2002
@inproceedings{DFD2002,
vgclass = {refpap},
author = {Alexandre Delteil and Catherine Faron and Rose Dieng},
title = {Building Concept Lattices by Learning Concepts from {RDF}
Graphs Annotating Web Documents},
editor = {Uta Priss and Dan Corbett and Galia Angelova},
booktitle = {Proceedings of the 10th International Conference on
Conceptual Structures, (ICCS 2002)},
address = {Borovets, Bulgaria},
number = {2393},
series = {Lecture Notes in Computer Science},
pages = {191--204},
publisher = {Springer-Verlag},
month = {July~15--19},
year = {2002},
url = {http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2393&spage=191},
abstract = {This paper presents a method for building concept
lattices by learning concepts from RDF annotations of Web documents.
It consists in extracting conceptual descriptions of the Web resources
from the RDF graph gathering all the resource annotations and then
forming concepts from all possible subsets of resources - each such
subset being associated with a set of descriptions shared by the
resources belonging to it. The concept hierarchy is the concept
lattice built upon a context built from the power context family
representing the RDF graph. In the framework of the CoMMA European IST
project dedicated to ontology-guided Information Retrieval in a
corporate memory, the hierarchy of the so learned concepts will enrich
the ontology of primitive concepts, organize the documents of the
organization's Intranet and then improve Information Retrieval. The
RDF Model is close to the Simple Conceptual Graph Model; our method
can be thus generalized to Simple Conceptual Graphs.},
}