Merging potentially inconsistent items of structured text.
DATA KNOWL ENG
305 - 332.
Structured text is a general concept that is implicit in a variety of approaches to handling information. Syntactically, an item of structured text is a number of grammatically simple phrases together with a semantic label for each phrase. Items of structured text may be nested within larger items of structured text. The semantic labels in a structured text are meant to parameterize a stereotypical situation, and so a particular item of structured text is an instance of that stereotypical situation. Much information is potentially available as structured text including tagged text in XML, text in relational and object-oriented databases, and the output from information extraction systems in the form of instantiated templates. In this paper, we formalize the concept of structured text, and then focus on how we can identify inconsistency in the logical representation of items of structured text. We then present a new framework for merging logical theories that can be employed to merge inconsistent items of structured text. To illustrate, we consider the problem of merging reports such as weather reports. (C) 2000 Elsevier Science B.V. All rights reserved.
|Title:||Merging potentially inconsistent items of structured text|
|Keywords:||merging information, structured text, semi-structured data, knowledge engineering, logic-based inconsistency, management techniques, LOGIC, REVISION|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science > Computer Science|
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