FROM DATA TO KNOWLEDGE ANALYTICS: CAPABILITIES AND LIMITATIONS

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出版年:Information Studies vol. 21, no. 4 (Oct 2015), p. 261-274
第一著者: Karanth, Pallavi
その他の著者: Mahesh, Kavi
出版事項:
Ranganathan Centre for Information Studies
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245 1 |a FROM DATA TO KNOWLEDGE ANALYTICS: CAPABILITIES AND LIMITATIONS 
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520 3 |a 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 employs a wide array of methods ranging from classical statistical techniques to those exploiting the visual and cognitive capabilities of human users. In spite of all its capabilities, analytics at present seems to suffer from significant limitations in dealing with unstructured data and knowledge. This article explores the limitations and defines key requirements to be met by future developments in analytics. The article concludes with a sketch of true knowledge analytics which is capable of delivering insights from knowledge structures, not just tabular data. 
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653 |a Information science 
653 |a Trends 
653 |a Data analysis 
653 |a Competition 
653 |a Semantics 
653 |a Linear algebra 
653 |a Semantic web 
653 |a Open data 
653 |a Social network analysis 
653 |a Natural language 
653 |a Resource Description Framework-RDF 
653 |a Scientometrics 
653 |a Web Ontology Language-OWL 
653 |a Webometrics 
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653 |a Social networks 
653 |a Management reviews 
653 |a Limitations 
653 |a Knowledge 
653 |a Big Data 
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