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From Data to Knowledge Analytics:Capabilities and Limitations


Affiliations
1 KAnOE - Center for Knowledge Analytics and Ontological Engineering, PES University, Bangalore 560085, India
     

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Data analytics is playing a central role in deriving useful information from large amounts of data available online in a variety of domains and applications. Analytics enploys a wide array of methods ranging from classical statistical techniques to those exploiting the visual and cognitive capabiUties of human users. In spite of all its capabilities, analytics at present seems to suffer from significant limitations in deahng with unstructured data and knowledge. This article explores the Umitations and defines key requirements to be met by fiiture developments in analytics. The article concludes with a sketch of tme knowledge analytics which is capable of delivering insights from knowledge structures, not just tabular data.

Keywords

Analytics, Unstructured Data, Knowledge, Capabilities, Limitations.
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  • From Data to Knowledge Analytics:Capabilities and Limitations

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Authors

Pallavi Karanth
KAnOE - Center for Knowledge Analytics and Ontological Engineering, PES University, Bangalore 560085, India
Kavi Mahesh
KAnOE - Center for Knowledge Analytics and Ontological Engineering, PES University, Bangalore 560085, India

Abstract


Data analytics is playing a central role in deriving useful information from large amounts of data available online in a variety of domains and applications. Analytics enploys a wide array of methods ranging from classical statistical techniques to those exploiting the visual and cognitive capabiUties of human users. In spite of all its capabilities, analytics at present seems to suffer from significant limitations in deahng with unstructured data and knowledge. This article explores the Umitations and defines key requirements to be met by fiiture developments in analytics. The article concludes with a sketch of tme knowledge analytics which is capable of delivering insights from knowledge structures, not just tabular data.

Keywords


Analytics, Unstructured Data, Knowledge, Capabilities, Limitations.

References