@inproceedings{faf1fca06073498f974be2153c165321,
title = "Indexing semistructured data using PATRICIA tree",
abstract = "Information on the Web like HTML documents with images, video, and sound is a collection of heterogeneous data. HTML documents are semistructured in nature. Semistructured data are used to describe those structures which are less rigid or regular than those data found in standard database systems. This study presents a novel means of using Patricia Tree [14] to index semistructured data. This index is used by transferring the query into a regular expression and querying the regular expression over the Patricia Tree. The highlight of this approach is supporting query on content and structure simultaneously, while also supporting fast query time on long path and regular expressions.",
author = "Wu, {Li Cheng} and Horng, {Jorng Tzong} and Liu, {Baw Jhiune} and Wang, {Chin Yea} and Chen, {Gwo Dong}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2000.; 11th International Conference on Database and Expert Systems Applications, DEXA 2000 ; Conference date: 04-09-2000 Through 08-09-2000",
year = "2000",
doi = "10.1007/3-540-44469-6_80",
language = "???core.languages.en_GB???",
isbn = "9783540679783",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "859--868",
editor = "Mohamed Ibrahim and Josef Kung and Norman Revell",
booktitle = "Database and Expert Systems Applications - 11th International Conference, DEXA 2000, Proceedings",
}