Changeset 931 for trunk/gsdl/macros/tech.dm
- Timestamp:
- 2000-02-16T17:06:30+13:00 (24 years ago)
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- 1 edited
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trunk/gsdl/macros/tech.dm
r876 r931 22 22 23 23 ####################################################################### 24 # http macros25 #26 # These contain the url without any quotes27 #######################################################################28 29 _httpiconhtech_ {_httpimg_/h\_tech.gif}30 _widthhtech_ {200}31 _heighthtech_ {57}32 33 34 #######################################################################35 24 # page content 36 25 ####################################################################### … … 40 29 _imagethispage_ {_iconhtech_} 41 30 42 _content_ {43 _iconblankbar_44 <p>There are several freely available technologies underlying the New Zealand45 Digital Library:46 <ul>47 <li><a href="_httppagex_(gsdlsoft)"><i>Greenstone</i></a>, the digital48 library system that generates each and every page of this website.<p>49 50 <li><a href="_httppagex_(prescript)"><i>PreScript</i></a>, a system51 that converts PostScript to plain ASCII or HTML, detects paragraph boundaries,52 removes hyphenation, and interprets many ligatures.<p>53 54 <li><a href="_httppagex_(mg)"><i>MG</i></a>, an enhancement of the <a55 href="http://www.cs.mu.oz.au/mg"><i>Managing Gigabytes</i></a> full-text56 retrieval system, that provides flexible stemming methods, weighting terms,57 term frequencies, merged indexes, machine independent indexes, and a port to58 MSDOS.<p>59 60 <li><a href="http://www.cs.waikato.ac.nz/sequitur"><i>Sequitur</i></a>, a61 method for inferring compositional hierarchies from strings by detecting62 repetition and factoring it out of the string by forming rules in a63 grammar. The rules can be composed of non-terminals, giving rise to a64 hierarchy. Sequitur is useful for recognizing lexical structure in strings,65 and excels at very long sequences.<p>66 67 <li><a href="http://www.nzdl.org/Kea"><i>Kea</i></a>, a program for68 automatically extracting keyphrases from the full text of documents. Candidate69 keyphrases are identified using rudimentary lexical processing, features are70 computed for each candidate, and machine learning is used to generate a71 classifier that determines which candidates should be assigned as72 keyphrases. <p>73 74 <li><a href="http://www.cs.waikato.ac.nz/~stevej/Research/Phrasier/"><i>Phrasier</i></a>, a75 tool to support information seeking activities in a digital library. Its novel design76 reflects the fact that reading, writing, browsing and searching activities are rarely77 carried out independently of each other. They overlap and interleave in ways which have78 not been effectively supported by conventional information retrieval interfaces. Consequenly79 Phrasier blurs the distinction between writing a document and finding material related to it;80 between reading a document and finding others on the same or similar topics; between keyword81 searching and subject browsing. <p>82 83 </ul>84 85 <br>86 }87 88 89 90 ###############################################################################91 # English Language Text Macros92 ###############################################################################93 94 #moved to english.dm95 31 96 32 97 33 98 34 99
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