Browsing by Author "Canko, Mert"

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    Fachstudie MapReduce - eine vergleichende Analyse aktueller Implementierungen
    (2012) Biesinger, Stanislaus; Pitterle, Michael; Canko, Mert
    MapReduce besteht aus den namensgebenden Schritten "Map" und "Reduce", welche in ihrer Funktionalität auf den gleichnamigen Funktionen vieler funktionaler Programmiersprachen basieren. Die den Schritten zu Grunde liegenden logischen Funktionen unterscheiden sich je nach zu implementierender Berechnungsaufgabe. Einzige Konstanten sind die jeweilige Ein- und Ausgabe. Die Eingaben sind als (Schlüssel, Wert)-Paar definiert, die Ausgabe ist beim Map-Schritt eine Liste von (Schlüssel, Wert)-Paaren, beim Reduce-Schritt eine Liste von Werten, üblicherweise aus Null oder genau einem Wert bestehend.
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    Investigating the virtual representation of human resources
    (2015) Canko, Mert
    Despite all the advancements of software technologies to increase the productivity of companies, their capabilities to find solutions for certain problem domains are still limited. For the purpose of collaboratively addressing problems, which cannot be solved by algorithms alone, humans as computational units that are connected in a network of hardware and software resources, are therefore becoming increasingly popular. In this diploma thesis we investigate virtual representations of human resources by analyzing properties of scientific work in the areas of human computation and by examining available sources of information, especially social networks like Facebook, Google+, LinkedIn, XING and GitHub. To comprise both the academic requirements and the offered data from the market products, which according to our comparison substantially differ, we present our concept of a virtual human resource representation. It provides thirteen categories of more than 150 definable attributes to create a basis for the representation of human resources in virtual environments that support collaborative work and business-related processes. Furthermore we show how to access human information using the example of Google+ and how to save this information as a virtual human web ontology instance to be potentially used in web based environments.