@InProceedings{	  regoczei5,
  author	= {Stephen Regoczei and Graeme Hirst},
  title		= {Sortal analysis with S<SMALL>ORTAL</SMALL>, a software
		  assistant for knowledge acquisition},
  booktitle	= {Proceedings, Fourth Workshop on Knowledge Acquisition for
		  Knowledge-Based Systems},
  address	= {Banff},
  month		= {October},
  year		= {1989},
  note		= {Also published as technical report CSRI-232, Computer
		  Systems Research Institute, University of Toronto, August
		  1989},
  abstract	= {<p>S<small>ORTAL</small> is a software assistant for
		  performing meaning-triangle-based sortal analysis. This
		  paper describes its architecture and possible
		  implementations. Conceptual analysis and conceptual
		  modelling are central components of the
		  informant-and-analyst-based, natural language-mediated
		  knowledge acquisition process, but focusing on concepts is
		  not enough. The ``aboutness'' of the language used in the
		  interview forces the analyst to recognize distinctions
		  between words, concepts, referents, and cogniting agents.
		  Creating frame-like representations for agent-centred
		  meaning triangles, as well as updating ontologies, keeping
		  track of multiple domains of discourse, and the creation of
		  knowledge bases for use in other systems are tasks that can
		  be assisted by a software tool such as
		  S<small>ORTAL</small>. We sketch the requirements for such
		  an assistant, give examples of its operation, and address
		  implementation issues. </p>},
  download	= {http://ftp.cs.toronto.edu/pub/gh/Regoczei+Hirst-1989-Sortal.pdf}
		  
}

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