All doctoral or PhD degrees require a thesis/dissertation. Choosing the right topic can make the difference between success and failure. Here's how to choose a PhD topic.
MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.
About WikiProfessional
Wikiprofessional's Concept Web Initiative is a global collaboration to innovate how knowledge is represented and expanded on the Internet.
The Internet embodies an enormous information space that continues to expand exponentially in page count but not proportionally in new knowledge. Redundancy of the same facts and opinions within a myriad of web-pages has artificially inflated the size of the Internet. To get a million search results on a query without the ability to separate redundancy of the same information from the incremental knowledge expansions on that query concept is highly inefficient. Within the Concept Web, information is converted to streamlined knowledge where redundancy and newness of idea expansion are properly represented.
In the Concept Web, knowledge representation and expansion is accomplished with the aid of two revolutionary technologies: Knowlet and a new professional Wiki.
What Topic Maps Do
When XML is introduced into an organization it is usually used for one of two purposes: either to structure the organization's documents or to make that organization's applications talk to other applications. These are both useful ways of using XML, but they will not help anyone find the information they are looking for. What changes with the introduction of XML is that the document processes become more controllable and can be automated to a greater degree than before, while applications can now communicate internally and externally. But the big picture, something that collects the key concepts in the organization's information and ties it all together, is nowhere to be found.
[Diagram]
Y. Zuo, J. Wu, H. Zhang, H. Lin, F. Wang, K. Xu, and H. Xiong. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 2105–2114. New York, NY, USA, Association for Computing Machinery, (2016)
M. Hossen, M. Faiad, M. Chowdhury, and M. Islam. International Journal of Computer Science & Information Technology (IJCSIT), 10 (1):
95 - 105(February 2018)
C. Wang, and D. Blei. Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 448--456. New York, NY, USA, ACM, (2011)
Y. Chen, H. Dong, and W. Wang. Proceedings of the 2018 International Conference on Data Science and Information Technology, page 138--143. New York, NY, USA, ACM, (2018)
A. Hendrickson, J. Wang, and M. Atzmueller. Proc. 24th International Symposium on Methodologies for Intelligent Systems (ISMIS), Heidelberg, Germany, Springer Verlag, ((accepted) 2018)
C. Wang, and D. Blei. Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 448--456. New York, NY, USA, ACM, (2011)
P. Siehndel, and U. Gadiraju. Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference, EDBT/ICDT Workshops 2016, Bordeaux, France, March 15, 2016., (2016)
S. Vakulenko, O. Müller, and J. vom Brocke. Proceedings of the International Conference on Information Systems - Building a Better World through Information Systems, ICIS 2014, Auckland, New Zealand, December 14-17, 2014, Association for Information Systems, (2014)
A. Bakalov, A. McCallum, H. Wallach, and D. Mimno. Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, page 237--240. New York, NY, USA, ACM, (2012)
T. Tran, N. Tran, A. Teka Hadgu, and R. Jäschke. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics, (September 2015)
K.Ramya, S. Rajakumari, and D. Nalini. International Journal on Recent and Innovation Trends in Computing and Communication, 3 (3):
1338--1343(March 2015)
T. Tran, N. Tran, A. Hadgu, and R. Jäschke. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), page 97--106. Association for Computational Linguistics, (September 2015)
J. Eisenstein, B. O'Connor, N. Smith, and E. Xing. Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, page 1277--1287. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)
D. Goyal, and M. Kalra. Proceedings of the International Conference on Signal Propagation and Computer Technology (ICSPCT), page 257--262. IEEE, (July 2014)
D. Taibi, S. Dietze, B. Fetahu, and G. Fulantelli. Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference, ISWC 2014, Riva del Garda, Italy, October 21, 2014., page 353--356. (2014)
B. Nunes, R. Kawase, B. Fetahu, M. Casanova, and G. de Campos. Web Information Systems Engineering - WISE 2014 - 15th International Conference, Thessaloniki, Greece, October 12-14, 2014, Proceedings, Part II, page 351--364. (2014)
P. Siehndel, R. Kawase, E. Herder, and T. Risse. Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference (ISWC 2014), volume 1272 of CEUR-WS.org, page 369-372. (2014)
C. Kling, J. Kunegis, S. Sizov, and S. Staab. Proceedings of the 7th ACM international conference on Web search and data mining, page 603--612. ACM, (2014)