STORING DATA IN A DOCUMENT-ORIENTED DATABASE AND IMPLEMENTED FROM A STRUCTURED NESTING LOGICAL MODEL Y. Hiyane, A. Benmakhlouf and A. Marzouk Computer, Networks, Mobility and Modeling Laboratory (IR2M), Faculty of Science and Technology, University Hassan 1st, BP 577, 26000 Settat, Morocco ABSTRACT Given the exponential increase in data volumes, the variety of data types, and the complexity of processing, researchers have begun to look at another type of database model that is moving away from the classic rules of the relational model. Among the NoSQL models proposed in a set of research works, there is the document-oriented model. This model relies on the key-document pair. The documents are JSON or XML type. A single key can thus retrieve all information hierarchically and nested, which would require multiple joins in the SQL model. In this work we propose a method of storing data in a nested document-oriented database. The latter will be obtained from a standardized conceptu...
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Call for Papers! 11th International conference on Database Management Systems (DMS 2020) November 21~22, 2020, Zurich, Switzerland https://cst2020.org/dms/index.html Submission Deadline : August 01, 2020 Contact Us Here's where you can reach us: dms@cst2020.org (or) dmsconf@yahoo.com Submission System https://cst2020.org/submission/index.php
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Most Downloaded Article In The 30 Days In Acadamia The International Journal of Database Management Systems (IJDMS) http://airccse.org/journal/ijdms/index.html ISSN : 0975-5705 (Online); 0975-5985 (Print) Paper Submission Authors are invited to submit papers for this journal through e-mail ijdmsjournal@airccse.org. Important Dates • Submission Deadline : August 01, 2020 Here's where you can reach us : ijdmsjournal@airccse.org NOSQL IMPLEMENTATION OF A CONCEPTUAL DATA MODEL: UML CLASS DIAGRAM TO A DOCUMENT-ORIENTED MODEL Acadamia Link:https://www.academia.edu/36558963/NOSQL_IMPLEMENTATION_OF_A_CONCEPTUAL_DATA_MODEL_UML_CLASS_DIAGRAM_TO_A_DOCUMENT-ORIENTED_MODEL
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SARCASM DETECTION BEYOND USING LEXICAL FEATURES ADEWUYI, Joseph Oluwaseyi1 and OLADEJI, Ifeoluwa David2 Department of Computer Science, University of Ibadan, Ibadan, Nigeria. ABSTRACT In current time, social media plateforms such as facebook, twitter, and so forth have improved and received substantial importance. These websites have grown into huge environments wherein users explicit their thoughts, perspectives and reviews evidently. Organizations leverage this environment to tap into people’s opinion on their services and to make a quick feedback. This research seeks to keep away from using grammatical words as the only features for sarcasm detection however also the contextual features, which are theories explaining when, how and why sarcasm is expressed. A deep neural network architecture model was employed to carry out this task, which is a bidirectional long short-term memory with conditional random fields (Bi-LSTM-CRF), two stages were employed to clas...