Structure Aware XML Object Identification

نویسندگان

  • Diego Milano
  • Monica Scannapieco
  • Tiziana Catarci
چکیده

The object identi cation problem is particularly hard for XML data, due to its structural exibility. Tree edit distances have been proposed for approximate comparisons among XML trees. However, such distances ignore the semantics implicit in XML data structure, and their use is computationally infeasible for unordered data. In this paper, we de ne a new distance for XML data, the structure aware XML distance, that overcomes these issues, together with a polynomial-time algorithm to calculate it, and we present experimental result that prove its e ectiveness and e ciency.

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عنوان ژورنال:
  • IEEE Data Eng. Bull.

دوره 29  شماره 

صفحات  -

تاریخ انتشار 2006