Proceedings Article10.1109/COMPSAC.2019.00065
Semantic Data-Driven Microservices
Ivan Salvadori,Alexis Huf,Frank Siqueira +2 more
- 01 Jul 2019
- pp 402-410
1
TL;DR: The semantic data-driven microservice is presented, a cloud service capable of providing linked data based on non-semantic data sources that will work as a solution for publishing linked data and for maximizing data reuse.
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Abstract: Nowadays, data is seen as one of the most valuable assets of organizations. Representing and exposing data in a suitable manner is mandatory for allowing consumers – either human beings or software systems – to properly retrieve and interpret such data. Web Services along with semantic Web techniques may be adopted to address this issue. This paper presents the semantic data-driven microservice, a cloud service capable of providing linked data based on non-semantic data sources. Its main goal is to work as a solution for publishing linked data and for maximizing data reuse.
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Citations
Análise e Publicação de Dados de Processos Eletrônicos em Organizações Públicas
Ivan Salvadori
- 14 Oct 2024
TL;DR: This study proposes a platform for analyzing and publishing electronic processes in Brazilian public organizations, leveraging semantic web technologies, linked data, and natural language processing to overcome limitations in information structuring and retrieval.
References
•Proceedings Article
Fast Algorithms for Mining Association Rules in Large Databases
Rakesh Agrawal,Ramakrishnan Srikant +1 more
- 12 Sep 1994
TL;DR: Two new algorithms for solving thii problem that are fundamentally different from the known algorithms are presented and empirical evaluation shows that these algorithms outperform theknown algorithms by factors ranging from three for small problems to more than an order of magnitude for large problems.
Linked Data - the story so far
TL;DR: The authors describe progress to date in publishing Linked Data on the Web, review applications that have been developed to exploit the Web of Data, and map out a research agenda for the Linked data community as it moves forward.
•Book
Ontology Matching
Jérôme Euzenat,Pavel Shvaiko +1 more
- 05 Jun 2007
TL;DR: The second edition of Ontology Matching has been thoroughly revised and updated to reflect the most recent advances in this quickly developing area, which resulted in more than 150 pages of new content.
2.6K
Duplicate Record Detection: A Survey
Elmagarmid,Ipeirotis,Verykios +2 more
TL;DR: This paper presents an extensive set of duplicate detection algorithms that can detect approximately duplicate records in a database and covers similarity metrics that are commonly used to detect similar field entries.
Duplicate Record Detection: A Survey
TL;DR: This paper presents an extensive set of duplicate detection algorithms that can detect approximately duplicate records in a database and covers similarity metrics that are commonly used to detect similar field entries.
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