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	<title>Comments on: Comprehensive Listing of 175 Semantic Web Tools</title>
	<atom:link href="http://www.mkbergman.com/287/comprehensive-listing-of-175-semantic-web-tools/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.mkbergman.com/287/comprehensive-listing-of-175-semantic-web-tools/</link>
	<description>Mike Bergman on the semantic Web and structured Web</description>
	<lastBuildDate>Wed, 01 Feb 2012 21:05:31 +0000</lastBuildDate>
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		<title>By: AI3:::Adaptive Information &#187; Blog Archive &#187; New Permanent Sweet Tools Listing &#8212; 300+ Tools and Counting!</title>
		<link>http://www.mkbergman.com/287/comprehensive-listing-of-175-semantic-web-tools/comment-page-1/#comment-27172</link>
		<dc:creator>AI3:::Adaptive Information &#187; Blog Archive &#187; New Permanent Sweet Tools Listing &#8212; 300+ Tools and Counting!</dc:creator>
		<pubDate>Fri, 05 Jan 2007 18:44:44 +0000</pubDate>
		<guid isPermaLink="false">http://www.mkbergman.com/?p=287#comment-27172</guid>
		<description>[...] Since my first posting of 175 semantic Web tools and then an update to 250, the listing has become quite popular and an apparent asset to the semantic Web community. While this AI3 tools listing is not as precise and restricted as the &#8220;official&#8221; ESW one on the W3C&#8217;s Web site, it does contain useful adjunct tools in such areas as parsers, natural language processing, wrappers and the like that are also of potential usefulness to semantic Web practitioners. [...]</description>
		<content:encoded><![CDATA[<p>[...] Since my first posting of 175 semantic Web tools and then an update to 250, the listing has become quite popular and an apparent asset to the semantic Web community. While this AI3 tools listing is not as precise and restricted as the &#8220;official&#8221; ESW one on the W3C&#8217;s Web site, it does contain useful adjunct tools in such areas as parsers, natural language processing, wrappers and the like that are also of potential usefulness to semantic Web practitioners. [...]</p>
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		<title>By: HealthReviews.org</title>
		<link>http://www.mkbergman.com/287/comprehensive-listing-of-175-semantic-web-tools/comment-page-1/#comment-25516</link>
		<dc:creator>HealthReviews.org</dc:creator>
		<pubDate>Tue, 26 Dec 2006 19:24:54 +0000</pubDate>
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		<description>This is truly a great blog! Keep on posting such interesting subjects! I already bookmarked your blog and I will recommend it to some of my friends. James Spade from &lt;a href=&quot;http:/www.healthreviews.org&quot; rel=&quot;nofollow&quot;&gt;http://HealthReviews.org&lt;/a&gt;</description>
		<content:encoded><![CDATA[<p>This is truly a great blog! Keep on posting such interesting subjects! I already bookmarked your blog and I will recommend it to some of my friends. James Spade from <a href="http:/www.healthreviews.org" rel="nofollow">http://HealthReviews.org</a></p>
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	<item>
		<title>By: Like Your Work » Blog Archive » links for 2006-12-23</title>
		<link>http://www.mkbergman.com/287/comprehensive-listing-of-175-semantic-web-tools/comment-page-1/#comment-24732</link>
		<dc:creator>Like Your Work » Blog Archive » links for 2006-12-23</dc:creator>
		<pubDate>Sat, 23 Dec 2006 00:20:20 +0000</pubDate>
		<guid isPermaLink="false">http://www.mkbergman.com/?p=287#comment-24732</guid>
		<description>[...] AI3:::Adaptive Information  Blog Archive  Comprehensive Listing of 175 Semantic Web Tools (tags: SemanticWeb) [...]</description>
		<content:encoded><![CDATA[<p>[...] AI3:::Adaptive Information  Blog Archive  Comprehensive Listing of 175 Semantic Web Tools (tags: SemanticWeb) [...]</p>
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	<item>
		<title>By: Francesco Sclano</title>
		<link>http://www.mkbergman.com/287/comprehensive-listing-of-175-semantic-web-tools/comment-page-1/#comment-20218</link>
		<dc:creator>Francesco Sclano</dc:creator>
		<pubDate>Mon, 20 Nov 2006 22:05:09 +0000</pubDate>
		<guid isPermaLink="false">http://www.mkbergman.com/?p=287#comment-20218</guid>
		<description>Hi everybody!
TermExtractor, my master thesis, is online at the
address http://lcl2.di.uniroma1.it.

