DHOUIB , Molka

In the domain of Information Retrieval and Natural Language Processing, text classification has become a crucial task. In this article, we share our experience of text cate-gorization in an industrial context and we present a comparative evaluation of binary and multi-label classification algorithms applied to texts describing service offers,...

Ces dernières années, de nombreuses entreprises s'orientent vers l'intégration du développement d'ontologies au sein de leurs processus pour mieux organiser les connaissances mises en jeu et améliorer les performances de leur traitement automatique. Dans cet article, nous décrivons notre travail de modélisation d'ontologie dans le domaine du...

In this paper, we present the ZooKG-Pliny knowledge Graph constructed from a manual annotation of Pliny's Naturalis Historia using concepts gathered in the thesaurus TheZoo. ZooKG-Pliny is based on a semantic model that formalizes knowledge about the annotations of zoological information in texts. ZooKG-Pliny allows the integration and the...

As part of the SMILK Joint Lab, we studied the use of Natural Language Processing to: (1) enrich knowledge bases and link data on the web, and conversely (2) use this linked data to contribute to the improvement of text analysis and the annotation of textual content, and to support knowledge extraction. The evaluation focused on brand-related...

One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is that of a: "Public FAIR Knowledge Graph of Everything: We increasingly see the creation of knowledge graphs that capture information about the entirety of a class of...