On automatically extracting discoveries from user generated content
© 2014 IEEE. The internet is a rich source of knowledge that is constantly expanding as users generate content which needs to be organized and classified. Future versions of the web are likely to include intelligent software agents capable of using metadata to understand complex relationships and be...
Saved in:
| Main Author: | |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2015
|
| Online Access: | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84908884123&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/39066 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Chiang Mai University |
| id |
th-cmuir.6653943832-39066 |
|---|---|
| record_format |
dspace |
| spelling |
th-cmuir.6653943832-390662015-06-16T08:01:26Z On automatically extracting discoveries from user generated content Cosh,K.J. © 2014 IEEE. The internet is a rich source of knowledge that is constantly expanding as users generate content which needs to be organized and classified. Future versions of the web are likely to include intelligent software agents capable of using metadata to understand complex relationships and better support users in discovering new knowledge. Wikipedia is a rich source of knowledge, but with limited and inconsistent structure to its content there has been limited progress in developing agents to use this information. This paper investigates using natural language processing to add metadata to Wikipedia articles, and presents an application where users could use the metadata to discover an alternative destination. 2015-06-16T08:01:26Z 2015-06-16T08:01:26Z 2014-01-01 Conference Paper 2-s2.0-84908884123 10.1109/CISIS.2014.47 http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84908884123&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/39066 |
| institution |
Chiang Mai University |
| building |
Chiang Mai University Library |
| country |
Thailand |
| collection |
CMU Intellectual Repository |
| description |
© 2014 IEEE. The internet is a rich source of knowledge that is constantly expanding as users generate content which needs to be organized and classified. Future versions of the web are likely to include intelligent software agents capable of using metadata to understand complex relationships and better support users in discovering new knowledge. Wikipedia is a rich source of knowledge, but with limited and inconsistent structure to its content there has been limited progress in developing agents to use this information. This paper investigates using natural language processing to add metadata to Wikipedia articles, and presents an application where users could use the metadata to discover an alternative destination. |
| format |
Conference or Workshop Item |
| author |
Cosh,K.J. |
| spellingShingle |
Cosh,K.J. On automatically extracting discoveries from user generated content |
| author_facet |
Cosh,K.J. |
| author_sort |
Cosh,K.J. |
| title |
On automatically extracting discoveries from user generated content |
| title_short |
On automatically extracting discoveries from user generated content |
| title_full |
On automatically extracting discoveries from user generated content |
| title_fullStr |
On automatically extracting discoveries from user generated content |
| title_full_unstemmed |
On automatically extracting discoveries from user generated content |
| title_sort |
on automatically extracting discoveries from user generated content |
| publishDate |
2015 |
| url |
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84908884123&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/39066 |
| _version_ |
1681421587205586944 |