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FROM DATA TO KNOWLEDGE ANALYTICS: CAPABILITIES AND LIMITATIONS

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Publicado en:Information Studies vol. 21, no. 4 (Oct 2015), p. 261-274
Autor principal: Karanth, Pallavi
Otros Autores: Mahesh, Kavi
Publicado:
Ranganathan Centre for Information Studies
Materias:
Decision making
Ontology
Algorithms
Data processing
Bibliometrics
Information science
Trends
Data analysis
Competition
Semantics
Linear algebra
Semantic web
Open data
Social network analysis
Natural language
Resource Description Framework-RDF
Scientometrics
Web Ontology Language-OWL
Webometrics
Quantitative analysis
Social networks
Management reviews
Limitations
Knowledge
Big Data
Data
Acceso en línea:Citation/Abstract
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Resumen: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.
ISSN:0971-6726
0976-1934
DOI:10.5958/0976-1934.2015.00019.1
Fuente:Library Science Database