Text2MARK: A text mining tool in the aid of knowledge representation

Clay Palmeira Da Silva; Jefferson Magalhaes de  Morais; Dionne Monteiro

doi:10.1109/ISDA.2013.6920741

Text2MARK: A text mining tool in the aid of knowledge representation

Clay Palmeira Da Silva, Jefferson Magalhaes de Morais, Dionne Monteiro

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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%.

Original language	English
Title of host publication	13th International Conference on Intellient Systems Design and Applications - ISDA
Publisher	IEEE
Pages	236-241
Number of pages	6
ISBN (Electronic)	9781479935161, 9781479925154
DOIs	https://doi.org/10.1109/ISDA.2013.6920741
Publication status	Published - 13 Oct 2014
Externally published	Yes
Event	13th International Conference on Intellient Systems Design and Applications - Salangor, Malaysia Duration: 8 Dec 2013 → 10 Dec 2013 Conference number: 13

Publication series

Name	International Conference on Intellient Systems Design and Applications
Publisher	IEEE
Volume	2013
ISSN (Print)	2164-7143
ISSN (Electronic)	2164-7151

Conference

Conference	13th International Conference on Intellient Systems Design and Applications
Country/Territory	Malaysia
City	Salangor
Period	8/12/13 → 10/12/13

Access to Document

10.1109/ISDA.2013.6920741Licence: Unspecified

Cite this

Palmeira Da Silva, C., Morais, J. M. D., & Monteiro, D. (2014). Text2MARK: A text mining tool in the aid of knowledge representation. In 13th International Conference on Intellient Systems Design and Applications - ISDA (pp. 236-241). [6920741] (International Conference on Intellient Systems Design and Applications; Vol. 2013). IEEE. https://doi.org/10.1109/ISDA.2013.6920741

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title = "Text2MARK: A text mining tool in the aid of knowledge representation",

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%.",

keywords = "knowledge, text, NLP, representation, concept maps",

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Palmeira Da Silva, C, Morais, JMD & Monteiro, D 2014, Text2MARK: A text mining tool in the aid of knowledge representation. in 13th International Conference on Intellient Systems Design and Applications - ISDA., 6920741, International Conference on Intellient Systems Design and Applications, vol. 2013, IEEE, pp. 236-241, 13th International Conference on Intellient Systems Design and Applications, Salangor, Malaysia, 8/12/13. https://doi.org/10.1109/ISDA.2013.6920741

Text2MARK : A text mining tool in the aid of knowledge representation. / Palmeira Da Silva, Clay; Morais, Jefferson Magalhaes de ; Monteiro, Dionne.

13th International Conference on Intellient Systems Design and Applications - ISDA. IEEE, 2014. p. 236-241 6920741 (International Conference on Intellient Systems Design and Applications; Vol. 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - 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%.

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