Paper Info
Title
Taxonomy-Based Annotation of XML Documents: Application to eLearning Resources
Abstract
In this paper we propose an automatic mechanism for annotating XML documents. This mechanism relies on a simple data model whose main features are: (1) a modeling of XML documents as trees composed of elements that are possibly distributed over a network, (2) a composition operator to create new documents from existing ones, and (3) an inference algorithm for automatically deriving the annotation of composite documents from the annotations of their components. We illustrate the features of the model with an application to eLearning resources. We also describe a prototype which allows to create anew document from eLearning fragments collected over the Web, and generates an RDF-based annotation of the document's content. The RDF output can then be used as a support for browsing and querying, by users wishing to create new documents.
Year
DOI
Venue
2004
10.1007/978-3-540-24674-9_5
Lecture Notes in Computer Science
Keywords
Field
DocType
composition operator,xml document,data model
Data modeling,Annotation,Database query,Information retrieval,XML,Inference,Computer science,XML validation,Data model,The Internet
Conference
Volume
ISSN
Citations 
3025
0302-9743
5
PageRank 
References 
Authors
0.52
7
3
Name
Order
Citations
PageRank
Birahim Gueye150.85
Philippe Rigaux2444110.71
Nicolas Spyratos3736233.07