Gabel, J.: Improving information retrieval of subjects through citation-analysis (2006)
0.00
0.004785695 = product of:
0.01914278 = sum of:
0.01914278 = weight(_text_:library in 61) [ClassicSimilarity], result of:
0.01914278 = score(doc=61,freq=2.0), product of:
0.1317883 = queryWeight, product of:
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.050121464 = queryNorm
0.14525402 = fieldWeight in 61, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.0390625 = fieldNorm(doc=61)
0.25 = coord(1/4)
- Abstract
- Citation-chasing is proposed as a method of discovering additional terms to enhance subject-search retrieval by broadening and prioritizing the results. Subjects attached to records representing cited works are compared to subjects attached to records representing the original citing sources, and to the subjects yielded by chasing see-also references from the latter group of headings. Original citing sources were yielded via a subject-list search in a library catalog using the subject heading "Language and languages - Origin." A subject-search was employed to avoid subjectivity in choosing sources. References from the sources were searched in OCLC where applicable, and the subject headings were retrieved. The subjects were ranked first by number of citations from original sources, then by total citation-frequency. The results were tiered into 4 groups in a Bradford-like distribution. A similar rank and division was performed on the subjects representing the original citing sources, and those yielded by chasing see-also references. Both in terms of subject frequency and topic type, positive comparisons between citation chasing and see-also references show a confirmation of different methods of yielding alternative subjects. Exclusive results suggest potential mutual complementary value among these different methods.
