Buckland, M.K.; Chen, A.; Gebbie, M.; Kim, Y.; Norgard, B.: Variation by subdomain in indexes to knowledge organization systems (2000)
0.03
0.029160315 = product of:
0.14580157 = sum of:
0.14580157 = weight(_text_:index in 97) [ClassicSimilarity], result of:
0.14580157 = score(doc=97,freq=10.0), product of:
0.2250935 = queryWeight, product of:
4.369764 = idf(docFreq=1520, maxDocs=44218)
0.051511593 = queryNorm
0.64773786 = fieldWeight in 97, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
4.369764 = idf(docFreq=1520, maxDocs=44218)
0.046875 = fieldNorm(doc=97)
0.2 = coord(1/5)
- Abstract
- Bibliographies and their knowledge organization systems commonly cover broad topical areas. Indexes to knowledge organization systems, such as the Subject Index to the Dewey Decimal Classification, provide a general index to the entirety. However, every community and every specialty develops its own specialized vocabulary. An index derived from the specialized use of language within a single subdomain could well be different from a general-purpose index for all domains and preferable for that subdomain. Statistical association techniques can be used to create indexes to knowledge systems. A preliminary analysis based on the INSPEC database shows that subdomain indexes differ significantly from each other and from a general index. The greater the polysemy of individual words the greater difference in the indexes
