Title
Conceptual Graphs and Ontologies for Information Retrieval
Abstract
We propose a mechanism for annotating and querying document collections based on the semantic modeling of the context of a search. We model on the one hand the topics concerned by the content of the document and on the other hand the metadata associated with the documents, by means of two ontologies expressed in the conceptual graph model. The semantic annotating mechanism is done by automatically building conceptual graphs.
Year
DOI
Venue
2007
10.1007/978-3-540-73681-3_39
ICCS
Keywords
Field
DocType
semantic modeling,conceptual graph,semantic annotating mechanism,conceptual graphs,information retrieval,conceptual graph model,querying document collection,semantic model
Ontology (information science),Metadata,Semantic integration,Graph,Information retrieval,Semantic annotation,Computer science,Conceptual graph,Semantic grid,Natural language processing,Artificial intelligence,Semantic computing
Conference
Volume
ISSN
Citations 
4604
0302-9743
3
PageRank 
References 
Authors
0.44
3
3
Name
Order
Citations
PageRank
Catherine Comparot1167.05
Ollivier Haemmerlé225037.16
Nathalie Hernandez315130.12