Standardizing heterogeneous IT data for the purpose of automated modeling using domain ontologies

Detta är en Master-uppsats från KTH/Skolan för elektroteknik och datavetenskap (EECS)

Författare: Muhammad Rezwan Shahid; [2018]

Nyckelord: EA Model automation; Ontology;

Sammanfattning: Models in Enterprise Architecture (EA) are used to deal with the architectural complexity inan organization. Modeling Enterprise IT (Information Technology) Architecture, which is apart of EA, requires various kinds of information about the objects in the IT infrastructure ofan enterprise. It is a big challenge to acquire the required information when the models arecreated. It is at the same time difficult and the time taken for it cannot be controlled. This iswhere automation of the EA IT modeling becomes particularly important. For this purpose,operational IT data from different sources in the network can be used. Since these data areheterogeneous in nature, comprehending these data needs recognizing its semantic meaning.To recognize the semantic meaning of the data in relation to the real world, one has to useontology. When this semantic meaning is known, the data can then be standardized to acommon representation. Common representation is necessary for ensuring quality of thedata in the merging process. This thesis work attempts to focus on the important area of EAIT model automation by proposing an approach that tries to standardize the heterogeneousIT architecture data in the network with the help of domain ontology.

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