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Title:
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KNOWLEDGE DISCOVERY USING THE KNOWMINER FRAMEWORK |
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Author(s):
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Werner Klieber , Vedran Sabol , Markus Muhr , Roman Kern , Georg Öttl , Michael Granitzer |
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ISBN:
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978-972-8924-79-9 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2009 |
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Edition:
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Single |
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Keywords:
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Knowledge Discovery, Service oriented Architectures, Design Aspects |
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Type:
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Full Paper |
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First Page:
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307 |
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Last Page:
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314 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Services for increasing information quality in unstructured information are central to mostly all applications of
information management. Service-oriented computing is a promising paradigm for embedding such intelligent services in
different application scenarios and heterogeneous IT landscapes. In this paper we present our knowledge discovery
framework named KnowMiner, a service oriented architecture designed with the primary goal to ease usage for non
knowledge discovery experts while providing a rich set of knowledge discovery functionalities for very different
application scenarios. We will introduce the underlying data model of the framework, its basic services as well as
concepts for workflow composition based on pre- and post-conditions. We summarize our findings on the development
and application of such a framework in a set of design aspects and outline that formal pre- and post-conditions are not
suited for data intensive applications with a high spectrum of functionality. |
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