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    <lastmod>2020-09-16</lastmod>
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      <image:title>Blog - 7Bridges, what's in a name? - The abstract graph forms the basis of the 7Bridges.Consulting logo, which preserves the topology of the original problem.</image:title>
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      <image:title>Blog - 7Bridges, what's in a name?</image:title>
      <image:caption>Fig. 1. Map of Königsberg with the seven bridges and the abstracted graph. (Image taken from Wikipedia https://en.wikipedia.org/wiki/Seven_Bridges_of_K%C3%B6nigsberg)</image:caption>
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    <loc>https://7bridges.consulting/fraud-detection</loc>
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    <lastmod>2020-09-16</lastmod>
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      <image:title>Fraud detection - Numbers show that more fraud is discovered thanks to the digital fraud detection</image:title>
      <image:caption>2015: 33% of the inspections detects fraud 2018: 60 % of the inspections detects fraud 2018: even more inspections were done , 253 inspections and 515 fraud cases were found 2018: 48 inspections, traced $3 million</image:caption>
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  <url>
    <loc>https://7bridges.consulting/social-interaction-graph</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
    <lastmod>2020-09-16</lastmod>
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      <image:title>Social interaction graph - A social graph where people interact with one another.</image:title>
      <image:caption>In this particular case, the interaction is through the question. The politicians all have their experiences and skills, which were also modelled.</image:caption>
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    <loc>https://7bridges.consulting/connecting-companies</loc>
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    <priority>0.75</priority>
    <lastmod>2020-09-16</lastmod>
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      <image:title>Connecting companies - A challenging mission without structured data</image:title>
      <image:caption>To tackle this challenge we used NEO4J technology. Our solution, an embedded Neo4J graph database, stores unstructured data and is able to process and visualize ad hoc queries at the same time. In addition, this database is also includes a visualisation feature to present networks and relationships.</image:caption>
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      <image:title>Connecting companies - A valuable outcome thanks to our knowledge graph</image:title>
      <image:caption>Outcome: These analyses actually have a broad application in business cases. With graph modeling, we combined multiple, unstructured data into a knowledge graph The data patterns showed us relations between cleantech companies. We provided a real-time user friendly visualisation indicating the interactions between the different actors. I-Cleantech Flanders is on top of the complete cleantech field and is enabled to anticipate on future trends.</image:caption>
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