integração e Pré-processamento. In Proceedings of the 24rd Brazillian Symposium on Multimedia and the Web. 153--192.
[5]
Wouter Beek, Schlobach, et al. 2016. A Contextualised Semantics for owl:sameAs. In The Semantic Web. Latest Advances and New Domains.
[6]
Christian Bizer, Tom Heath, and Tim Berners-Lee. 2011. Linked data: The story so far. In Semantic services, interoperability and web applications. 205--227.
[7]
Dan Brickley, Ramanathan V Guha, and Brian McBride. 2014. RDF Schema 1.1. W3C recommendation 25 (2014), 2004-2014.
[8]
Cordeiro, Kelli, et al. 2011. An approach for managing and semantically enriching the publication of Linked Open Gov. Data. In SBBD. 82--95.
[9]
Kelli Cordeiro, Maria Luiza M Campos, and Marcos RS Borges. 2015. aDApTA: Adaptive approach to information integration in dynamic environments. Computers in Industry 71 (2015), 88--102.
[10]
Richard Cyganiak, Reynolds, et al. 2014. The RDF data cube vocabulary. WWW Consortium (2014).
[11]
Ali Davoudian, Chen, et al. 2018. A Survey on NoSQL Stores. ACM Comput. Surv. 51, 2, Article 40 (April 2018), 43 pages. https://doi.org/10.1145/3158661
[12]
Moisés De Carvalho, Alberto HF Laender, et al. 2013. An evolutionary approach to complex schema matching. Information Systems 38, 3 (2013), 302--316.
[13]
AnHai Doan, Alon Halevy, et al. 2012. Principles of data integration. Elsevier.
[14]
R. Elmasri, J. Fu, and F. Ji. 2007. Multi-level Conceptual Modeling for Biomedical Data and Ontologies Integration. In Twentieth IEEE International CBMS. 589--594.
[15]
Ramez Elmasri and Shamkant Navathe. 2016. Fundamentals of Database Systems (7th ed.). Pearson/Addison-Wesley Publishing Company, USA.
[16]
Jérôme Euzenat, Pavel Shvaiko, et al. 2007. Ontology matching. Vol. 18. Springer.
[17]
Renato Freitas, Cleilton Rocha, et al. 2017. Using linked data in the data integration for maternal and infant death risk of the SUS in the GISSA Project. In Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web. 193--196.
[18]
Behzad Golshan, Alon Halevy, et al. 2017. Data integration: After the teenage years. Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI (2017), 101--106.
[19]
W. Kent. 1989. The many forms of a single fact. In COMPCON Spring 89. Thirty-Fourth IEEE Computer Society Int. Conference: Intellectual Leverage. 438--443.
[20]
Maurizio Lenzerini. 2002. Data integration: A theoretical perspective. In Proceedings of the 21st ACM Symposium on Principles of database systems. 233--246.
[21]
Michael Martin, Konrad Abicht, Stadler, et al. 2015. CubeViz: Exploration and Visualization of Statistical Linked Data. Association for Comp. Machinery.
[22]
Silverio Martínez, Petar Jovanovic, et al. 2018. Towards Automated Data Integration in Software Analytics. In Proceedings of the BIRTE. ACM, 6.
[23]
Silverio Martínez-Fernández et al. 2018. A quality model for actionable analytics in rapid software development. In 2018 44th SEAA. IEEE, 370--377.
[24]
Yasmmin Martins, Fabio Mota, and Maria C. Cavalcanti. 2016. DSCrank:A Method for Selection and Ranking of Datasets. In Metadata and Semantics Research.
[25]
Michalis Mountantonakis and Yannis Tzitzikas. 2019. Large-Scale Semantic Integration of Linked Data: A Survey. 52, 5 (2019).
[26]
Markus Nentwig, Michael Hartung, Axel-Cyrille Ngonga Ngomo, et al. 2017. A survey of current link discovery frameworks. Semantic Web 8, 3 (2017), 419--436.
[27]
Damir Nesic and Mattias Nyberg. 2017. Applying Multi-level Modeling to Data Integration in Product Line Engineering. In Proceedings of MODELS. 235--242.
[28]
Axel-Cyrille Ngonga Ngomo. 2012. On Link Discovery using a Hybrid Approach. Journal on Data Semantics 1 (12 2012), 203--217.
[29]
Roger Pressman and Maxim. 2016. Engenharia de Software-8a Ed. McGraw Hill.
[30]
Margy Ross Ralph Kimball. 2013. The Data Warehouse Toolkit (3rd ed.). Wiley.
[31]
Venkatar Ramesh et al. 1997. Integrity constraint integration in heterogeneous databases: An enhanced methodology for schema integration. Information Systems 22, 8 (1997), 423--446.
[32]
Jacobo Rouces, Gerard de Melo, and Katja Hose. 2016. Complex schema mapping and linking data: Beyond binary predicates. In LDOW@WWW.
[33]
Pramod J Sadalage and Martin Fowler. 2013. NoSQL Essencial: Um guia conciso para o mundo emergente da persistência poliglota. Novatec Editora.
[34]
Ana Carolina Salgado and Bernadette Farias Lóscio. 2001. Integração de dados na Web. Escola Regional De Informática Da SBC-Regional De SP 6 (2001), 157--174.
[35]
Amit P Sheth et al. 1990. Federated database systems for managing distributed, heterogeneous, and autonomous databases. ACM C. Surveys 22, 3 (1990), 183--236.
[36]
W3C World-Wide Web W3C-Consortium. 2017. W3C Recommendation - Web Semântica. http://www.w3c.br/Padroes/WebSemantica
[37]
Huimin Zhao and Sudha Ram. 2007. Combining schema and instance information for integrating heterogeneous data sources. Data Knowledge Engineering (2007).
[38]
Antoine Zimmermann. 2014. RDF 1.1: On Semantics of RDF Datasets, 2014. URL https://www.w3.org/TR/rdf11-datasets (2014).
Index Terms
- An RDF based approach for integrating data at different levels of abstraction
Recommendations
Integrating library and cultural heritage data models: the BIBFRAME - EDM case
PCI '14: Proceedings of the 18th Panhellenic Conference on InformaticsLibraries create and preserve bibliographic data using the MARC family of standards to encode and interchange them. Aggregation and exposure of these data into the Semantic Web universe is a key issue in libraries and is approached on the basis of ...
Publishing E-RDF Linked Data for Many Agents by Single Third-Party Server
Semantic TechnologyAbstractLinked data is one of the most successful practices in semantic web, which has led to the opening and interlinking of data. Though many agents (mostly academic organizations and government) have published a large amount of linked data, numerous ...
Publishing scientific data as linked open data
The concept and computer methods for the implementation of new form-linked data technologies for scientific communication are observed. This concept is being advanced by the Internet creator Tim Berners-Lee in the framework of the general idea of the ...
Comments
Information & Contributors
Information
Published In
November 2020
364 pages
Copyright © 2020 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Sponsors
In-Cooperation
- SBC: Brazilian Computer Society
- CNPq: Conselho Nacional de Desenvolvimento Cientifico e Tecn
- CGIBR: Comite Gestor da Internet no Brazil
- CAPES: Brazilian Higher Education Funding Council
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 30 November 2020
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
WebMedia '20: Brazillian Symposium on Multimedia and the Web
November 30 - December 4, 2020
São Luís, Brazil
Acceptance Rates
WebMedia '20 Paper Acceptance Rate 34 of 87 submissions, 39%;
Overall Acceptance Rate 270 of 873 submissions, 31%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 64Total Downloads
- Downloads (Last 12 months)9
- Downloads (Last 6 weeks)1
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in