2004
DOI: 10.1007/978-3-540-30230-8_10
|View full text |Cite
|
Sign up to set email alerts
|

Ontology Based Interfaces to Access a Library of Virtual Hyperbooks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
13
0

Year Published

2005
2005
2012
2012

Publication Types

Select...
4
2
1

Relationship

3
4

Authors

Journals

citations
Cited by 13 publications
(13 citation statements)
references
References 10 publications
0
13
0
Order By: Relevance
“…For instance, we can use it to link to not only one, but multiple documents, or to link to a set of Document objects and have the link know which object comes next and which object was the previous in a set, or build a link to be able to search for more recent resources, or set up an abstract series of paths that a link could follow depending on a user's context. Further exploration of the implementation of XLink technology will be taken in the next stage of this research, which will concentrate on virtual document assembly [44] .…”
Section: Creation Of a Navigation Mechanism With Xlink And Xpointermentioning
confidence: 99%
“…For instance, we can use it to link to not only one, but multiple documents, or to link to a set of Document objects and have the link know which object comes next and which object was the previous in a set, or build a link to be able to search for more recent resources, or set up an abstract series of paths that a link could follow depending on a user's context. Further exploration of the implementation of XLink technology will be taken in the next stage of this research, which will concentrate on virtual document assembly [44] .…”
Section: Creation Of a Navigation Mechanism With Xlink And Xpointermentioning
confidence: 99%
“…In [20], a learning and assessment system based on the creation of course hyperbooks by groups of students is presented. Each group creates a hyperbook from a course ontology manually.…”
Section: Assessment In Elearningmentioning
confidence: 99%
“…The result is a multilingual ER containing a pivot core (each concept is identified by a unique identifier and denoted by a specific term in each language). Our concept alignment algorithm [19] [20] is based on the similarity of concept descriptions (both structural and linguistic) and the similarity of the documents associated to the concepts (definition, description, examples, etc. )…”
Section: External Resources Preparationmentioning
confidence: 99%