References:
[1] Miles, A. & Brickley, D. (2009, August 18). SKOS Simple
Knowledge Organization System Primer. Retrieved from
https://www.w3.org/TR/skos-primer/.
[2] Agˆencia Nacional do Petr´oleo, G´as Natural e Biocombust´ıveis (2016,
August 19). Gloss´ario Retrieved from http://www.anp.gov.br/glossario.
[3] Fern´andez, E. F., Pedrosa Junior, O., Pinho , A. C. (2015, January 7).
Dicion´ario do Petr´oleo Retrieved from http://dicionariodopetroleo.com.br.
[4] Anthonysamy, P., Edwards, M. J., Weichel, C. & Rashid, A. (2016).
Inferring Semantic Mapping Between Policies and Code: The Clue is
in the Language. In: ESSoS (p./pp. 233-250): Springer.
[5] Avila, Ricardo, Santos, Salomao, Araujo, David, Vidal, Vania Maria Ponte
and de Macedo, Jose Antonio Fernandes. Semantic Links Using SKOS
Predicates. Paper presented at the meeting of the KES, 2017.
[6] Bland, J. M. and D. G. Altman (1996). Transformations, means, and
confidence intervals. 312(7038), 1079.
[7] Bot, M. C. J. (2000). Improving Induction of Linear Classification Trees
with Genetic Programming. In: Proc. of the Genetic and Evolutionary
Computation Conference (GECCO-2000). Las Vegas,Nevada,USA, pp.
403–410.
[8] Brown, M. L. and J. F. Kros (2009). Imprecise Data and the Data Mining
Process. In: Encyclopedia of Data Warehousing and Mining. IGI Global,
pp. 999–1005.
[9] Chakrabarti, S. (2002). Mining the Web: Discovering Knowledge from
Hypertext Data. Morgan-Kauffman.
[10] Engels, R., G. Lindner, and R. Studer (1997). A Guided Tour through
the Data Mining Jungle. In: KDD. AAAI Press, pp. 163–166.
[11] Engels, R. and C. Theusinger (1998). Using a Data Metric for
Preprocessing Advice for Data Mining Applications. In: ECAI, pp.
430–434.
[12] Hasan, M. A., V. Chaoji, S. Salem, and M. Zaki (2006). Link Prediction
Using Supervised Learning. In: Proc. of SDM 06 workshop on Link
Analysis, Counterterrorism and Security.
[13] Joachims, T. (2002). Learning to Classify Text Using Support Vector
Machines. Kluwer Academic Publishers.
[14] Kuhn, M. and K. Johnson (2013). Applied predictive modeling. Vol. 26.
Springer.
[15] Lampos, V., B. Zou, and I. J. Cox (2017). Enhancing Feature Selection
Using Word Embeddings: The Case of Flu Surveillance. In: WWW. ACM,
pp. 695–704.
[16] Lesk, M. (1986). Automatic sense disambiguation using machine
readable dictionaries: how to tell apine cone from an ice cream cone. In:
Proceedings of ACM SIGDOC Conference, pp. 24–26.
[17] Lichtenwalter, R., J. T. Lussier, and N. V. Chawla (2010). New
perspectives and methods in link prediction. In: KDD, pp. 243–252.
[18] Miles, A. and S. Bechhofer (2008). SKOS Simple
Knowledge Organization System Reference. W3C. URL:
http://www.w3.org/TR/skos-reference.
[19] Miles, A., B. Matthews, M. Wilson, and D. Brickley (2005). SKOS core:
Simple Knowledge Organisation for the Web. In: Proc. of international
conference on DC and metadata applications. DC Metadata Initiative, pp.
1–9.
[20] Morik, K. (2000). The Representation Race - Preprocessing for Handling
Time Phenomena. In: ECML. Vol. 1810. Lecture Notes in Computer
Science. Springer, pp. 4–19.
[21] Muller, P., C. Fabre, and C. Adam (2014). Predicting the relevance
of distributional semantic similarity with contextual information. In:
Proc. of the 52nd Annual Meeting of the Association for Computational
Linguistics. Volume 1, pp. 479–488.
[22] Mustapha, S. M. F. D. S. (2018). Case-based reasoning for identifying
knowledge leader within online community. Expert Syst. Appl. 97,
244–252.
[23] Su, Y. and S.-U. Guan (2016). Density and Distance Based KNN
Approach to Classification. IJAEC7(2), 45–60.
[24] Sun, S., D. Liu, G. Li, W. Yu, and L. Pang (2010). Combination of
Ontology Model and Semantic Link Network in Web Resource Retrieval.
In: SKG. IEEE Computer Society, pp. 285–288.
[25] Ukey, K. and A. Alvi (2012). Text Classification using Support
Vector Machine. In: International Journal of Engineering and Technology
(IJERT).
[26] Volker, J., P. Haase, and P. Hitzler (2009). Learning expressive
ontologies. IOS Press.
[27] Volz, J., C. Bizer, M. Gaedke, and G. Kobilarov (2009). Discovering
and Maintaining Links on the Web of Data. In: International Semantic
Web Conference. Vol. 5823. Springer, pp. 650–665.
[28] Wang, Z., J. Li, Y. Zhao, R. Setchi, and J. Tang (2013). A unified
approach to matching semantic data onthe Web. Knowl.-Based Syst.39,
173–184.
[29] Weiss, S. M., N. Indurkhya, T. Zhang, and F. Damerau (2005). Text
Mining: Predictive Methods for Analyzing Unstructured Information.
Springer.
[30] Zhang, C., G.-R. Xue, Y. Yu, and H. Zha (2009). Web-scale classification
with naive bayes. In: WWW.ACM, pp. 1083–1084.
[31] Zhang, J. and Y. Yang (2003). Robustness of regularized linear
classification methods in text categorization. In: SIGIR. ACM, pp.
190–197.
[32] Zhuge, H. (2009). Communities and Emerging Semantics in Semantic
Link Network: Discovery and Learning. IEEE Trans. Knowl. Data Eng.21
(6), 785–799.
