The context-sensitive pattern-matching task

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abstract: In this paper, we compare the methods for solving two very different tasksthat employ explicit models of context: the abstraction of time-oriented dataand retrieval of relevant medical text documents. We define formally andcompare the task-specific ontologies for each problem-solving method. Themappings between these two problem-solving frameworks provide a basis fordefining a more abstract task - context-sensitive pattern matching. Wediscuss the implications for reuse of the knowledge represented in theontologies and inference structures, and we suggest similar tasks that mightemploy the generalized context-sensitive pattern-matching task.

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AbstractIn this paper, we compare the methods for In this paper, we compare the methods for solving two very different tasksthat employ explicit models of context: the abstraction of time-oriented dataand retrieval of relevant medical text documents. We define formally andcompare the task-specific ontologies for each problem-solving method. Themappings between these two problem-solving frameworks provide a basis fordefining a more abstract task - context-sensitive pattern matching. Wediscuss the implications for reuse of the knowledge represented in theontologies and inference structures, and we suggest similar tasks that mightemploy the generalized context-sensitive pattern-matching task. d context-sensitive pattern-matching task.
AddressMontreal, Quebec, Canada  +
AuthorYuval Shahar  +, and Gretchen P. Purcell  +
Bibtypetechreport  +
InstitutionKnowledge Systems, AI Laboratory  +
KeyKSL-95-06  +
NoteUpdated October 1995.  +
NumberKSL-95-06  +
TagComputer science  +
TitleThe Context-Sensitive Pattern-Matching Task  +
Tr idKSL-95-06  +
Year1995  +
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