Learning Vague Knowledge from Socially Generated Content in an Enterprise Framework-Reference-Cited by-同舟云学术

Learning Vague Knowledge from Socially Generated Content in an Enterprise Framework

Published:2012 Issue: Volume: Page:510-519
ISSN:1868-4238
Container-title:IFIP Advances in Information and Communication Technology
language:
Short-container-title:

Author:

Alexopoulos Panos,Pavlopoulos John,Mylonas Phivos

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-33412-2_52.pdf

Reference13 articles.

1. Alexopoulos, P., Wallace, M., Kafentzis, K., Askounis, D.: IKARUS-Onto - A Methodology for Developing Fuzzy Ontologies. In: Knowledge and Information Systems, pp. 1–29. Springer, Heidelberg (2011)

2. Chen, S.M., Tsai, F.M.: A New Method to Construct Membership Functions and Generate Fuzzy Rules from Training Instances. Information and Management Sciences 16(2), 47–72 (2005)

3. Chen, W., Yang, Q., Zhu, L., Wen, B.: Research on Automatic Fuzzy Ontology Generation from Fuzzy Context. In: Proceedings of the 2009 Second International Conference on Intelligent Computation Technology and Automation, vol. 2, pp. 764–767. IEEE Computer Society, Washington, DC (2009)

4. Haveliwala, T.H.: Topic-sensitive PageRank. In: Proceedings of the Eleventh International World Wide Web Conference, Honolulu, Hawaii (2002)

5. Hyde, D.: Vagueness, Logic and Ontology. Ashgate New Critical Thinking in Philosophy (2008)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bibliography;Digital Imaging and Computer Vision;2014-06-18

2. A Semantic Framework for Harvesting Vague Enterprise Knowledge from Microposts;International Journal on Artificial Intelligence Tools;2014-04