Conversion of learning objects to meaningful XML

被引：0

作者：

Biletskiy, Y ^{[1
]}

Scribner, T ^{[1
]}

机构：

[1] Univ New Brunswick, Dept Elect & Comp Engn, Fredericton, NB E3B 5A3, Canada

来源：

PROCEEDINGS OF THE FOURTH IASTED INTERNATIONAL CONFERENCE ON COMMUNICATIONS, INTERNET, AND INFORMATION TECHNOLOGY | 2005年

关键词：

distance education; information retrieval; XML; e-Learning;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents an approach of information extraction from HTML documents which represent teaming objects and converting them into meaningful XML format, which represents not only the document's content but also the meaning of its data entries. The present paper covers a very specific domain of course descriptions because the work is closely related to the research in achieving interoperability among semantically heterogeneous teaming objects and learners [1]. Once the meaningful XML representation of a teaming object is built the document can be converted to any other format as well as to any learner's context. The extraction methods presented in this work use recognition of a finite number of patterns in the course descriptions. These methods are implemented in the HTML-XML Converter, and an example of the conversion process is given.

引用

页码：125 / 130

页数：6