Apply Uncertainty in Document-Oriented Database (MongoDB) Using F-XML

Authors

Abstract:

As moving to big data world where data is increasing in unstructured way with high velocity, there is a need of data-store to store this bundle amount of data. Traditionally, relational databases are used which are now not compatible to handle this large amount of data, so it is needed to move on to non-relational data-stores. In the current study, we have proposed an extension of the MongoDB architecture to support FMQL by integrating a software layer on MongoDB translating FMQL queries to corresponding F-XML queries. Flexible queries have been done in the oriented-document database (MongoDB) by using fuzzy xml commands in the document-centric (MongoDB) injected uncertainty and expressed this commands based on F-XML and by using uncertainty. We used the fuzzy properties to improve query in the document-oriented database (MongoDB) and we showed the Position of the proposed method by the implementation and evaluation of a case study.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Document-Oriented Source Code Transformation using XML

The paper takes a document-oriented view of sourcecode transformation and describes how an underlying XML representation for source code can be used to support refactorings. The method preserves all documentary structure of the source and is applied in a straightforward manner.

full text

Converting Relational Database into XML Document

XML (Extensible Markup Language) is emerging and gradually accepted as the standard for data interchange in the Internet world. Interoperation of relational database and XML database involves schema and data translations. Through EER (extended entity relationship) model can convert the schema of relational database into XML. The semantics of the relational database, captured in EER diagram, are...

full text

Content oriented retrieval on document centric XML

XML is the perfect format for storing (mostly) textual documents in a digital library; its flexibility enables users to store both highly structured data (like database records) and free text in the same document. The data-centric parts can be searched using query languages like XPath and XQuery, where exact conditions on the structure can be imposed. For digital libraries, however, it is impor...

full text

Using XML in Document Recognition

In document recognition, the problem of data representation turns up over and over again. With every new algorithm, we are faced with the problem of how to represent this data usefully. Some general data formats (e.g. DAFS [4]) and many ad-hoc formats have been developed for this purpose, but none of them is extensible and general enough to hold for all different situations. This variety of dif...

full text

XML Document Classification using SVM

This paper describes a representation for XML documents in order to classify them. Document classification is based on document representation techniques. How relevant the representation phase is, the more relevant the classification will be. We propose a representation model that exploits both the structure and the content of document. Our approach is based on vector space model: a document is...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 9  issue 3

pages  87- 101

publication date 2018-08-01

By following a journal you will be notified via email when a new issue of this journal is published.

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023