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    Remote access capability embedded in linked data using bi-directional transformation: issues and simulation

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    Publication date
    2018-04
    Author
    Malik, K.R.
    Farhan, M.
    Habib, M.A.
    Khalid, S.
    Ahmad, M.
    Ghafir, Ibrahim
    Keyword
    Bi-directional data transformation
    Census data
    Linked data
    Remote access
    Enrichment of census data
    Application of semantic web
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    Many datasets are available in the form of conventional databases, or simplified comma separated values. The machines do not adequately handle these types of unstructured data. There are compatibility issues as well, which are not addressed well to manage the transformation. The literature describes several rigid techniques that do the transformation from unstructured or conventional data sources to Resource Description Framework (RDF) with data loss and limited customization. These techniques do not present any remote way that helps to avoid compatibility issues among these data forms simultaneous utilization. In this article, a new approach has been introduced that allows data mapping. This mapping can be used to understand their differences at the level of data representations. The mapping is done using Extensible Markup Language (XML) based data structures as intermediate data presenter. This approach also allows bi-directional data transformation from conventional data format and RDF without data loss and with improved remote availability of data. This is a solution to the issue concerning update when dealing with any change in the remote environment for the data. Thus, traditional systems can easily be transformed into Semantic Web-based system. The same is true when transforming data back to conventional data format, i.e. Database (DB). This bidirectional transformation results in no data loss, which creates compatibility between both traditional and semantic form of data. It will allow applying inference and reasoning on conventional systems. The census un-employment dataset is used which is being collected from US different states. Remote bi-directional transformation is mapped on the dataset and developed linkage using relationships between data elements. This approach will help to handle both types of data formats to co-exist at the same time, which will create opportunities for data compatibility, statistical powers and inference on linked data found in remote areas.
    URI
    http://hdl.handle.net/10454/17620
    Version
    No full-text in the repository
    Citation
    Malik KR, Farhan M, Habib MA et al (2018) Remote access capability embedded in linked data using bi-directional transformation: issues and simulation. Sustainable cities and Society. 38: 662-674.
    Link to publisher’s version
    https://doi.org/10.1016/j.scs.2018.01.047
    Type
    Article
    Collections
    Engineering and Informatics Publications

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