Ontology-based question answering systems over knowledge bases: A survey

W Franco, CVAOS Avila, G Maia… - 22nd International …, 2020 - repositorio.ual.pt
Searching relevant, specific information in big data volumes is quite a challenging task.
Despite the numerous strategies in the literature to tackle this problem, this task is usually …

Business relation extraction from texts

H Khaldi - 2022 - theses.hal.science
The economy of the twenty-first century has shaped the economic landscape and changed
the way market stakeholders interact with one another in a global market where national …

[PDF][PDF] Ontology Based Question Answering System for Telugu Agriculture data

B Saujanya - 2022 - web2py.iiit.ac.in
Abstract Agriculture Ontology for Telugu language (AOT) is a new ontology that we have
created for plants and their diseases that models semantic relations between the entities in …

[PDF][PDF] A systematic survey of relation extraction for knowledge graph question answering

A Galstyan - 2022 - edoc.sub.uni-hamburg.de
Abstract Knowledge graph question answering (KGQA) is a research field in which a given
input question is answered with the help of a knowledge graph (KG) such as Freebase [35] …

Un système d'assistance aux apprenants en difficultés dans un environnement d'apprentissage à distance

S NAILI - 2021 - dspace.univ-guelma.dz
Durant ces dernières années en général et l'année dernière (2020) en particulier où le
monde entier a été touché par la pandémie de Coronavirus, plusieurs pays ont adopté …

[PDF][PDF] Fault Detection of Elevator System using Deep Autoencoder Feature Extraction for Acceleration Signals.

KM Mishra, K Huhtala - KEOD, 2019 - scitepress.org
In this research, we propose a generic deep autoencoder model for automatic calculation of
highly informative deep features from the elevator time series data. Random forest algorithm …