XML topic maps : creating and using topic maps for the Web (2003)
0.00
0.0021894926 = product of:
0.01751594 = sum of:
0.007146839 = product of:
0.021440517 = sum of:
0.021440517 = weight(_text_:k in 4727) [ClassicSimilarity], result of:
0.021440517 = score(doc=4727,freq=4.0), product of:
0.09609793 = queryWeight, product of:
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.026919862 = queryNorm
0.22311112 = fieldWeight in 4727, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.569778 = idf(docFreq=3384, maxDocs=44218)
0.03125 = fieldNorm(doc=4727)
0.33333334 = coord(1/3)
0.010369102 = weight(_text_:internet in 4727) [ClassicSimilarity], result of:
0.010369102 = score(doc=4727,freq=2.0), product of:
0.07947389 = queryWeight, product of:
2.9522398 = idf(docFreq=6276, maxDocs=44218)
0.026919862 = queryNorm
0.1304718 = fieldWeight in 4727, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.9522398 = idf(docFreq=6276, maxDocs=44218)
0.03125 = fieldNorm(doc=4727)
0.125 = coord(2/16)
- Abstract
- XML Topic Maps (XTM) represent a powerful new tool for transforming the Web from a vast, chaotic sea of data into a highly usable information resource. XML Topic Maps is the first comprehensive, authoritative guide to this new technology. Edited by Jack Park, a leader of the XTM community, with contributions from leading members of the community, it covers every aspect of XML Topic Map creation and usage. Drawing on the XTM 1.0 standard, a complete XML grammar for interchanging Web-based Topic Maps, this book shows how XML Topic Maps can be utilized as an enabling technology for the new "Semantic Web," in which information is given well-defined meaning, making it possible for computers and people to cooperate more effectively than ever before. Coverage includes: creating, using, and extending XML Topic Maps; ontological engineering; and the use of XML Topic Maps to create next-generation knowledge representation systems and search tools. Park shows how to use Topic Maps to visualize data; how Topic Maps relate to RDF and semantic networks; and finally, how Topic Maps presage a profound paradigm shift in the way information is represented, shared, and learned on the Internet -- and everywhere else. For every Web designer, developer, and content specialist concerned with delivering and sharing information in more useful and meaningful forms.
- Classification
- TWCE (FH K)
- GHBS
- TWCE (FH K)