| Research Title |
Thai Web Forum Topic Suggestion Using Thai WordNet Graph Semantic Relations |
| Date of Distribution |
9 July 2011 |
| Conference |
| Title of the Conference |
The 3 rd International Conference on Knowledge and Smart Technologies (KST-2011) |
| Organiser |
Faculty of Informatics, Burapha University |
| Conference Place |
Burapha University |
| Province/State |
Chonburi, Thailand |
| Conference Date |
9 July 2011 |
| To |
11 June 2011 |
| Proceeding Paper |
| Volume |
3 |
| Issue |
1 |
| Page |
13-18 |
| Editors/edition/publisher |
|
| Abstract |
Searching information in a web forum is difficult
because of the ambiguity of natural languages. This work
uses semantic relation from Thai WordNet as a graph
relation to rank the existing topics for answer suggestion.
We segment each topic to a sequence of words and tag
each part of a given speech. Such information will be
converted in to a sub graph and relations to WordNet.
When a user enters a new topic, a sub-graph will be
created and then compared with existing topic graph
relations to select the most related topics. The
experimental results have shown that the proposed
approach can provide closely related answers for the
newly entered topic that has no exact matched word.
|
| Author |
|
| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Full paper |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| Presentation awarding |
false |
| Attach file |
|
| Citation |
0
|
|
|
Publication
Journal Publication
ไทย