LEOnto+: a scalable ontology enrichment approach

S Sassi, A Tissaoui, R Chbeir - World Wide Web, 2022 - Springer
Distributional semantic models like the Latent Dirichlet Allocation (LDA) model Guo et
al.(Concurr. Comput.: Pract. Exper. 29 (3), 319–343) consist of defining similar …

Probabilistic topic models for enriching ontology from texts

A Tissaoui, S Sassi, R Chbeir - SN Computer Science, 2020 - Springer
The ontology enrichment process is text-based and the application domain in hand is
circumscribed to the content of the related texts. However, the main challenge in ontology …

An ontology-based latent semantic indexing approach using long short-term memory networks

N Ma, HT Zheng, X Xiao - Web and Big Data: First International Joint …, 2017 - Springer
Nowadays, online data shows an astonishing increase and the issue of semantic indexing
remains an open question. Ontologies and knowledge bases have been widely used to …

LEOnto: new approach for ontology enrichment using LDA

A Tissaoui, S Sassi, R Chbeir - … of the 12th International Conference on …, 2020 - dl.acm.org
The Latent Dirichlet Allocation (LDA) model [18] was originally developed and utilised for
document modeling and topic extraction in Information Retrieval. To design high quality …

A system for probabilistic linking of thesauri and classification systems

L Posch, P Schaer, A Bleier, M Strohmaier - KI-Künstliche Intelligenz, 2016 - Springer
This paper presents a system which creates and visualizes probabilistic semantic links
between concepts in a thesaurus and classes in a classification system. For creating the …