FROM DATA TO KNOWLEDGE ANALYTICS: CAPABILITIES AND LIMITATIONS

Αποθηκεύτηκε σε:

Λεπτομέρειες βιβλιογραφικής εγγραφής
Εκδόθηκε σε:	Information Studies vol. 21, no. 4 (Oct 2015), p. 261-274
Κύριος συγγραφέας:	Karanth, Pallavi
Άλλοι συγγραφείς:	Mahesh, Kavi
Έκδοση:	Ranganathan Centre for Information Studies
Θέματα:	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
Διαθέσιμο Online:	Citation/Abstract Full Text Full Text - PDF
Ετικέτες:	Προσθήκη ετικέτας Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!

Περιγραφή
Περίληψη:	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
Πηγή:	Library Science Database