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The second layer is linked data layer. After gathering the raw data independently from the different
            sources, is to perform the converting from structured, unstructured and semi‐structured data to
            semantic data. This converting is made by means of an ontology (e.g., vocabularies, taxonomies)
            that describes these data. To perform this converting, our approach makes a priori converting based
            on  standards.  This  process  is  made  by  converting  from  the  OWL  ontology  to  RDF  triples.  We
            observed existing approaches to perform converting only from structured data to RDF. The RDF
            datasets are stored in a CKAN repository, which is made public and can be accessed via the CKAN
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            web  interface  and  CKAN  API .  From  a  technical  perspective,  the  objective  is  to  use  common
            standards and techniques to extend the web by publishing data as RDF, creating well‐formatted RDF
            links between the data items, and performing search on the data via standardized languages such
            as SPARQL query language for RDF, performing search on the data via standardized languages such
            as SPARQL query language for RDF. Query interface, which enables the user community as well as
            the source institutions that offer these statistical data to pose queries upon it. This component
            consists of an online graphical interface as well as a SPARQL endpoint. The results of a query may
            be displayed as structured excel and RDF files to the users. Query interface layer is the sub‐layer
            providing the open data, consisting of two components: SparQL endpoint and Query processor.
            SparQL endpoint is the query interface of submission and retrieval results in open dataset submitted
            by Interconnect the dataset with other datasets. Query processor analyze the SparQL queries to
            verify which artifacts stored in the semantic database will be used. There are two components:
            Query  analyzer  and  Semantic  reasoner.  Query  analyzer  analyzes  SparQL  query  features  to
            verification of the necessary elements to be used to return query results. Moreover, to improve the
            response  time  of  a  query  uses  the  indices  and  metadata.  Semantic  reasoner  is  responsible  for
            generating knowledge derived from inference about the immediate knowledge. One consideration
            is that this mechanism degrades the performance of a query. So this mechanism will be activated
            dynamically according to the complexity of the query submitted. Interconnect the dataset with
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            other datasets is the sub‐layer that allows data fusion of semantic data .The open data API is a
            RESTful,  service‐oriented  platform  that  allows  developers  to  easily  access  datasets  and  create
            independent services through these calls. REST uses the HTTP protocol and, as such, requests use
            the common URL format. The API provides simple methods that developers can use to tap into the
            functionality and rich datasets, and gather information, in JSON or XML format, related to different
                                 39
            indicators and topics .
            A visualization service is delivered to the site and could include analytics, graphics, charting, and
            other  ways  of  using  the  data.  The  enhanced  visualization  is  built  on  top  of  published  APIs  in
            collaboration with third party open source applications.


            5.3  Data visualization

            Data  visualization  is  a  modern  branch  of  descriptive  statistics  meant  to  allow  people  to  both
            understand and communicate data clearly and efficiently via the data graphics selected, such as
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            tables, maps, charts and so on . In the context of SSC for visualization, part of the data is stored in
            a digital file, typically in either text or binary form. Of course, potentially every piece of digital
            ephemera may be considered "data"—not just text, but bits and bytes representing images, audio,


            ____________________
            37   Franck M., Johan M. and Catherine F.; A survey of RDB to RDF translation approaches and tools.
            38   Please see: http://lists.w3.org/Archives/Public/semantic‐web/2011Oct/0041.html.
            39  Richardson L, Mike A, RESTful web APIs. 2013

            40   Please see: http://www.math.yorku.ca/SCS/Gallery/milestone/milestone.pdf

            ITU‐T's Technical Reports and Specifications                                                  707
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