Bibliographic References

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Chang, R., Use constraints to guide semi-supervised learning, ACL’07;ICML’08,Long’10, http://acl.ldc.upenn.edu/P/P07/P07-1036.pdf

Chaves, J., Curry C., Grossman, R. L., Locke D., and Vejcik, S. , The Design and Architecture of a PMML-Based Scoring Engine, http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.148.3003

Cunningham, H.,  Maynard, D. ,  Bontcheva, K., Tablan, V.  GATE: an Architecture for Development of Robust HLT Applications,  http://gate.ac.uk/sale/acl02/acl-main.pdf

Ikonomovska, E., Suzana Loskovska, Fejan Gjorgjevik, A Survey of Stream Data Mining, http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.65.8681

Kavalec, M, and Svatek, V., Information Extraction and Ontology Learning Guided by Web Directory, http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.6823

McCallum, A. Extraction: Stilling Structured Data from Unstructured Text. ACM Queue, Nov. 2005. 49-57, http://ExtractJobAnnie.pdf

 

Mooney, R. and Nahm, U. Y., Text Mining with Information Extraction, Multilingualism and Electronic Language Management: Proceedings of the 4th International MIDP Colloquium, September 2003, pp.141-160.

 

Fayyad, U.  Piatetsky-Shapiro, G. Smyth, P. The KDD Process for Extracting Useful Knowledge from Volumes of Data, Communications of the ACM, November 1996/Vol. 39, No. 11

Vargas-Vera, M., Motta, E., Domingue, J. and et el. Ontology Driven Semi-Automatic and Automatic Support for Semantic Markup, http://projects.kmi.open.ac.uk/akt/publication-pdf/vargas-saakm02.pdf5.