| 摘要 |
<p>According to one aspect of the invention, iterative local alignment is employed to process two versions of a text and to identify novel contributions and their positions in the newer text version. In one embodiment, the new or target version of the text is aligned to the old or reference version of the text in an iterative process. The iterative process produces a local alignment of both text versions, which is optimal according to the selected parameters. In another embodiment, aligned substrings are removed from the texts and the iterative process is continued until no more aligned substrings can be obtained. In one example, authorship may be transferred from every aligned substring of the reference text version to the corresponding substring of the target text version. In another example, authorship for unaligned substrings of the target text version may be assigned to the author of the target text version. In one embodiment, unaligned substrings of the reference text version can be identified as deleted by the author of the target text version. In another embodiment, deleted substrings can be stored latently and can be considered in subsequent alignments. In another aspect of the invention, the method and system for tracking authorship of content in data may be employed in collaborative text editing systems or in word processing applications to identify and track the contributions of individual authors.</p> |
