so a possible process/method could be: 1. convert a set of glossaries to OWL (gotta have some roles, properties and values for each term though). We could start from ours and then map others one by one. 2. Use something like Chimera to map/merge them critiques/suggestions welcome P Chimaera (and other tools) could help us import various glossaries and mapt them each other, but they need to be in OWL http://www.ksl.stanford.edu/software/chimaera/ relevant paper [DOC] An Environment for Merging and *Testing* Large *Ontologies*<http://www.google.co.uk/url?sa=t&source=web&ct=res&cd=5&url=http%3A%2F%2Fwww.ksl.stanford.edu%2Fpeople%2Fdlm%2Fpapers%2Fkr2000-camera-ready-copy.doc&ei=KmTSSdTnDY7KjAfAg6H4Bg&usg=AFQjCNE1UR6NCFU9W2r4nXjuA-5iswR9Eg&sig2=PBMWmXOhlrqZpLwNcKDm_g>File Format: Microsoft Word - View as HTML<http://209.85.229.132/search?q=cache:3-CKuXmwNRYJ:www.ksl.stanford.edu/people/dlm/papers/kr2000-camera-ready-copy.doc+ontology+testing+tools&cd=5&hl=en&ct=clnk&gl=uk> We will then describe an *ontology* environment *tool* that is aimed at supporting merging and *testing ontologies*. We will describe the *tool*’s used in our work *...* www.ksl.stanford.edu/people/dlm/papers/kr2000-camera-ready-copy.docReceived on Tuesday, 31 March 2009 19:50:14 GMT
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