An ontology-based approach for detecting knowledge intensive tasks
type: Dataset
description: International audience
issued: 2026-05-09T09:51:05.369795
language: en
modified: 2026-05-09T09:51:05.369801
contact point: Organization
  fn: CCSD
keyword: classification
keyword: context-awareness
keyword: infoeu-reposemanticsarticle
keyword: infoinfo-lgcomputer-science-csmachine-learning-cslg
keyword: journal-articles
keyword: task-detection
keyword: user-context-detection
keyword: user-context-ontology
landing page: 0972-7272

An ontology-based approach for detecting knowledge intensive tasks
type: Distribution
format: HTML
issued: 2026-05-09T09:51:05.371073
modified: 2026-05-09T09:51:05.357504
access URL: https://hal.science/hal-00872209

test_moissonnage_selune
type: Agent