OntoChat: a Framework for Conversational Ontology Engineering using Language Models thumbnail
slide-image
Pause
Mute
Subtitles not available
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

OntoChat: a Framework for Conversational Ontology Engineering using Language Models

Published on Jun 17, 202425 Views

Ontology engineering (OE) in large projects poses a number of challenges arising from the heterogeneous backgrounds of the various stakeholders, domain experts, and their complex interactions with on

Related categories

Chapter list

OntoChat: a Framework for Conversational Ontology Engineering using Language Models00:00
Ontology Engineering is Challenging00:17
Ontology Engineering is Challenging…especially in big projects!01:06
eXtreme Design OE Methodology02:12
Introduction03:00
[RQ 1] Survey03:54
[RQ 1] Survey results - 105:00
[RQ 1] Survey results - 205:17
[RQ 2] OntoChat: towards conversational ontology engineering06:21
[1] Assisted persona and story generation07:39
OntoChat - 109:00
User story generation example from Polifonia09:20
[2] Competency question extraction10:31
OntoChat - 211:04
CQs extraction example from Polifonia11:09
[3] Competency question filtration and analysis11:33
OntoChat - 312:23
CQs analysis example from Polifonia12:27
[4] Ontology testing support13:13
OntoChat - 413:52
Ontology testing example from Music meta ontology14:13
Evaluation14:24
Evaluation(User*Expertise)15:01
Evaluation (Collaborative User Story Creation)15:11
Evaluation (Competency Questions Extraction)15:54
Evaluation (Competency Question Clustering) - 116:01
Evaluation (Competency Question Clustering) - 216:34
Evaluation (Ontology Testing) - 116:40
Evaluation (Ontology Testing) - 216:53
Conclusion16:57
Thank you17:13