Badia, A.: Data, information, knowledge : an information science analysis (2014)
0.03
0.027849235 = product of:
0.05569847 = sum of:
0.03179129 = weight(_text_:information in 1296) [ClassicSimilarity], result of:
0.03179129 = score(doc=1296,freq=14.0), product of:
0.08850355 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.050415643 = queryNorm
0.3592092 = fieldWeight in 1296, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0546875 = fieldNorm(doc=1296)
0.023907183 = product of:
0.047814365 = sum of:
0.047814365 = weight(_text_:22 in 1296) [ClassicSimilarity], result of:
0.047814365 = score(doc=1296,freq=2.0), product of:
0.17654699 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.050415643 = queryNorm
0.2708308 = fieldWeight in 1296, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0546875 = fieldNorm(doc=1296)
0.5 = coord(1/2)
0.5 = coord(2/4)
- Abstract
- I analyze the text of an article that appeared in this journal in 2007 that published the results of a questionnaire in which a number of experts were asked to define the concepts of data, information, and knowledge. I apply standard information retrieval techniques to build a list of the most frequent terms in each set of definitions. I then apply information extraction techniques to analyze how the top terms are used in the definitions. As a result, I draw data-driven conclusions about the aggregate opinion of the experts. I contrast this with the original analysis of the data to provide readers with an alternative viewpoint on what the data tell us.
- Date
- 16. 6.2014 19:22:57
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.6, S.1279-1287
- Theme
- Information
