@inproceedings{aeb702a09b904bd3b95a8e15bacd0322,
title = "Similarity measurement of XML documents based on structure and contents",
abstract = "Researches on the similarity measure between XML documents are being progressed in order to effectively control and retrieve various XML documents. Previous works mostly suggest similarity-measuring methods focusing only on the tag structure of XML documents. However, they have a problem of incorrectly calculating the semantic similarity of XML contents. In this paper, we propose a new similarity measurement method considering not only the structural information of tags in XML documents but also the semantic information of tags and text content information related with the tags. Our experiments demonstrate that our proposed method improves the accuracy of similarity, compared to the previous works.",
author = "Kim, {Tae Soon} and Lee, {Ju Hong} and Song, {Jae Won} and Kim, {Deok Hwan}",
year = "2007",
doi = "10.1007/978-3-540-72588-6_144",
language = "English",
isbn = "9783540725879",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 3",
pages = "902--905",
booktitle = "Computational Science - ICCS 2007 - 7th International Conference, Proceedings",
address = "Germany",
edition = "PART 3",
note = "7th International Conference on Computational Science, ICCS 2007 ; Conference date: 27-05-2007 Through 30-05-2007",
}