 Maui - Multi-purpose automatic topic indexing - maui-indexer.googlecode.com
Maui builds on the keyphrase indexing algorithm Kea (below), but provides additional functionalities:
it allows the assignment of topics to documents based on terms from Wikipedia using Dave Milne's tool Wikipedia Miner. Maui also has many new features that help identify topics more accurately.
Maui performs the following tasks:
- keyphrase extraction
- automatic tagging
- term assignment with a controlled vocabulary
- subject indexing
- topic indexing with terms from Wikipedia.
It can also be used for terminology extraction and semi-automatic topic indexing.
About the name: In Māori
mythology, Māui
is a culture hero.
He fished out the North Island of New
Zealand with a hook
made out of his jaw-bone (above).
KEA - Keyphrase extraction algorithm - www.nzdl.org/kea
I have extended the
original version of the keyphrase extraction algorithm Kea-3.0 (designed
for free indexing) into a new version that performs controlled indexing
Kea-4.1 (also known as Kea++).
Given a document and a thesaurus or controlled vocabulary (Kea accepts
any vocabulary in the
SKOS format), Kea selects a list of phrases from this vocabulary describing
the document's main topics. (See examples
of Kea's performance on different domains).
 ELKB - Electronic Lexical Knowledge Base www.nzdl.org/elkb
Java package for
accessing and exploring Roget's
Thesaurus, originally developed by Mario Jarmasz, University of Ottawa.
ELKB includes several NLP-applications: for detecting lexical chains in
text, determining semantic distance between words and phrases, clustering
words based on their meaning and solving a word quiz.
Other interesting projects:
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