User talk:RoyERoebuck
Ontolog Forum
Below is text I posted in an ontolog forum discussion several years ago, addressing the subject of using my General Endeavor Management (GEM) approach as an upper, integrative, or top ontology for the US Federal Executive Branch (FEB), as demonstrated in the CCEA prototype during 2004 and 2005. My suggestion still stands.
Roy Roebuck, 2006, 5th SEMANTIC INTEROPERABILITY FOR E-GOVERNMENT CONFERENCE, Top-5 Lists of Semantic Application
Roy Roebuck Suggestions
(1) Desktop vocabulary inventory tool, that goes beyond the current search tools to provide the desktop user’s:
a) term table (i.e., with nouns, verbs, phrases, acronyms, and abbreviations and links back to the containing sources) with term definitions and synonym set via lookup from WordNet or via manually entered definition conformant with the LDOCE simple definition criteria discussed by Pat Cassidy in ONTAC;
b) taxonomy of user’s terms categorized into broader/narrower groupings;
c) user thesaurus of preferred and alternate terms showing “preferred equivalent” terms paired with “alternate equivalent” terms;
d) from each thesaurus term a directed-labeled-graph (DLG) representation of triples present in the user’s content sources that are directly and indirectly related (i.e., inferred) from the selected thesaurus term. These would provide the user’s desktop vocabulary inventory as a concept-map type interface of the user’s controlled vocabulary and their desktop content searches.
(2) Desktop ontology inventory tool that leverages item 1 above to provide an aggregated concept/triples map that enables inventorying and identification of semantic threads (across item 1’s taxonomy and thesaurus) that exist in the aggregated concept map.
(3) Desktop search which leverages item 2 to provide Internet/intranet search based on the inventoried user aggregated ontologies.
(4) Desktop process inventory which extracts the triples and semantic threads from items 2 and 3 that have a “relation” indicating sequence, flow, dependency, versioning, variance, scheduling, and other time relations to provide the “process models” present in their aggregated ontologies.
(5) A mechanism to aggregate and unify a user’s selected ontology and process inventories into larger group, organizational, and community ontology and process inventories.