14 research outputs found

    Metadata-driven Data Migration from Object-relational Database to NoSQL Document-oriented Database

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    The object-relational databases (ORDB) are powerful for managing complex data, but they suffer from problems of scalability and managing large-scale data. Therefore, the importance of the migration of ORDB to NoSQL derives from the fact that the large volume of data can be handled in the best way with high scalability and availability. This paper reports our metadata-driven approach for the migration of the ORDB to document-oriented NoSQL database. Our data migration approach involves three major stages: a preprocessing stage, to extract the data and the schema\u27s components, a processing stage, to provide the data transformation, and a post-processing stage, to store the migrated data as BSON documents. The approach maintains the benefits of Oracle ORDB in NoSQL MongoDB by supporting integrity constraint checking. To validate our approach, we developed OR2DOD (Object Relational to Document-Oriented Databases) system, and the experimental results confirm the effectiveness of our proposal

    Big data integration: A semantic mediation architecture using summary

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    This paper presents our semantic mediation architecture for homogeneously retrieving data from big data. The architecture is split into three layers to find relevant answers of this data. In the proposed ontology-based approach, we use our domain ontology on alimentation risks field as well as a global schema of mediator and we apply the summarization process based on ontology for describes part of the data set. Thus, the auto evolution of ontology is based on this huge amount of data. The research of answer is related to relevant summaries which represent high-level semantics

    Investigating Students’ Use of References in their Master Dissertations: The Case of the Department of English at MMUTO

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    71p.:ill;30cm.(+cd)students of English use references. It also attempts to unveil the referencing systems adopted, and check whether the students are consistent in applying them. To achieve these goals, four distinctive theoretical frameworks are employed which consist in the Harvard, the APA, the MLA, and the Chicago author-date referencing systems. The nature of this study is descriptive. It is conducted in the department of English at Mouloud Mammeri University of Tizi-Ouzou. The corpus of this research is composed of forty bibliographies of Dissertations from different specialties. These dissertations were submitted from 2014 to 2016, apart from one dissertation that was discussed in 2007. The data consist of a total of 1662 references. The results of this investigation are reported and described using the mixed method. They show that the students use more print source materials than electronic sources, and rather omit to update their sources. The findings also reveal that various referencing systems are interchangeably used by students. The most used styles are the MLA style in Literature-Civilization specialties, and the APA and Harvard styles are mostly used in Linguistics-ESP specialties. It ought to be mentioned that the least used style is the Chicago author-date system. Furthermore, the students are more or less consistent in applying the chosen styles. For instance, they often mix between the Harvard and the APA, or between the Chicago and the MLA styles. The conclusion to be drawn from the different findings is that the students have only partly respected the recommendations of the chosen referencing systems
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