DOCINER : A Document Indexation Tool for Learning Objects

Suphakit Niwattanakul (1) , Philippe Martin (2) , Michel Eboueya (3)

1 School of Information Technology
2 Eurecom [Sophia Antipolis]
3 L3I - Laboratoire Informatique, Image et Interaction - EA 2118

In this paper, we present a method we implemented to help a user index documents (and, in particular, learning objects) according to a given set of concepts (terms referring to domains or topics). The user first associates keywords to the concepts. Our method uses such associations to suggest simple rules for indexing a document by concepts according to the keywords this document contains. Then, our system uses those rules to perform the indexation of documents.

Mots clés: document indexation; formal concept analysis

Suphakit Niwattanakul, Philippe Martin, Michel Eboueya. DOCINER : A Document Indexation Tool for Learning Objects. 2009 Fifth International Joint Conference on INC, IMS and IDC, 2009, Aug 2009, Seoul, South Korea. pp.859-863. ⟨hal-00389173⟩