-
Qin, J.; Paling, S.: Converting a controlled vocabulary into an ontology : the case of GEM (2001)
0.02
0.018386567 = product of:
0.036773134 = sum of:
0.036773134 = product of:
0.07354627 = sum of:
0.07354627 = weight(_text_:22 in 3895) [ClassicSimilarity], result of:
0.07354627 = score(doc=3895,freq=2.0), product of:
0.15840882 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.045236014 = queryNorm
0.46428138 = fieldWeight in 3895, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.09375 = fieldNorm(doc=3895)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Date
- 24. 8.2005 19:20:22
-
Qin, J.: Semantic patterns in bibliographically coupled documents (2002)
0.01
0.0131399175 = product of:
0.026279835 = sum of:
0.026279835 = product of:
0.05255967 = sum of:
0.05255967 = weight(_text_:n in 4266) [ClassicSimilarity], result of:
0.05255967 = score(doc=4266,freq=4.0), product of:
0.19504215 = queryWeight, product of:
4.3116565 = idf(docFreq=1611, maxDocs=44218)
0.045236014 = queryNorm
0.26947853 = fieldWeight in 4266, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
4.3116565 = idf(docFreq=1611, maxDocs=44218)
0.03125 = fieldNorm(doc=4266)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- Different research fields have different definitions for semantic patterns. For knowledge discovery and representation, semantic patterns represent the distribution of occurrences of words in documents and/or citations. In the broadest sense, the term semantic patterns may also refer to the distribution of occurrences of subjects or topics as reflected in documents. The semantic pattern in a set of documents or a group of topics therefore implies quantitative indicators that describe the subject characteristics of the documents being examined. These characteristics are often described by frequencies of keyword occurrences, number of co-occurred keywords, occurrences of coword, and number of cocitations. There are many ways to analyze and derive semantic patterns in documents and citations. A typical example is text mining in full-text documents, a research topic that studies how to extract useful associations and patterns through clustering, categorizing, and summarizing words in texts. One unique way in library and information science is to discover semantic patterns through bibliographically coupled citations. The history of bibliographical coupling goes back in the early 1960s when Kassler investigated associations among technical reports and technical information flow patterns. A number of definitions may facilitate our understanding of bibliographic coupling: (1) bibliographic coupling determines meaningful relations between papers by a study of each paper's bibliography; (2) a unit of coupling is the functional bond between papers when they share a single reference item; (3) coupling strength shows the order of combinations of units of coupling into a graded scale between groups of papers; and (4) a coupling criterion is the way by which the coupling units are combined between two or more papers. Kessler's classic paper an bibliographic coupling between scientific papers proposes the following two graded criteria: Criterion A: A number of papers constitute a related group GA if each member of the group has at least one coupling unit to a given test paper P0. The coupling strength between P0 and any member of GA is measured by the number of coupling units n between them. G(subA)(supn) is that portion of GA that is linked to P0 through n coupling units; Criterion B: A number of papers constitute a related group GB if each member of the group has at least one coupling unit to every other member of the group.
-
Qin, J.; Hernández, N.: Building interoperable vocabulary and structures for learning objects : an empirical study (2006)
0.01
0.011614156 = product of:
0.023228312 = sum of:
0.023228312 = product of:
0.046456624 = sum of:
0.046456624 = weight(_text_:n in 4926) [ClassicSimilarity], result of:
0.046456624 = score(doc=4926,freq=2.0), product of:
0.19504215 = queryWeight, product of:
4.3116565 = idf(docFreq=1611, maxDocs=44218)
0.045236014 = queryNorm
0.23818761 = fieldWeight in 4926, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.3116565 = idf(docFreq=1611, maxDocs=44218)
0.0390625 = fieldNorm(doc=4926)
0.5 = coord(1/2)
0.5 = coord(1/2)
-
Chen, M.; Liu, X.; Qin, J.: Semantic relation extraction from socially-generated tags : a methodology for metadata generation (2008)
0.01
0.0076610697 = product of:
0.0153221395 = sum of:
0.0153221395 = product of:
0.030644279 = sum of:
0.030644279 = weight(_text_:22 in 2648) [ClassicSimilarity], result of:
0.030644279 = score(doc=2648,freq=2.0), product of:
0.15840882 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.045236014 = queryNorm
0.19345059 = fieldWeight in 2648, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=2648)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Source
- Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
-
Qin, J.: Evolving paradigms of knowledge representation and organization : a comparative study of classification, XML/DTD and ontology (2003)
0.01
0.0061288555 = product of:
0.012257711 = sum of:
0.012257711 = product of:
0.024515422 = sum of:
0.024515422 = weight(_text_:22 in 2763) [ClassicSimilarity], result of:
0.024515422 = score(doc=2763,freq=2.0), product of:
0.15840882 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.045236014 = queryNorm
0.15476047 = fieldWeight in 2763, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03125 = fieldNorm(doc=2763)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Date
- 12. 9.2004 17:22:35
