Demonstrates efficient generation of document repairs in collaborative environments, suggesting implications for improved consistency management.
Semantic inconsistencies are major obstacles when multiple authors edit interrelated documents. Current document management systems (DMS) often lack adequate facilities for consistency management. In previous work, we have proposed liberal use of formal consistency rules: We permit inconsistencies and exactly identify their sources. In this paper, we extend our approach towards suggesting repairs that resolve inconsistencies. The critical issues are to suggest some of the best (i.e., least cost) repairs only and to generate repairs efficiently. We employ directed acyclic graphs (DAGs) to carry repairs. These graphs are called suggestion DAGs (short: S-DAGs). The main contributions of this paper are: (1) incorporation of domain knowledge to guide repair generation, (2) visualization of inconsistencies and repairs through S-DAGs, and (3) efficient generation of cheap repairs.
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Scheffczyk et al. (2004) studied this question.
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