TermExtractor is a FREE and high-performing software package for Terminology
Extraction. The software helps a web community to
extract and validate relevant domain terms in their
interest domain, by submitting an archive of
domain-related documents in any format
(txt, pdf, ps, dvi, tex, doc, rtf, ppt, xls, xml, 
html/htm, chm, wpd and also zip archives.)

TermExtractor extracts terminology consensually
referred in a specific application domain. The
software takes as input a corpus of domain documents,
parses the documents, and extracts a list of
&quot;syntactically plausible&quot; terms (e.g. compounds,
adjective-nouns, etc.).
Documents parsing assigns a greater importance
to terms with text layouts (title, bold, italic,
underlined, etc.). Two entropy-based measures, called
Domain Relevance and Domain Consensus, are then used.
Domain Consensus is used to select only the terms
which are consensually referred throughout the corpus
documents. Domain Relevance to select only the terms
which are relevant to the domain of interest, Domain
Relevance is computed with reference to a set of
contrastive terminologies from different domains.
Finally, extracted terms are further filtered using
Lexical Cohesion, that measures the degree of
association of all the words in a terminological
string.

--
Francesco Sclano
home page: http://lcl2.di.uniroma1.it/~sclano
msn:  francesco_sclano@yahoo.it
skype:  francesco978</description>
		<content:encoded><![CDATA[<p>Hi everybody!<br />
TermExtractor, my master thesis, is online at the<br />
address <a href="http://lcl2.di.uniroma1.it" rel="nofollow">http://lcl2.di.uniroma1.it</a>.</p>
<p>TermExtractor is a FREE and high-performing software package for Terminology<br />
Extraction. The software helps a web community to<br />
extract and validate relevant domain terms in their<br />
interest domain, by submitting an archive of<br />
domain-related documents in any format<br />
(txt, pdf, ps, dvi, tex, doc, rtf, ppt, xls, xml,<br />
html/htm, chm, wpd and also zip archives.)</p>
<p>TermExtractor extracts terminology consensually<br />
referred in a specific application domain. The<br />
software takes as input a corpus of domain documents,<br />
parses the documents, and extracts a list of<br />
&#8220;syntactically plausible&#8221; terms (e.g. compounds,<br />
adjective-nouns, etc.).<br />
Documents parsing assigns a greater importance<br />
to terms with text layouts (title, bold, italic,<br />
underlined, etc.). Two entropy-based measures, called<br />
Domain Relevance and Domain Consensus, are then used.<br />
Domain Consensus is used to select only the terms<br />
which are consensually referred throughout the corpus<br />
documents. Domain Relevance to select only the terms<br />
which are relevant to the domain of interest, Domain<br />
Relevance is computed with reference to a set of<br />
contrastive terminologies from different domains.<br />
Finally, extracted terms are further filtered using<br />
Lexical Cohesion, that measures the degree of<br />
association of all the words in a terminological<br />
string.</p>
<p>&#8211;<br />
Francesco Sclano<br />
home page: <a href="http://lcl2.di.uniroma1.it/~sclano" rel="nofollow">http://lcl2.di.uniroma1.it/~sclano</a><br />
msn:  <a href="mailto:francesco_sclano@yahoo.it">francesco_sclano@yahoo.it</a><br />
skype:  francesco978</p>
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