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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Palmeira da Silva, C. Magalhaes de Morais, J. Cavalcante Monteiro, D. |
| Copyright Year | 2013 |
| Description | Author affiliation: Inst. de Cienc. Exatas e Naturais - (ICEN), Univ. Fed. do Para (UFPa), BeleĢm, Brazil (Palmeira da Silva, C.; Magalhaes de Morais, J.; Cavalcante Monteiro, D.) |
| Abstract | Representing knowledge in the beginning of the 21st century has become a challenge due to the large volume of information to which we are submitted. Associate intelligent techniques have become a relevant method in this context, however studies are still lacking with the aim of making the process simpler for the user. Considering the current state of the art of NLP text labelers, this proposal is based on texting efficiently and without complexity through the use of free texts. We evaluated this proposal using concept maps to represent knowledge of entity relationships and compared the maps with the approach of the conceptual model. This proposal was able to satisfy the representation with a correct percentage rate of over 90%. |
| Starting Page | 236 |
| Ending Page | 241 |
| File Size | 956542 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479935161 |
| DOI | 10.1109/ISDA.2013.6920741 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-12-08 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | NLP Noise Subspace constraints concept maps Tagging Syntactics Motion pictures Thesauri text Proposals representation knowledge |
| Content Type | Text |
| Resource Type | Article |
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