An Ontology-driven Approach for Semantic Annotation of Documents with Specific Concepts thumbnail
Pause
Mute
Subtitles
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

An Ontology-driven Approach for Semantic Annotation of Documents with Specific Concepts

Published on Jul 28, 20161391 Views

This paper deals with an ontology-driven approach for semantic annotation of documents from a corpus where each document describes an entity of a same domain. The goal is to annotate each document wit

Related categories

Chapter list

An Ontology-driven Approach for Semantic Annotation of Documents with Specific Concepts00:00
Outline - 100:16
Automatic semantic annotation of documents00:26
Generic method: has to work for different domains00:52
Untitled01:59
Target concepts = specific concepts02:14
Related work: no solution in the state of the art03:31
Untitled03:33
Our approach: 4 inputs (provided) - 104:34
Our approach: 4 inputs (provided) - 205:39
Our approach: 4 inputs (provided) - 306:48
The SAUPODOC approach08:05
Preliminary task09:19
Task 1: data extraction from texts09:43
Task 2: data completion with LOD (implemented with DBpedia) - 111:09
Untitled11:24
Task 2: data completion with LOD (implemented with DBpedia) - 311:38
Task 2: data completion with LOD (implemented with DBpedia) - 412:29
Task 3: learning the definitions of target concepts - 113:21
Task 3: learning the definitions of target concepts - 214:08
Task 3: learning the definitions of target concepts - 314:16
Task 4: reasoning to annotate the documents - 114:33
Task 4: reasoning to annotate the documents - 215:29
Experimental evaluation: procedure15:43
Experimental evaluation: the two tested domains16:54
Experimental evaluation: average results on the test set17:13
Experimental evaluation: explicit definitions - 117:36
Experimental evaluation: explicit definitions - 218:31
Conclusion 18:43
Untitled19:30
References I20:07
Thank you20:08